India presents numerous opportunities for data analysts across diverse sectors. Roles involve collecting, processing, and interpreting large datasets to extract actionable insights. These professionals utilize statistical methods and analytical tools to identify trends, patterns, and anomalies, assisting organizations in making data-driven decisions and developing strategies.8,707 Data Analysts jobs in India
Senior Data Analysts
Posted 4 days ago
Job Viewed
Job Description
Location: Hyderabad, IN - Work from Office
Experience: 7+ Years
**Role Summary**
We are seeking an experienced and highly skilled Senior Data Analyst to join our team. The ideal candidate will possess a deep proficiency in SQL, a strong understanding of data architecture, and a working knowledge of the Google Cloud platform (GCP)based ecosystem. They will be responsible for turning complex business questions into actionable insights, driving strategic decisions, and helping shape the future of our Product/Operations team. This role requires a blend of technical expertise, analytical rigor, and excellent communication skills to partner effectively with engineering, product, and business leaders.
**Key Responsibilities**
+ **Advanced Data Analysis:** Utilize advanced SQL skills to query, analyze, and manipulate large, complex datasets. Develop and maintain robust, scalable dashboards and reports to monitor key performance indicators (KPIs).
+ **Source Code management** : Proven ability to effectively manage, version, and collaborate on code using codebase management systems like GitHub. Responsible for upholding data integrity, producing reproducible analyses, and fostering a collaborative database management environment through best practices in version control and code documentation.
+ **Strategic Insights:** Partner with product managers and business stakeholders to define and answer critical business questions. Conduct deep-dive analyses to identify trends, opportunities, and root causes of performance changes.
+ **Data Architecture & Management:** Work closely with data engineers to design, maintain, and optimize data schemas and pipelines. Provide guidance on data modeling best practices and ensure data integrity and quality.
+ **Reporting & Communication:** Translate complex data findings into clear, concise, and compelling narratives for both technical and non-technical audiences. Present insights and recommendations to senior leadership to influence strategic decision-making.
+ **Project Leadership:** Lead analytical projects from end to end, including defining project scope, methodology, and deliverables. Mentor junior analysts, fostering a culture of curiosity and data-driven problem-solving.
**Required Skills & Experience**
+ Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
+ 5+ years of professional experience in a data analysis or business intelligence role.
+ **Expert-level proficiency in SQL** with a proven ability to write complex queries, perform window functions, and optimize queries for performance on massive datasets.
+ **Strong understanding of data architecture,** including data warehousing, data modeling (e.g., star/snowflake schemas), and ETL/ELT principles.
+ Excellent communication and interpersonal skills, with a track record of successfully influencing stakeholders.
+ Experience with a business intelligence tool such as **Tableau, Looker, or Power BI** to create dashboards and visualizations.
+ Experience with internal Google/Alphabet data tools and infrastructure, such as **BigQuery, Dremel, or Google-internal data portals.**
+ Experience with statistical analysis, A/B testing, and experimental design.
+ Familiarity with machine learning concepts and their application in a business context.
+ A strong sense of curiosity and a passion for finding and communicating insights from data.
+ Proficiency with scripting languages for data analysis (e.g., **App scripting** , **Python or R** ) would be an added advantage
**Responsibilities**
+ Lead a team of data scientists and analysts to deliver data-driven insights and solutions.
+ Oversee the development and implementation of data models and algorithms to support new product development.
+ Provide strategic direction for data science projects ensuring alignment with business goals.
+ Collaborate with cross-functional teams to integrate data science solutions into business processes.
+ Analyze complex datasets to identify trends and patterns that inform business decisions.
+ Utilize generative AI techniques to develop innovative solutions for product development.
+ Ensure adherence to ITIL V4 practices in all data science projects.
+ Develop and maintain documentation for data science processes and methodologies.
+ Mentor and guide team members to enhance their technical and analytical skills.
+ Monitor project progress and adjust strategies to meet deadlines and objectives.
+ Communicate findings and recommendations to stakeholders in a clear and concise manner.
+ Drive continuous improvement in data science practices and methodologies.
+ Foster a culture of innovation and collaboration within the data science team.
**Qualifications**
+ Possess strong experience in business analysis and data analysis.
+ Demonstrate expertise in generative AI and its applications in product development.
+ Have a solid understanding of ITIL V4 practices and their implementation.
+ Exhibit excellent communication and collaboration skills.
+ Show proficiency in managing and leading a team of data professionals.
