6,654 Data Analytics jobs in India

• Build a world-class team of data scientists and engineers; mentor team, both in terms of daily troubleshooting and long-term career development; over time, build a reputation for LS&Co. as an employer of choice for data and AI professionals.
• Effectively manage team and budget, for the right blend of internal and external resources.
• Build a community of data and analytics-savvy colleagues through a combination of training, knowledge sharing, and inspiration / best practice sharing
• Be a great team player, demonstrating empathy and positive psychology, and with strong cross-functional working relationships across commercial and technology teams, locally and globally.
• Lead by example and provide ongoing mentorship and guidance to the team
• Promote a growth mindset and culture of continuous learning and improvement, empathy, humility, and positive psychology
• Ensure accuracy and relevance of all work through peer reviews, pair-programming, and close partnership with colleagues across the business

Roles and Responsibilities

Hiring for a Leading Private Sector BankResponsibilities :-

Proficient in Oracle SQL programming with considerable years of relevant experience

Good exposure to various joins, summary and SQL analytical functions for data processing

Good knowledge of performance tuning in Oracle SQL

Exposure to R, Python programming and Tableau tool is a plus

Basic knowledge in data warehousing concepts

Exposure in preparing reports in Excel and willing to learn new technologies

Strong oral and written communication skills along with problem resolution skills

Ability to prioritize work, exhibits appropriate sense of urgency in managing responsibilities and meet deadlines

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.

**Role Profile**:
Through supporting the Head of Data & Analytics, Global Facultative in delivering the Data & Analytics vision, responsibilities will include the full range of duties that fall under Data & Analytics. Examples include:

- Data collection (from internal and external sources), cleansing, transformation, and enrichment, where required.
- Data analysis, visualization and dashboarding.
- Coding projects (SQL, R, RShiny, VBA).
- General day-to-day supporting brokers.
- Supporting the development and testing of analytical tools.
- Other ad-hoc responsibilities such as writing articles and occasionally placement submission work.
- Communication of all the above and training to users of any solutions delivered.

**Skills Required**:

- Technically minded with a desire to work in a truly varied role with a large range of stakeholders.
- A blend of technical and commercial skills required. A quantitative background would be ideal.
- Experience of working in data management, data quality, data governance, data modelling, and business intelligence would be advantageous but not essential.
- Experience in an insurance setting would be advantageous but not essential.
- Strong experience in R is required, and strong R Shiny experience would be very advantageous.
- Specifically, good knowledge of SQL, R and VBA and comfort of working with big datasets generally.
- Enthusiasm and comfort in getting involved with a range of coding and non-coding projects is the key requirement here.
- Data Visualization and Dashboarding tools experience (Power BI/R shiny/Tableau/Qlikview etc).
- Ability to draw conclusions from data in a logical, systematic way and communicate these effectively.
- Motivation to improve the broking and client experience using data insights and analytical tools.
- Problem solving skills and the ability to work independently - with accountability - as well as part of a team.
- ETL, data science and web scraping expertise would be advantageous but not essential.
- Experience of communicating to a range of stakeholders.
- A team player able to work with a large number of colleagues from different departments.

We at TeamQuest Pvt. Ltd. are hiring for the position of “Data Analyst” for “Tech Mahindra” at “Hyderabad”.

Company - Tech Mahindra

Position - Data Analyst

Location - Hyderabad

Experience - 5 to 8 Years

Skills
- Critical / Must have Skill
- Experience: 5-8y
- Basic Python is Mandatory
- Strong Mathematical Knowledge
- Basic statistical knowledge
- Good at Problem solving approach, logical & reasoning

Hand-on Skill / Tool Test
- Python Programming in data analytics
- Hands on experience in ML
- Statistical Modeling

Schedule:

- Day shift

Work Location: In person

**Critical / Must have Skill**
- Experience: 5-8y
- Basic Python is Mandatory
- Strong Mathematical Knowledge
- Basic statistical knowledge
- Good at Problem solving approach, logical & reasoning

**Hand-on Skill / Tool Test**
- Python Programming in data analytics
- Hands on experience in ML
- Statistical Modeling

**Salary**: Up to ₹1,800,000.00 per year

Schedule:

