3,728 Data Analytics Apprenticeship March 2026 Start English jobs in India
Data Analytics Apprenticeship, March 2026 Start (English)
Mumbai, Maharashtra
Google
Posted today
Job Viewed
Job Description
Please complete your application before **September 14, 2025** .
This role is not eligible for immigration sponsorship.
ELIGIBILITY CRITERIA:
+ Applicants should not have been enrolled in any prior Government Apprenticeship programs.
+ Applicants must have their Aadhaar number linked to their active mobile number and have a personal email ID. This is a mandatory requirement for registration and verification.
PLEASE NOTE:
Apprentices are expected to complete the tenure of the respective program track to receive the certificate of completion in accordance with the program guidelines. This timeline ensures you get the full value of the program and are best prepared for future opportunities. Apprentices may apply for full-time employee (FTE) roles at Google only when they reach the final three months of the apprenticeship program.
This is a hybrid role, which requires regular in-person work at a Google office. Relocation is not supported during the apprenticeship. We are looking for candidates who are committed to successfully completing the entire program in a hybrid capacity.
The whole process will spread across 18 to 20 weeks, kindly be patient during the same.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ Less than 1 year of experience in data analytics post graduation.
+ Experience with using Google Workspace (e.g., Gmail, Chrome, Docs, Sheets, etc.) or similar applications.
+ Ability to communicate in English fluently, to understand and execute instructions and learn via training documentations and presentations.
**Preferred qualifications:**
+ Understanding of SQL programming.
+ Knowledge of data analysis or interest in working with numbers and patterns.
+ Ability to navigate ambiguous tasks, find suitable solutions, and seek help/advice where appropriate.
+ Ability to work independently and within a team framework.
+ Excellent problem solving and critical thinking skills.
The Google Data Analytics Apprenticeship is a learning and development program for 24 months, Apprentices are expected to join in person at their assigned in-office and participate full-time (~40 hours, weekly) throughout the program. The program includes work experience with a Google team supported by external training to empower those looking to start a career in Data Analytics. You will spend 20% of your time studying in a tailored training program and the rest of the time on projects with assigned Google teams to gain experience.
Selected applicants will be matched to a team and will need to colocate, teams could be in Hyderabad, Gurugram, Mumbai or Bengaluru. Relocation assistance is provided for those who move +100km to their matched office location.
Apprenticeships are not a full-time permanent opportunity, the program is 24 months in duration. While the program is open to those who are interested in Data Analytics careers, recent graduates and individuals with work experience in other industries may apply.
At Google, we don't just accept differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community.
Apprenticeships contribute towards the development of digital skills by providing opportunities for work and study. They can serve as part of your journey to a meaningful career. During the program, apprentices get exposure to different areas and teams at Google, while receiving external training and developing their professional skills on the job.
**Responsibilities:**
+ Assess data accurately and identify anomalies, create documents for knowledge sharing, and conduct custom analysis to uncover industry insights for Google's customers.
+ Solve real life problems while developing and learning from working leaders. Use data to quantify the business impact of Google media recommendations.
+ Gain an understanding of the data lifecycle and how this translates to different business units solving issues with data. Gain practice with a range of tools and techniques, distilling down data for actionable takeaways and making recommendations across different business groups.
+ Develop knowledge of essential data analysis skills and use spreadsheets and programming languages to organize and analyze data.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
This role is not eligible for immigration sponsorship.
ELIGIBILITY CRITERIA:
+ Applicants should not have been enrolled in any prior Government Apprenticeship programs.
+ Applicants must have their Aadhaar number linked to their active mobile number and have a personal email ID. This is a mandatory requirement for registration and verification.
PLEASE NOTE:
Apprentices are expected to complete the tenure of the respective program track to receive the certificate of completion in accordance with the program guidelines. This timeline ensures you get the full value of the program and are best prepared for future opportunities. Apprentices may apply for full-time employee (FTE) roles at Google only when they reach the final three months of the apprenticeship program.
This is a hybrid role, which requires regular in-person work at a Google office. Relocation is not supported during the apprenticeship. We are looking for candidates who are committed to successfully completing the entire program in a hybrid capacity.
The whole process will spread across 18 to 20 weeks, kindly be patient during the same.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ Less than 1 year of experience in data analytics post graduation.
+ Experience with using Google Workspace (e.g., Gmail, Chrome, Docs, Sheets, etc.) or similar applications.
+ Ability to communicate in English fluently, to understand and execute instructions and learn via training documentations and presentations.
**Preferred qualifications:**
+ Understanding of SQL programming.
+ Knowledge of data analysis or interest in working with numbers and patterns.
+ Ability to navigate ambiguous tasks, find suitable solutions, and seek help/advice where appropriate.
+ Ability to work independently and within a team framework.
+ Excellent problem solving and critical thinking skills.