+ Display a commitment to working from the office during day shifts.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Data Quality Analysts
Posted today
Job Viewed
Job Description
Data Quality Analysts
Overview
We are seeking a highly skilled Data Quality Analyst with 6 to 10 years of experience and a strong
foundation in both business and technical expertise in Investment Banking Domain. The ideal
candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and
proposing new ones. As a Data Quality Analyst, you will ensure the accuracy, consistency, and
reliability of data within the organization.
Key Responsibilities
Perform comprehensive data quality checks and propose enhancements to existing
processes
Analyze and solve complex problems related to data quality in the Investment Banking
domain
ollaborate with cross-functional teams to ensure data integrity across various systems
upport Business System Analysis, Project Management, and Quality Assurance initiatives
ork on Trade Life Cycle and Management modules, including Front, Middle, and Back-
office operations
tilize tools such as Charles River Investment Management System (CRD), SQL for data
analysis
ngage in extended testing areas, including End to End Performance Testing
onduct Data Validation and Cleansing to identify and rectify errors and inconsistencies,
ensuring high data quality
ontinuously monitor data quality metrics and trends to pinpoint areas needing
improvement
erform Data Quality Assessments and audits to evaluate data quality
ollaborate closely with data engineers, data scientists, and other stakeholders to uphold
data quality standards
aintain detailed documentation of data quality processes and standards
reate and present reports on data quality metrics and improvements to management
Required Skills
trong expertise in investment banking, capital markets - Front, Middle and Back office
operations
roficient in SQL, ETL and various data analysis tools
ell-versed in Charles River IMS (CRD) and its functionalities
xcellent analytical and problem-solving skills
xperienced in quality assurance life cycles and testing methodologies
ffective communicator, capable of engaging with both technical and non-technical
stakeholders
etail-oriented, skilled in identifying and correcting data discrepancies and errors
trong analytical skills for examining data and recognizing patterns or issues
amiliarity with Agile methodology and Atlassian tools is advantageous
echnically proficient with data management tools and software, such as SQL, Excel, and
data visualization tools
nowledge in snowflake
roblem-solving skills to devise solutions for enhancing data quality
xcellent verbal and written communication abilities for collaborating with team members
and stakeholders
elf-motivated and proactive in identifying and resolving data quality issues
trong organizational skills and attention to detail
bility to work independently and as part of a team
ager to learn and adapt to new technologies and methodologies
Data Quality Analysts
Posted today
Job Viewed
Job Description
Data Quality Analysts
Overview
We are seeking a highly skilled Data Quality Analyst with 6 to 10 years of experience and a strong
foundation in both business and technical expertise in Investment Banking Domain. The ideal
candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and
proposing new ones. As a Data Quality Analyst, you will ensure the accuracy, consistency, and
reliability of data within the organization.
Key Responsibilities
Perform comprehensive data quality checks and propose enhancements to existing
processes
Analyze and solve complex problems related to data quality in the Investment Banking
domain
ollaborate with cross-functional teams to ensure data integrity across various systems
upport Business System Analysis, Project Management, and Quality Assurance initiatives
ork on Trade Life Cycle and Management modules, including Front, Middle, and Back-
office operations
tilize tools such as Charles River Investment Management System (CRD), SQL for data
analysis
ngage in extended testing areas, including End to End Performance Testing
onduct Data Validation and Cleansing to identify and rectify errors and inconsistencies,
ensuring high data quality
ontinuously monitor data quality metrics and trends to pinpoint areas needing
improvement
erform Data Quality Assessments and audits to evaluate data quality
ollaborate closely with data engineers, data scientists, and other stakeholders to uphold
data quality standards
aintain detailed documentation of data quality processes and standards
reate and present reports on data quality metrics and improvements to management
Required Skills
trong expertise in investment banking, capital markets - Front, Middle and Back office
operations
roficient in SQL, ETL and various data analysis tools
ell-versed in Charles River IMS (CRD) and its functionalities
xcellent analytical and problem-solving skills
xperienced in quality assurance life cycles and testing methodologies
ffective communicator, capable of engaging with both technical and non-technical
stakeholders
etail-oriented, skilled in identifying and correcting data discrepancies and errors
trong analytical skills for examining data and recognizing patterns or issues
amiliarity with Agile methodology and Atlassian tools is advantageous
echnically proficient with data management tools and software, such as SQL, Excel, and
data visualization tools
nowledge in snowflake
roblem-solving skills to devise solutions for enhancing data quality
xcellent verbal and written communication abilities for collaborating with team members
and stakeholders
elf-motivated and proactive in identifying and resolving data quality issues
trong organizational skills and attention to detail
bility to work independently and as part of a team
ager to learn and adapt to new technologies and methodologies
Data Quality Analysts
Posted today
Job Viewed
Job Description
Data Quality Analysts
Overview
We are seeking a highly skilled Data Quality Analyst with 6 to 10 years of experience and a strong
foundation in both business and technical expertise in Investment Banking Domain. The ideal
candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and
proposing new ones. As a Data Quality Analyst, you will ensure the accuracy, consistency, and
reliability of data within the organization.