- Monday to Friday

**Experience**:

- Python Programming in data analytics: 4 years (required)
- ML: 1 year (required)
- Statistical Modeling: 1 year (preferred)

Ability to Commute:

- Hyderabad, Telangana (required)

Ability to Relocate:

- Hyderabad, Telangana: Relocate before starting work (required)

**Speak with the employer**
+91

**Job description**

**Required Experience: 2 to 5 Years**

**Position Overview**: As a Data Manager cum Analytics, you will take a lead role in managing and optimizing databases, crafting efficient SQL queries, and collaborating closely with developers to enhance query performance. Your expertise in Excel, Python, and Visual Basics will be essential for data manipulation, and your proficiency in data visualization will be crucial for creating insightful dashboards.

Your responsibilities will extend to implementing data table structures, optimizing indexing strategies, and ensuring effective data tenancy models. Additionally, you will be involved in data modeling, encompassing entity relationship diagrams (ERDs), unified modeling language diagrams (UML diagrams), and various other modeling techniques.

**Experience**:

- 2-3 Years of proven experience as a Database Administrator, managing and optimizing database systems.
- Proficiency in handling various database management systems (e.g., PGSQL, SQL Server etc).
- Proficiency in Python and various libraries
- Preferable background in Java Spring Boot, and familiarity with JavaScript will be advantageous.

**Key Responsibilities**:
**SQL Query Optimization**:

- Craft and optimize SQL queries to ensure efficient data retrieval.
- Collaborate with developers to enhance overall database performance.

**Data Modeling**:

- Develop entity relationship diagrams (ERDs), unified modeling language diagrams (UML diagrams), and other data modeling techniques.
- Ensure alignment of data models with organizational requirements.

**Data Visualization**:

- Create visually impactful dashboards to communicate complex data trends.
- Utilize tools such as Tableau or Power BI for effective data representation.

**Programming Proficiency**:

- Demonstrate expertise in Excel, Python, and Visual Basics for data manipulation and automation.
- Leverage scripting skills to streamline data processes.

**Database Architecture**:

- Implement and manage data table structures to efficiently organize and store information.
- Optimize indexing strategies for enhanced database performance.

**Data Tenancy Implementation**:

- Ensure effective data tenancy models for logical separation of data in multi-tenant environments.
- Customize data access and permissions based on tenancy structures.

**Database Design and Implementation**:

- Design and implement database structures based on organizational needs.
- Collaborate with developers to ensure efficient data storage and retrieval.

**Database Maintenance and Optimization**:

- Perform regular database maintenance tasks, including backups, restores, and integrity checks.
- Optimize database performance through indexing, query optimization, and system monitoring.

**Security Management**:

- Implement and maintain database security measures to protect sensitive data.
- Monitor access controls, permissions, and audit trails to ensure compliance with security policies.

**Data Integrity and Recovery**:

- Ensure data integrity through proper database design and validation rules.
- Develop and implement disaster recovery plans to minimize data loss in case of system failures.

**Software Upgrades and Patch Management**:

- Coordinate and implement database software upgrades and patches.
- Stay informed about the latest updates and security patches for the database management system.

**Performance Monitoring and Tuning**:

- Monitor database performance using tools and system logs.
- Identify and address performance issues, bottlenecks, and inefficiencies.

**Troubleshooting and Issue Resolution**:

- Investigate and resolve database-related issues in a timely manner.
- Collaborate with support teams and vendors to address technical challenges.

**Documentation**:

- Maintain comprehensive documentation of database configurations, procedures, and troubleshooting guides.
- Develop and update documentation for database-related processes.

**Data Analysis and Manipulation**:
1. **Data Analysis**:

- Utilize database management software for comprehensive data analysis.
- Employ SQL for querying requests from the database.

2. **Advanced Excel**:

- Utilize advanced Excel functionalities for in-depth data analysis and manipulation.
- Implement Excel for complex calculations, data organization, and reporting.

3. **Data Visualization Tools**:

- Use Tableau or Power BI to visually represent data insights.
- Design and develop interactive dashboards for effective data communication using Excel/Google Sheet.

**Qualifications and Skills**:

- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven working experience as a Data Analyst
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
- Knowledge of sta