The Google Data Analytics Apprenticeship is a learning and development program for 24 months, Apprentices are expected to join in person at their assigned in-office and participate full-time (~40 hours, weekly) throughout the program. The program includes work experience with a Google team supported by external training to empower those looking to start a career in Data Analytics. You will spend 20% of your time studying in a tailored training program and the rest of the time on projects with assigned Google teams to gain experience.
Selected applicants will be matched to a team and will need to colocate, teams could be in Hyderabad, Gurugram, Mumbai or Bengaluru. Relocation assistance is provided for those who move +100km to their matched office location.
Apprenticeships are not a full-time permanent opportunity, the program is 24 months in duration. While the program is open to those who are interested in Data Analytics careers, recent graduates and individuals with work experience in other industries may apply.
At Google, we don't just accept differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community.
Apprenticeships contribute towards the development of digital skills by providing opportunities for work and study. They can serve as part of your journey to a meaningful career. During the program, apprentices get exposure to different areas and teams at Google, while receiving external training and developing their professional skills on the job.
**Responsibilities:**
+ Assess data accurately and identify anomalies, create documents for knowledge sharing, and conduct custom analysis to uncover industry insights for Google's customers.
+ Solve real life problems while developing and learning from working leaders. Use data to quantify the business impact of Google media recommendations.
+ Gain an understanding of the data lifecycle and how this translates to different business units solving issues with data. Gain practice with a range of tools and techniques, distilling down data for actionable takeaways and making recommendations across different business groups.
+ Develop knowledge of essential data analysis skills and use spreadsheets and programming languages to organize and analyze data.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
This advertiser has chosen not to accept applicants from your region.
0
Data Analytics Apprenticeship, March 2026 Start (English)
Hyderabad, Andhra Pradesh
Google
Posted today
Job Viewed
Job Description
Please complete your application before **September 14, 2025** .
This role is not eligible for immigration sponsorship.
ELIGIBILITY CRITERIA:
+ Applicants should not have been enrolled in any prior Government Apprenticeship programs.
+ Applicants must have their Aadhaar number linked to their active mobile number and have a personal email ID. This is a mandatory requirement for registration and verification.
PLEASE NOTE:
Apprentices are expected to complete the tenure of the respective program track to receive the certificate of completion in accordance with the program guidelines. This timeline ensures you get the full value of the program and are best prepared for future opportunities. Apprentices may apply for full-time employee (FTE) roles at Google only when they reach the final three months of the apprenticeship program.
This is a hybrid role, which requires regular in-person work at a Google office. Relocation is not supported during the apprenticeship. We are looking for candidates who are committed to successfully completing the entire program in a hybrid capacity.
The whole process will spread across 18 to 20 weeks, kindly be patient during the same.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ Less than 1 year of experience in data analytics post graduation.
+ Experience with using Google Workspace (e.g., Gmail, Chrome, Docs, Sheets, etc.) or similar applications.
+ Ability to communicate in English fluently, to understand and execute instructions and learn via training documentations and presentations.
**Preferred qualifications:**
+ Understanding of SQL programming.
+ Knowledge of data analysis or interest in working with numbers and patterns.
+ Ability to navigate ambiguous tasks, find suitable solutions, and seek help/advice where appropriate.
+ Ability to work independently and within a team framework.
+ Excellent problem solving and critical thinking skills.
The Google Data Analytics Apprenticeship is a learning and development program for 24 months, Apprentices are expected to join in person at their assigned in-office and participate full-time (~40 hours, weekly) throughout the program. The program includes work experience with a Google team supported by external training to empower those looking to start a career in Data Analytics. You will spend 20% of your time studying in a tailored training program and the rest of the time on projects with assigned Google teams to gain experience.
Selected applicants will be matched to a team and will need to colocate, teams could be in Hyderabad, Gurugram, Mumbai or Bengaluru. Relocation assistance is provided for those who move +100km to their matched office location.
Apprenticeships are not a full-time permanent opportunity, the program is 24 months in duration. While the program is open to those who are interested in Data Analytics careers, recent graduates and individuals with work experience in other industries may apply.
At Google, we don't just accept differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community.
Apprenticeships contribute towards the development of digital skills by providing opportunities for work and study. They can serve as part of your journey to a meaningful career. During the program, apprentices get exposure to different areas and teams at Google, while receiving external training and developing their professional skills on the job.
**Responsibilities:**
+ Assess data accurately and identify anomalies, create documents for knowledge sharing, and conduct custom analysis to uncover industry insights for Google's customers.
+ Solve real life problems while developing and learning from working leaders. Use data to quantify the business impact of Google media recommendations.
+ Gain an understanding of the data lifecycle and how this translates to different business units solving issues with data. Gain practice with a range of tools and techniques, distilling down data for actionable takeaways and making recommendations across different business groups.
+ Develop knowledge of essential data analysis skills and use spreadsheets and programming languages to organize and analyze data.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
This role is not eligible for immigration sponsorship.