Key Responsibilities
Perform comprehensive data quality checks and propose enhancements to existing
processes
Analyze and solve complex problems related to data quality in the Investment Banking
domain
ollaborate with cross-functional teams to ensure data integrity across various systems
upport Business System Analysis, Project Management, and Quality Assurance initiatives
ork on Trade Life Cycle and Management modules, including Front, Middle, and Back-
office operations
tilize tools such as Charles River Investment Management System (CRD), SQL for data
analysis
ngage in extended testing areas, including End to End Performance Testing
onduct Data Validation and Cleansing to identify and rectify errors and inconsistencies,
ensuring high data quality
ontinuously monitor data quality metrics and trends to pinpoint areas needing
improvement
erform Data Quality Assessments and audits to evaluate data quality
ollaborate closely with data engineers, data scientists, and other stakeholders to uphold
data quality standards
aintain detailed documentation of data quality processes and standards
reate and present reports on data quality metrics and improvements to management
Required Skills
trong expertise in investment banking, capital markets - Front, Middle and Back office
operations
roficient in SQL, ETL and various data analysis tools
ell-versed in Charles River IMS (CRD) and its functionalities
xcellent analytical and problem-solving skills
xperienced in quality assurance life cycles and testing methodologies
ffective communicator, capable of engaging with both technical and non-technical
stakeholders
etail-oriented, skilled in identifying and correcting data discrepancies and errors
trong analytical skills for examining data and recognizing patterns or issues
amiliarity with Agile methodology and Atlassian tools is advantageous
echnically proficient with data management tools and software, such as SQL, Excel, and
data visualization tools
nowledge in snowflake
roblem-solving skills to devise solutions for enhancing data quality
xcellent verbal and written communication abilities for collaborating with team members
and stakeholders
elf-motivated and proactive in identifying and resolving data quality issues
trong organizational skills and attention to detail
bility to work independently and as part of a team
ager to learn and adapt to new technologies and methodologies
Data Quality Analysts - AM
Posted today
Job Viewed
Job Description
We are looking for skilled Data Quality Analysts to join our team as consultants. In this role, you will be responsible for ensuring the integrity, accuracy, and consistency of data used across various business functions. You will collaborate with cross-functional teams to establish data quality metrics and processes, and identify areas for improvement in our data management practices.
- Experience: 6 to 8 years
- Location: Bangalore
Requirements
Key Responsibilities:
1. Develop and implement data quality assessment processes to analyze data across various databases and systems.
2. Design and maintain data quality metrics and dashboards to track data quality performance.
3. Identify and resolve data quality issues, ensuring corrective actions are taken to prevent future occurrences.
4. Collaborate with IT and business units to define data quality standards, policies, and procedures.
5. Conduct data profiling and data validation to assess the status of data quality and recommend necessary enhancements.
6. Create and update documentation related to data quality processes, methodologies, and supported systems.
7. Train and support staff in data quality practices and tools.
8. Participate in cross-functional teams to ensure data quality requirements are integrated into systems development and implementation.
Technical Skills:
- Strong knowledge of data analysis tools and techniques (SQL, Python, R, etc.)
- Experience with data quality tools (Informatica, Talend, etc.)
- Familiarity with data visualization tools (Tableau, Power BI, etc.)
- Knowledge of database systems (SQL Server, Oracle, MySQL, etc.)
- Experience with ETL processes and data warehousing concepts.
Required Qualifications:
1. Bachelor’s degree in Computer Science, Information Technology, or a related field.
2. A minimum of 4 years of experience in data quality analysis or a related field.
3. Proven ability to analyze large datasets and synthesize complex information.
4. Strong attention to detail and problem-solving skills.
5. Excellent verbal and written communication skills.
Benefits
Work with one of the Big 4's in India
Data Quality Analysts - Consultant
Posted today
Job Viewed
Job Description
We are looking for skilled Data Quality Analysts to join our team as consultants. In this role, you will be responsible for ensuring the integrity, accuracy, and consistency of data used across various business functions. You will collaborate with cross-functional teams to establish data quality metrics and processes, and identify areas for improvement in our data management practices.
