India presents extensive opportunities in data analytics, reflecting the country's growing tech sector. Job roles span across data science, 1,891 Data Analytics jobs in India
Data Analytics
Chennai, Tamil Nadu
Skill Ventory
Posted today
Job Viewed
Job Description
Roles and Responsibilities
Hiring for a Leading Private Sector BankResponsibilities :-
This advertiser has chosen not to accept applicants from your region.
0
Data Analytics
New Delhi, Delhi
Talent Worx
Posted today
Job Viewed
Job Description
Job Summary:
We are seeking a highly motivated and detail-oriented Data Analyst with 3 to 6 years of experience in data analytics and business intelligence. The ideal candidate will possess strong analytical capabilities, hands-on experience with large data sets, proficiency in SQL and Python, and expertise in data visualization tools such as Power BI and Tableau. This role demands strong statistical acumen, familiarity with research methodologies, and the ability to derive actionable insights through both quantitative and qualitative analysis.
Requirements
Key Responsibilities:
Extract, clean, and analyze large datasets using SQL, Python, and other analytics tools.
Design and develop dashboards, reports, and data visualizations using Power BI and Tableau to support strategic decision-making.
Conduct exploratory data analysis, statistical modeling, and root cause investigations to identify trends, patterns, and business insights.
Collaborate with cross-functional teams to gather requirements, understand data needs, and deliver analytical solutions.
Apply basic statistical techniques and use tools such as R, T/Stata, or equivalent to support business and research initiatives.
Prepare and present findings and recommendations to stakeholders using MS PowerPoint and other communication tools.
Document analytical methodologies, data workflows, and project outcomes in a structured and comprehensible format.
Required Skills and Qualifications:
Bachelor’s degree in computer science, Information Technology, Mathematics, Statistics, Economics, or a related field (B.Tech/B.E. or B.Sc./BA).
Postgraduate qualifications in relevant fields will be an added advantage.
3 to <6 years of experience in data analytics or a related discipline.
High-level proficiency in:
SQL and similar tools for querying and handling large datasets.
Python or equivalent programming language for data manipulation and automation.
Business Intelligence tools such as Power BI and Tableau.
MS Office tools including Excel (advanced), Word, and PowerPoint.
Basic statistics and research tools (R, T/Stata, etc.).
Strong problem-solving abilities with a solid understanding of both qualitative and quantitative analytics.
Ability to manage multiple projects simultaneously and communicate effectively with both technical and non-technical stakeholders.
Benefits
We’re hiring for one of the world’s leading professional services organizations — part of the prestigious “Big 4” — known for setting global standards in consulting, advisory, audit, risk, tax, and technology services.
This firm works with some of the biggest brands and governments worldwide, helping them solve complex challenges, drive innovation, and build sustainable futures.
If you’re passionate about working in a fast-paced environment, love solving problems, and are excited about learning from the best minds in the industry, this is your opportunity.
Join a culture that values collaboration, continuous growth, diversity, and making a real-world impact across industries.
This advertiser has chosen not to accept applicants from your region.
1
Data Analytics
Infochola
Posted today
Job Viewed
Job Description
**Job Summary**:
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
This advertiser has chosen not to accept applicants from your region.
2
Data Analytics
Infochola
Posted today
Job Viewed
Job Description
**Job Summary**:
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
This advertiser has chosen not to accept applicants from your region.
3
Data Analytics
Infochola
Posted today
Job Viewed
Job Description
**Job Summary**:
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
This advertiser has chosen not to accept applicants from your region.
4
Data Analytics
Infochola
Posted today
Job Viewed
Job Description
**Job Summary**:
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
This advertiser has chosen not to accept applicants from your region.
5
Data Analytics
Infochola
Posted today
Job Viewed
Job Description
**Job Summary**:
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
This advertiser has chosen not to accept applicants from your region.
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6
Data Analytics
Infochola
Posted today
Job Viewed
Job Description
**Job Summary**:
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
This advertiser has chosen not to accept applicants from your region.
7