ELIGIBILITY CRITERIA:
+ Applicants should not have been enrolled in any prior Government Apprenticeship programs.
+ Applicants must have their Aadhaar number linked to their active mobile number and have a personal email ID. This is a mandatory requirement for registration and verification.
PLEASE NOTE:
Apprentices are expected to complete the tenure of the respective program track to receive the certificate of completion in accordance with the program guidelines. This timeline ensures you get the full value of the program and are best prepared for future opportunities. Apprentices may apply for full-time employee (FTE) roles at Google only when they reach the final three months of the apprenticeship program.
This is a hybrid role, which requires regular in-person work at a Google office. Relocation is not supported during the apprenticeship. We are looking for candidates who are committed to successfully completing the entire program in a hybrid capacity.
The whole process will spread across 18 to 20 weeks, kindly be patient during the same.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ Less than 1 year of experience in data analytics post graduation.
+ Experience with using Google Workspace (e.g., Gmail, Chrome, Docs, Sheets, etc.) or similar applications.
+ Ability to communicate in English fluently, to understand and execute instructions and learn via training documentations and presentations.
**Preferred qualifications:**
+ Understanding of SQL programming.
+ Knowledge of data analysis or interest in working with numbers and patterns.
+ Ability to navigate ambiguous tasks, find suitable solutions, and seek help/advice where appropriate.
+ Ability to work independently and within a team framework.
+ Excellent problem solving and critical thinking skills.
The Google Data Analytics Apprenticeship is a learning and development program for 24 months, Apprentices are expected to join in person at their assigned in-office and participate full-time (~40 hours, weekly) throughout the program. The program includes work experience with a Google team supported by external training to empower those looking to start a career in Data Analytics. You will spend 20% of your time studying in a tailored training program and the rest of the time on projects with assigned Google teams to gain experience.
Selected applicants will be matched to a team and will need to colocate, teams could be in Hyderabad, Gurugram, Mumbai or Bengaluru. Relocation assistance is provided for those who move +100km to their matched office location.
Apprenticeships are not a full-time permanent opportunity, the program is 24 months in duration. While the program is open to those who are interested in Data Analytics careers, recent graduates and individuals with work experience in other industries may apply.
At Google, we don't just accept differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community.
Apprenticeships contribute towards the development of digital skills by providing opportunities for work and study. They can serve as part of your journey to a meaningful career. During the program, apprentices get exposure to different areas and teams at Google, while receiving external training and developing their professional skills on the job.
**Responsibilities:**
+ Assess data accurately and identify anomalies, create documents for knowledge sharing, and conduct custom analysis to uncover industry insights for Google's customers.
+ Solve real life problems while developing and learning from working leaders. Use data to quantify the business impact of Google media recommendations.
+ Gain an understanding of the data lifecycle and how this translates to different business units solving issues with data. Gain practice with a range of tools and techniques, distilling down data for actionable takeaways and making recommendations across different business groups.
+ Develop knowledge of essential data analysis skills and use spreadsheets and programming languages to organize and analyze data.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
This advertiser has chosen not to accept applicants from your region.
1
Data Analytics Apprenticeship, March 2026 Start (English)
Gurugram, Uttar Pradesh
Google
Posted today
Job Viewed
Job Description
Please complete your application before **September 14, 2025** .
This role is not eligible for immigration sponsorship.
ELIGIBILITY CRITERIA:
+ Applicants should not have been enrolled in any prior Government Apprenticeship programs.
+ Applicants must have their Aadhaar number linked to their active mobile number and have a personal email ID. This is a mandatory requirement for registration and verification.
PLEASE NOTE:
Apprentices are expected to complete the tenure of the respective program track to receive the certificate of completion in accordance with the program guidelines. This timeline ensures you get the full value of the program and are best prepared for future opportunities. Apprentices may apply for full-time employee (FTE) roles at Google only when they reach the final three months of the apprenticeship program.
This is a hybrid role, which requires regular in-person work at a Google office. Relocation is not supported during the apprenticeship. We are looking for candidates who are committed to successfully completing the entire program in a hybrid capacity.
The whole process will spread across 18 to 20 weeks, kindly be patient during the same.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ Less than 1 year of experience in data analytics post graduation.
+ Experience with using Google Workspace (e.g., Gmail, Chrome, Docs, Sheets, etc.) or similar applications.
+ Ability to communicate in English fluently, to understand and execute instructions and learn via training documentations and presentations.
**Preferred qualifications:**
+ Understanding of SQL programming.
+ Knowledge of data analysis or interest in working with numbers and patterns.
+ Ability to navigate ambiguous tasks, find suitable solutions, and seek help/advice where appropriate.
+ Ability to work independently and within a team framework.
+ Excellent problem solving and critical thinking skills.
The Google Data Analytics Apprenticeship is a learning and development program for 24 months, Apprentices are expected to join in person at their assigned in-office and participate full-time (~40 hours, weekly) throughout the program. The program includes work experience with a Google team supported by external training to empower those looking to start a career in Data Analytics. You will spend 20% of your time studying in a tailored training program and the rest of the time on projects with assigned Google teams to gain experience.
Selected applicants will be matched to a team and will need to colocate, teams could be in Hyderabad, Gurugram, Mumbai or Bengaluru. Relocation assistance is provided for those who move +100km to their matched office location.
Apprenticeships are not a full-time permanent opportunity, the program is 24 months in duration. While the program is open to those who are interested in Data Analytics careers, recent graduates and individuals with work experience in other industries may apply.
At Google, we don't just accept differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community.
Apprenticeships contribute towards the development of digital skills by providing opportunities for work and study. They can serve as part of your journey to a meaningful career. During the program, apprentices get exposure to different areas and teams at Google, while receiving external training and developing their professional skills on the job.
**Responsibilities:**
+ Assess data accurately and identify anomalies, create documents for knowledge sharing, and conduct custom analysis to uncover industry insights for Google's customers.
+ Solve real life problems while developing and learning from working leaders. Use data to quantify the business impact of Google media recommendations.
+ Gain an understanding of the data lifecycle and how this translates to different business units solving issues with data. Gain practice with a range of tools and techniques, distilling down data for actionable takeaways and making recommendations across different business groups.
+ Develop knowledge of essential data analysis skills and use spreadsheets and programming languages to organize and analyze data.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
This role is not eligible for immigration sponsorship.
ELIGIBILITY CRITERIA:
+ Applicants should not have been enrolled in any prior Government Apprenticeship programs.
+ Applicants must have their Aadhaar number linked to their active mobile number and have a personal email ID. This is a mandatory requirement for registration and verification.
PLEASE NOTE:
Apprentices are expected to complete the tenure of the respective program track to receive the certificate of completion in accordance with the program guidelines. This timeline ensures you get the full value of the program and are best prepared for future opportunities. Apprentices may apply for full-time employee (FTE) roles at Google only when they reach the final three months of the apprenticeship program.
This is a hybrid role, which requires regular in-person work at a Google office. Relocation is not supported during the apprenticeship. We are looking for candidates who are committed to successfully completing the entire program in a hybrid capacity.
The whole process will spread across 18 to 20 weeks, kindly be patient during the same.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ Less than 1 year of experience in data analytics post graduation.
+ Experience with using Google Workspace (e.g., Gmail, Chrome, Docs, Sheets, etc.) or similar applications.
+ Ability to communicate in English fluently, to understand and execute instructions and learn via training documentations and presentations.
**Preferred qualifications:**
+ Understanding of SQL programming.
+ Knowledge of data analysis or interest in working with numbers and patterns.
+ Ability to navigate ambiguous tasks, find suitable solutions, and seek help/advice where appropriate.
+ Ability to work independently and within a team framework.
+ Excellent problem solving and critical thinking skills.
The Google Data Analytics Apprenticeship is a learning and development program for 24 months, Apprentices are expected to join in person at their assigned in-office and participate full-time (~40 hours, weekly) throughout the program. The program includes work experience with a Google team supported by external training to empower those looking to start a career in Data Analytics. You will spend 20% of your time studying in a tailored training program and the rest of the time on projects with assigned Google teams to gain experience.
Selected applicants will be matched to a team and will need to colocate, teams could be in Hyderabad, Gurugram, Mumbai or Bengaluru. Relocation assistance is provided for those who move +100km to their matched office location.
Apprenticeships are not a full-time permanent opportunity, the program is 24 months in duration. While the program is open to those who are interested in Data Analytics careers, recent graduates and individuals with work experience in other industries may apply.
At Google, we don't just accept differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community.
Apprenticeships contribute towards the development of digital skills by providing opportunities for work and study. They can serve as part of your journey to a meaningful career. During the program, apprentices get exposure to different areas and teams at Google, while receiving external training and developing their professional skills on the job.
**Responsibilities:**
+ Assess data accurately and identify anomalies, create documents for knowledge sharing, and conduct custom analysis to uncover industry insights for Google's customers.
+ Solve real life problems while developing and learning from working leaders. Use data to quantify the business impact of Google media recommendations.
+ Gain an understanding of the data lifecycle and how this translates to different business units solving issues with data. Gain practice with a range of tools and techniques, distilling down data for actionable takeaways and making recommendations across different business groups.
+ Develop knowledge of essential data analysis skills and use spreadsheets and programming languages to organize and analyze data.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
This advertiser has chosen not to accept applicants from your region.
2
Data Analytics Apprenticeship, March 2026 Start (English)
Bengaluru, Karnataka
Google
Posted today
Job Viewed
Job Description
Please complete your application before **September 14, 2025** .
This role is not eligible for immigration sponsorship.
ELIGIBILITY CRITERIA:
+ Applicants should not have been enrolled in any prior Government Apprenticeship programs.
+ Applicants must have their Aadhaar number linked to their active mobile number and have a personal email ID. This is a mandatory requirement for registration and verification.
PLEASE NOTE:
Apprentices are expected to complete the tenure of the respective program track to receive the certificate of completion in accordance with the program guidelines. This timeline ensures you get the full value of the program and are best prepared for future opportunities. Apprentices may apply for full-time employee (FTE) roles at Google only when they reach the final three months of the apprenticeship program.
This is a hybrid role, which requires regular in-person work at a Google office. Relocation is not supported during the apprenticeship. We are looking for candidates who are committed to successfully completing the entire program in a hybrid capacity.
The whole process will spread across 18 to 20 weeks, kindly be patient during the same.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ Less than 1 year of experience in data analytics post graduation.
+ Experience with using Google Workspace (e.g., Gmail, Chrome, Docs, Sheets, etc.) or similar applications.
+ Ability to communicate in English fluently, to understand and execute instructions and learn via training documentations and presentations.
**Preferred qualifications:**
+ Understanding of SQL programming.
+ Knowledge of data analysis or interest in working with numbers and patterns.
+ Ability to navigate ambiguous tasks, find suitable solutions, and seek help/advice where appropriate.
+ Ability to work independently and within a team framework.
+ Excellent problem solving and critical thinking skills.
The Google Data Analytics Apprenticeship is a learning and development program for 24 months, Apprentices are expected to join in person at their assigned in-office and participate full-time (~40 hours, weekly) throughout the program. The program includes work experience with a Google team supported by external training to empower those looking to start a career in Data Analytics. You will spend 20% of your time studying in a tailored training program and the rest of the time on projects with assigned Google teams to gain experience.
Selected applicants will be matched to a team and will need to colocate, teams could be in Hyderabad, Gurugram, Mumbai or Bengaluru. Relocation assistance is provided for those who move +100km to their matched office location.
Apprenticeships are not a full-time permanent opportunity, the program is 24 months in duration. While the program is open to those who are interested in Data Analytics careers, recent graduates and individuals with work experience in other industries may apply.
At Google, we don't just accept differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community.
Apprenticeships contribute towards the development of digital skills by providing opportunities for work and study. They can serve as part of your journey to a meaningful career. During the program, apprentices get exposure to different areas and teams at Google, while receiving external training and developing their professional skills on the job.
**Responsibilities:**
+ Assess data accurately and identify anomalies, create documents for knowledge sharing, and conduct custom analysis to uncover industry insights for Google's customers.
+ Solve real life problems while developing and learning from working leaders. Use data to quantify the business impact of Google media recommendations.
+ Gain an understanding of the data lifecycle and how this translates to different business units solving issues with data. Gain practice with a range of tools and techniques, distilling down data for actionable takeaways and making recommendations across different business groups.
+ Develop knowledge of essential data analysis skills and use spreadsheets and programming languages to organize and analyze data.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
This role is not eligible for immigration sponsorship.
ELIGIBILITY CRITERIA:
+ Applicants should not have been enrolled in any prior Government Apprenticeship programs.
+ Applicants must have their Aadhaar number linked to their active mobile number and have a personal email ID. This is a mandatory requirement for registration and verification.
PLEASE NOTE:
Apprentices are expected to complete the tenure of the respective program track to receive the certificate of completion in accordance with the program guidelines. This timeline ensures you get the full value of the program and are best prepared for future opportunities. Apprentices may apply for full-time employee (FTE) roles at Google only when they reach the final three months of the apprenticeship program.
This is a hybrid role, which requires regular in-person work at a Google office. Relocation is not supported during the apprenticeship. We are looking for candidates who are committed to successfully completing the entire program in a hybrid capacity.
The whole process will spread across 18 to 20 weeks, kindly be patient during the same.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ Less than 1 year of experience in data analytics post graduation.
+ Experience with using Google Workspace (e.g., Gmail, Chrome, Docs, Sheets, etc.) or similar applications.
+ Ability to communicate in English fluently, to understand and execute instructions and learn via training documentations and presentations.
**Preferred qualifications:**
+ Understanding of SQL programming.
+ Knowledge of data analysis or interest in working with numbers and patterns.
+ Ability to navigate ambiguous tasks, find suitable solutions, and seek help/advice where appropriate.
+ Ability to work independently and within a team framework.
+ Excellent problem solving and critical thinking skills.
The Google Data Analytics Apprenticeship is a learning and development program for 24 months, Apprentices are expected to join in person at their assigned in-office and participate full-time (~40 hours, weekly) throughout the program. The program includes work experience with a Google team supported by external training to empower those looking to start a career in Data Analytics. You will spend 20% of your time studying in a tailored training program and the rest of the time on projects with assigned Google teams to gain experience.
Selected applicants will be matched to a team and will need to colocate, teams could be in Hyderabad, Gurugram, Mumbai or Bengaluru. Relocation assistance is provided for those who move +100km to their matched office location.
Apprenticeships are not a full-time permanent opportunity, the program is 24 months in duration. While the program is open to those who are interested in Data Analytics careers, recent graduates and individuals with work experience in other industries may apply.
At Google, we don't just accept differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community.
Apprenticeships contribute towards the development of digital skills by providing opportunities for work and study. They can serve as part of your journey to a meaningful career. During the program, apprentices get exposure to different areas and teams at Google, while receiving external training and developing their professional skills on the job.
**Responsibilities:**
+ Assess data accurately and identify anomalies, create documents for knowledge sharing, and conduct custom analysis to uncover industry insights for Google's customers.
+ Solve real life problems while developing and learning from working leaders. Use data to quantify the business impact of Google media recommendations.
+ Gain an understanding of the data lifecycle and how this translates to different business units solving issues with data. Gain practice with a range of tools and techniques, distilling down data for actionable takeaways and making recommendations across different business groups.
+ Develop knowledge of essential data analysis skills and use spreadsheets and programming languages to organize and analyze data.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
This advertiser has chosen not to accept applicants from your region.
3
Advisor, Statistical Analysis
Bengaluru, Karnataka
Fiserv
Posted 7 days ago
Job Viewed
Job Description
**Calling all innovators - find your future at Fiserv.**
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Advisor, Statistical Analysis
Job Posting Title: Tech Lead, Statistical Analysis
What does a successful Tech Lead, Statistical Analysis do at Fiserv?
Fiserv is looking for a talented analytical advisor who plays a crucial role in helping clients make informed decisions based on data-driven insights. Fiserv offers a range of solutions for financial institutions, businesses, and merchants, analytics advisors contribute to the success of these solutions by providing expert guidance on utilizing data effectively. Using product knowledge, subject matter expertise and technical skills, he will provide the highest level of service to resolve the client/customer's issues.
What you will do:
+ Create comprehensive strategies to proactively identify and mitigate potential challenges and opportunities. Collaborate with cross-functional teams to ensure alignment with company objectives.
+ Oversee and analyze large datasets to identify patterns, trends, and anomalies. Utilize statistical modeling, machine learning algorithms, and data visualization tools to gain actionable insights and drive data-driven decision-making.
+ Evaluate and optimize systems and technologies. Implement improvements to enhance the accuracy and efficiency of data analysis.
+ Develop and maintain regular reports on key metrics, trends, and insights. Present findings to stakeholders, recommending appropriate actions based on analysis.
+ Stay abreast of the latest trends, tools, and technologies in your field. Identify opportunities to enhance existing processes and methodologies, driving continuous improvement within the team.
+ Ensure Compliance and Best Practices: Ensure that all activities align with industry regulations and company policies. Collaborate with relevant teams to address any potential issues.
What you will need to have:
+ Bachelor's or master's degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.
+ Proven experience (typically 8-10 years) in analytics.
+ Strong analytical skills with expertise in data manipulation, statistical analysis, and machine learning techniques.
+ Proficiency in programming languages such as Python, R, or SQL.
+ Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights to stakeholders.
+ Excellent leadership and communication skills, with the ability to inspire and motivate a team.
What would be great to have:
+ Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, Py-Torch, scikit-learn).
+ Solid understanding of hypothesis testing, and validation methodologies.
+ Experience with data manipulation, feature engineering, and data preprocessing techniques.
+ Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
+ Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Advisor, Statistical Analysis
Job Posting Title: Tech Lead, Statistical Analysis
What does a successful Tech Lead, Statistical Analysis do at Fiserv?
Fiserv is looking for a talented analytical advisor who plays a crucial role in helping clients make informed decisions based on data-driven insights. Fiserv offers a range of solutions for financial institutions, businesses, and merchants, analytics advisors contribute to the success of these solutions by providing expert guidance on utilizing data effectively. Using product knowledge, subject matter expertise and technical skills, he will provide the highest level of service to resolve the client/customer's issues.
What you will do:
+ Create comprehensive strategies to proactively identify and mitigate potential challenges and opportunities. Collaborate with cross-functional teams to ensure alignment with company objectives.
+ Oversee and analyze large datasets to identify patterns, trends, and anomalies. Utilize statistical modeling, machine learning algorithms, and data visualization tools to gain actionable insights and drive data-driven decision-making.
+ Evaluate and optimize systems and technologies. Implement improvements to enhance the accuracy and efficiency of data analysis.
+ Develop and maintain regular reports on key metrics, trends, and insights. Present findings to stakeholders, recommending appropriate actions based on analysis.
+ Stay abreast of the latest trends, tools, and technologies in your field. Identify opportunities to enhance existing processes and methodologies, driving continuous improvement within the team.
+ Ensure Compliance and Best Practices: Ensure that all activities align with industry regulations and company policies. Collaborate with relevant teams to address any potential issues.
What you will need to have:
+ Bachelor's or master's degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.
+ Proven experience (typically 8-10 years) in analytics.
+ Strong analytical skills with expertise in data manipulation, statistical analysis, and machine learning techniques.
+ Proficiency in programming languages such as Python, R, or SQL.
+ Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights to stakeholders.
+ Excellent leadership and communication skills, with the ability to inspire and motivate a team.
What would be great to have:
+ Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, Py-Torch, scikit-learn).
+ Solid understanding of hypothesis testing, and validation methodologies.
+ Experience with data manipulation, feature engineering, and data preprocessing techniques.
+ Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
+ Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
This advertiser has chosen not to accept applicants from your region.
4
Specialist, Statistical Analysis
Bengaluru, Karnataka
Fiserv
Posted 7 days ago
Job Viewed
Job Description
**Calling all innovators - find your future at Fiserv.**
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Specialist, Statistical Analysis
**What does a successful Specialist, Statistical Analysis do at Fiserv?**
Fiserv is looking for a talented specialist who plays a crucial role in an organization by leveraging their skills and expertise to extract valuable insights from data, enabling data-driven decision-making and contributing to the organization's success. Using product knowledge, subject matter expertise and technical skills, you will provide the highest level of service to resolve the client/customer's issues.
**What you will do:**
+ Drive new business engagements with clients and grow existing client engagements.
+ Liaison with the client to understand business problem, processes, and implementation challenge.
+ Leverage data to analyze the business unit function, identify the business drivers and recommend strategy and future course of actions.
+ Manage end to end delivery including requirement gathering, solution design and business recommendation. Work closely with statisticians to develop solution framework - Identify statistical techniques, implementation mechanism, tracking campaigns and pilots.
+ Conceptualize modeling framework, define data requirement, create predictive variables and co-ordinate model implementation with other business partners, and create experimental designs to understand drivers of business performance.
+ Should have domain expertise in the banking and risk domain to shape the solution framework and developing business strategies to drive incremental value to the business.
+ Should have expertise in advanced statistical techniques to validate the model outcomes generated by the statisticians and align it with the business needs and implementation plan.
+ Develop analytics proof of concepts on emerging trends in banking areas to develop new analytical products for Fiserv.
+ Collaborate with the model development team to provide feedback and recommendations for model improvements based on validation results.
+ Communicate validation findings and recommendations to stakeholders in a clear and concise manner, both verbally and through written reports or presentations.
**What you will need to have:**
+ Bachelor's degree in Statistics/mathematics or equivalent qualification.
+ 5-8 years of experience in solving business problems by applying advanced statistics.
+ Expertise in developing business presentations.
+ Strong analytical and problem-solving skills.
+ Excellent communication skills, both verbal and written.
**What would be great to have:**
+ Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
+ Solid understanding hypothesis testing, and validation methodologies.
+ Experience with data manipulation, feature engineering, and data preprocessing techniques.
+ Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
+ Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Specialist, Statistical Analysis
**What does a successful Specialist, Statistical Analysis do at Fiserv?**
Fiserv is looking for a talented specialist who plays a crucial role in an organization by leveraging their skills and expertise to extract valuable insights from data, enabling data-driven decision-making and contributing to the organization's success. Using product knowledge, subject matter expertise and technical skills, you will provide the highest level of service to resolve the client/customer's issues.
**What you will do:**
+ Drive new business engagements with clients and grow existing client engagements.
+ Liaison with the client to understand business problem, processes, and implementation challenge.
+ Leverage data to analyze the business unit function, identify the business drivers and recommend strategy and future course of actions.
+ Manage end to end delivery including requirement gathering, solution design and business recommendation. Work closely with statisticians to develop solution framework - Identify statistical techniques, implementation mechanism, tracking campaigns and pilots.
+ Conceptualize modeling framework, define data requirement, create predictive variables and co-ordinate model implementation with other business partners, and create experimental designs to understand drivers of business performance.
+ Should have domain expertise in the banking and risk domain to shape the solution framework and developing business strategies to drive incremental value to the business.
+ Should have expertise in advanced statistical techniques to validate the model outcomes generated by the statisticians and align it with the business needs and implementation plan.
+ Develop analytics proof of concepts on emerging trends in banking areas to develop new analytical products for Fiserv.
+ Collaborate with the model development team to provide feedback and recommendations for model improvements based on validation results.
+ Communicate validation findings and recommendations to stakeholders in a clear and concise manner, both verbally and through written reports or presentations.
**What you will need to have:**
+ Bachelor's degree in Statistics/mathematics or equivalent qualification.
+ 5-8 years of experience in solving business problems by applying advanced statistics.
+ Expertise in developing business presentations.
+ Strong analytical and problem-solving skills.
+ Excellent communication skills, both verbal and written.
**What would be great to have:**
+ Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
+ Solid understanding hypothesis testing, and validation methodologies.
+ Experience with data manipulation, feature engineering, and data preprocessing techniques.
+ Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
+ Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
This advertiser has chosen not to accept applicants from your region.
5
Advisor, Statistical Analysis
Bengaluru, Karnataka
Fiserv
Posted today
Job Viewed
Job Description
You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv.
Responsibilities
Requisition ID R-10353347 Date posted 08/19/2025 End Date 09/01/2025 City Bengaluru State/Region Karnataka Country India Location Type OnsiteCalling all innovators – find your future at Fiserv.
We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Advisor, Statistical AnalysisJob Posting Title: Tech Lead, Statistical Analysis
What does a successful Tech Lead, Statistical Analysis do at Fiserv?
Fiserv is looking for a talented analytical advisor who plays a crucial role in helping clients make informed decisions based on data-driven insights. Fiserv offers a range of solutions for financial institutions, businesses, and merchants, analytics advisors contribute to the success of these solutions by providing expert guidance on utilizing data effectively. Using product knowledge, subject matter expertise and technical skills, he will provide the highest level of service to resolve the client/customer's issues.
What you will do:
What you will need to have:
What would be great to have:
Our commitment to Diversity and Inclusion:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Data analytics apprenticeship march 2026 start english Jobs in India !
6
Specialist, Statistical Analysis
Bengaluru, Karnataka
Fiserv
Posted today
Job Viewed
Job Description
You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv.
Responsibilities
Requisition ID R-10353492 Date posted 08/19/2025 End Date 09/01/2025 City Bengaluru State/Region Karnataka Country India Location Type OnsiteCalling all innovators – find your future at Fiserv.
We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Specialist, Statistical AnalysisWhat does a successful Specialist, Statistical Analysis do at Fiserv?
Fiserv is looking for a talented specialist who plays a crucial role in an organization by leveraging their skills and expertise to extract valuable insights from data, enabling data-driven decision-making and contributing to the organization's success. Using product knowledge, subject matter expertise and technical skills, you will provide the highest level of service to resolve the client/customer's issues.
What you will do:
What you will need to have:
What would be great to have:
Our commitment to Diversity and Inclusion:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
This advertiser has chosen not to accept applicants from your region.
7
Data Mining
Ahmedabad, Gujarat
Trustmark Solution
Posted today
Job Viewed
Job Description
**Job Title**: Data Mining Specialist
**Experience**: 6 Months to 1 Year
**Location**: Thaltej, Ahmedabad
**Job Type**: Full-time, Work from Office
**Key Responsibilities**:
- Extract and preprocess large datasets from various sources.
- Use data mining techniques to discover patterns and relationships in data.
- Perform data analysis and interpretation to identify trends and insights.
- Collaborate with data scientists and analysts to build predictive models.
- Create visualizations and reports to communicate findings to stakeholders.
- Maintain and optimize existing data mining processes and tools.
- Stay updated on the latest data mining techniques, tools, and technologies.
**Qualifications**:
- Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
- 6 months to 1 year of experience in data mining or a related role.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with data mining tools and libraries.
- Strong analytical and problem-solving skills.
- Ability to work with large datasets and draw meaningful conclusions.
- Good communication skills and the ability to work effectively in a team.
- Basic understanding of machine learning algorithms is a plus.
**Additional Information**:
- This is a full-time, in-office position located in Thaltej, Ahmedabad.
We look forward to uncovering valuable insights with your expertise!
**Experience**:
- total work: 1 year (preferred)
Work Location: In person
**Experience**: 6 Months to 1 Year
**Location**: Thaltej, Ahmedabad
**Job Type**: Full-time, Work from Office
**Key Responsibilities**:
- Extract and preprocess large datasets from various sources.
- Use data mining techniques to discover patterns and relationships in data.
- Perform data analysis and interpretation to identify trends and insights.
- Collaborate with data scientists and analysts to build predictive models.
- Create visualizations and reports to communicate findings to stakeholders.
- Maintain and optimize existing data mining processes and tools.
- Stay updated on the latest data mining techniques, tools, and technologies.
**Qualifications**:
- Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
- 6 months to 1 year of experience in data mining or a related role.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with data mining tools and libraries.
- Strong analytical and problem-solving skills.
- Ability to work with large datasets and draw meaningful conclusions.
- Good communication skills and the ability to work effectively in a team.
- Basic understanding of machine learning algorithms is a plus.
**Additional Information**:
- This is a full-time, in-office position located in Thaltej, Ahmedabad.
We look forward to uncovering valuable insights with your expertise!
**Experience**:
- total work: 1 year (preferred)
Work Location: In person
This advertiser has chosen not to accept applicants from your region.
8
Data Mining Analyst
Bengaluru, Karnataka
Anicalls (Pty) Ltd
Posted today
Job Viewed
Job Description
Candidate should be able to:
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
This advertiser has chosen not to accept applicants from your region.
9