- Experience: 4 to 6 years
- Location: Bangalore
Requirements
Key Responsibilities:
1. Develop and implement data quality assessment processes to analyze data across various databases and systems.
2. Design and maintain data quality metrics and dashboards to track data quality performance.
3. Identify and resolve data quality issues, ensuring corrective actions are taken to prevent future occurrences.
4. Collaborate with IT and business units to define data quality standards, policies, and procedures.
5. Conduct data profiling and data validation to assess the status of data quality and recommend necessary enhancements.
6. Create and update documentation related to data quality processes, methodologies, and supported systems.
7. Train and support staff in data quality practices and tools.
8. Participate in cross-functional teams to ensure data quality requirements are integrated into systems development and implementation.
Technical Skills:
- Strong knowledge of data analysis tools and techniques (SQL, Python, R, etc.)
- Experience with data quality tools (Informatica, Talend, etc.)
- Familiarity with data visualization tools (Tableau, Power BI, etc.)
- Knowledge of database systems (SQL Server, Oracle, MySQL, etc.)
- Experience with ETL processes and data warehousing concepts.
Required Qualifications:
1. Bachelor’s degree in Computer Science, Information Technology, or a related field.
2. A minimum of 4 years of experience in data quality analysis or a related field.
3. Proven ability to analyze large datasets and synthesize complex information.
4. Strong attention to detail and problem-solving skills.
5. Excellent verbal and written communication skills.
Benefits
Work with one of the Big 4's in India
Business Intelligence
Posted today
Job Viewed
Job Description
• Must have lot of experience in writing proposals, coming up with solutions to address customers business needs, contribute/provide direction to the teams to create high-level / low-level BI architectures
• Utilize Business Intelligence expertise, business Knowledge and technical skills to successfully deliver Business Intelligence Solutions for contact center Market based on Pentaho BI Platform.
• Should have good exposure to BI tools and should preferably have hands-on on Informatica / Data Stage / OWB, BO / Cognos / Microstrategy / OBIEE
• Analyzing, designing, testing and coding of BI front end applications and back end engines according to the user requirements.
• Experience of developing reports using market leading BI Products especially Pentaho BI Suite.
• Expert in Pentaho BI Suite including Pentaho Report Designer,Pentaho Data Integration, Pentaho User Console, Pentaho Metadata Editor, Pentaho Schema Workbench.
• Experience of Designing and Developing highly interactive Reports and Dashboards.
• Candidate should possess strong BI foundation and understanding of dimensional Modelling.
• Design and meet business criteria and metrics for successful BI implementations
• Should have managed both development and maintenance projects in BI
• Candidate should be willing to travel to US on short term assignments and should be able to handle architecture level discussions with Client teams
Be The First To Know
About the latest Data analysts Jobs in India !
Business Intelligence
Posted today
Job Viewed
Job Description
- Tech Hiring
- 3079219
**Job Description**:
**Job Title**: Tech/Project Lead - Business Intelligence (BI)
**Location**: Bangalore, India
**Primary skills**:Database design and data modeling, ETL, SQL and Query Optimization, Google looker
**Secondary skills**:Stakeholder management, communication, presentation skills, collaboration, ability to articulate business requirement into tech capability.
**Responsibilities**:
- Lead and manage BI projects from conception to completion, including project planning, resource allocation, and execution, ensuring adherence to timelines and budgets.
- Provide technical leadership and guidance to a team of BI analysts and developers, fostering a collaborative and high-performing team culture.
- Architect and design scalable and efficient data warehouse solutions, leveraging GCP BigQuery and Google Looker reporting tools to extract, transform, and visualize data.
- Collaborate closely with stakeholders to gather requirements, define project scope, and ensure alignment of BI solutions with business objectives.
- Drive continuous improvement and innovation in BI processes, methodologies, and technologies, staying abreast of industry trends and best practices.
- Mentor and coach team members, providing guidance and support to facilitate their professional growth and development.
- Act as a moderator between technical and non-technical stakeholders, effectively communicating technical concepts and insights to drive informed decision-making.
**Requirements**:
- Bachelor’s degree in Computer Science, Information Systems, or related field.
- 8-10+ years of experience in Business Intelligence and Data Warehousing, with a proven track record of leading BI projects and teams.
- Expertise in GCP BigQuery and Google Looker reporting tools, with hands-on experience in designing and implementing BI solutions.
- Experience with Snowflake Data Warehouse is a plus.
- Strong leadership and project management skills, with the ability to effectively lead and motivate cross-functional teams.
- Excellent communication and interpersonal skills, with the ability to build strong relationships with stakeholders at all levels.
- Proven ability to deliver high-quality BI solutions on time and within budget, with a focus on driving measurable business outcomes.
- Strong analytical and problem-solving skills, with a keen attention to detail and a focus on delivering actionable insights.
**Benefits**:
- Competitive salary and add-on benefits
- Opportunity to work on cutting-edge BI and DW technologies
- Professional development and training opportunities
- Dynamic and collaborative work environment
- Potential for career growth and advancement
Data Warehousing
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.
Business Intelligence
Posted today
Job Viewed
Job Description
**Job Title**: Tech/Project Lead - Business Intelligence (BI)
**Location**: Bangalore, India
**Primary skills**:Database design and data modeling, ETL, SQL and Query Optimization, Google looker
**Secondary skills**:Stakeholder management, communication, presentation skills, collaboration, ability to articulate business requirement into tech capability.
**Responsibilities**:
- Lead and manage BI projects from conception to completion, including project planning, resource allocation, and execution, ensuring adherence to timelines and budgets.
- Provide technical leadership and guidance to a team of BI analysts and developers, fostering a collaborative and high-performing team culture.
- Architect and design scalable and efficient data warehouse solutions, leveraging GCP BigQuery and Google Looker reporting tools to extract, transform, and visualize data.
- Collaborate closely with stakeholders to gather requirements, define project scope, and ensure alignment of BI solutions with business objectives.
- Drive continuous improvement and innovation in BI processes, methodologies, and technologies, staying abreast of industry trends and best practices.
- Mentor and coach team members, providing guidance and support to facilitate their professional growth and development.
- Act as a moderator between technical and non-technical stakeholders, effectively communicating technical concepts and insights to drive informed decision-making.
**Requirements**:
- Bachelor’s degree in Computer Science, Information Systems, or related field.
- 8-10+ years of experience in Business Intelligence and Data Warehousing, with a proven track record of leading BI projects and teams.
- Expertise in GCP BigQuery and Google Looker reporting tools, with hands-on experience in designing and implementing BI solutions.
- Experience with Snowflake Data Warehouse is a plus.
- Strong leadership and project management skills, with the ability to effectively lead and motivate cross-functional teams.
- Excellent communication and interpersonal skills, with the ability to build strong relationships with stakeholders at all levels.
- Proven ability to deliver high-quality BI solutions on time and within budget, with a focus on driving measurable business outcomes.
- Strong analytical and problem-solving skills, with a keen attention to detail and a focus on delivering actionable insights.
**Benefits**:
- Competitive salary and add-on benefits
- Opportunity to work on cutting-edge BI and DW technologies
- Professional development and training opportunities
- Dynamic and collaborative work environment
- Potential for career growth and advancement
Business Intelligence Analyst
Posted 1 day ago
Job Viewed
Job Description
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
Within Danaher the work our life science businesses do saves lives-and we're all united by a shared commitment to innovate for tangible impact.
You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.
We have over 21,000 associates across more than 10 life sciences businesses. These businesses empower our customers to develop diverse and impactful innovations - from investigating the causes of disease, creating therapies and vaccines, protecting fluid filtration on airplanes, testing food and water, to advancing pharmaceuticals and biopharmaceuticals.
Learn about the Danaher Business System ( which makes everything possible.
Are you ready to transform raw data into real business impact? Danaher Life Sciences is looking for a Business Intelligence Analyst to join our high-performing digital team. In this role, you'll turn data into insights that guide global marketing and eCommerce decisions across channels and regions. If you're analytical, curious, and passionate about driving business performance through data, this role offers the perfect opportunity to grow with purpose and influence outcomes that matter in life sciences.
This position reports to the Sr Director of Digital Operations and is part of the Life Science Innovation Group, located in Pune, India. This role will be fully remote.
In this role, you will have the opportunity to:
- Design, build, and maintain intuitive dashboards and reports that track digital marketing, eCommerce, and lead performance metrics, leveraging business intelligence tools such as Power BI or Looker.- Analyze web traffic, campaign data, and conversion funnels to deliver actionable insights that drive strategic decisions.- Create and manage data models, dictionaries, and pipelines in partnership with IT and data engineering teams.- Deliver ad hoc analyses and reports to support marketing campaigns, sales forecasting, and executive dashboards.
The essential requirements of the job include:
Professional Experience5+ years of experience in business intelligence, digital analytics, or data science roles, preferably in a B2B environment. EducationBachelor's degree in Data Science, Statistics, Business Analytics, or related quantitative field.
LanguageFluent English required; other languages are a plus.
Within Danaher Life Sciences, we offer a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info ( .
Within Danaher Life Sciences we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working within Danaher Life Sciences can provide.
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance to eligible employees.
Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit .