343 Data Analyst jobs in Chennai

• Assist in gathering and cleaning data from various sources.
• Perform data analysis to identify trends, patterns, and insights.
• Support the creation and maintenance of reports and dashboards using BI tools (e.g., Tableau, Power BI).
• Collaborate with senior analysts to understand business requirements and translate them into analytical tasks.
• Conduct exploratory data analysis to uncover underlying business drivers.
• Assist in documenting data sources, methodologies, and findings.
• Learn and apply statistical techniques to analyze data effectively.
• Present findings and recommendations to the team.
• Participate in team meetings and contribute to project discussions.
• Help ensure data accuracy and integrity across reports and systems.
• Develop a foundational understanding of business intelligence concepts and practices.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Foundational knowledge of data analysis principles and techniques.
• Proficiency in using spreadsheet software (e.g., Microsoft Excel) for data manipulation and analysis.
• Basic understanding of SQL for data extraction.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Eagerness to learn and contribute in a team environment.
• Ability to manage multiple tasks and prioritize effectively.

Job Title: Data Analyst

Location: India (Remote)

Duration: Contract

Must Have: Data Analyst with SAP Finance

Job Description:

A data analyst systematically collects, processes, and performs statistical analyses on data sets. Their responsibilities include:

1. Data Cleaning and Preparation: This involves filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance.

2. Data Exploration and Analysis: Analysts use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends.

3. Data Visualization: They create visual representations of data findings through charts, graphs, and dashboards to make the data understandable.

4. Reporting: Data analysts prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes.

5. Collaboration: They often work with other departments to understand their data needs and help them make informed decisions based on data insights.

About Client:

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Job Title: Data Analyst( Brand Analytics)

Skills : Data analyst with Python + SQL + Pyspark

Job Locations: Bengaluru , Chennai

Experience: 3.6-7 Years

Budget: 10LPA

Education Qualification : Any Graduation

Work Mode: Hybrid

Employment Type: Contract

Notice Period: Immediate - 15 Days

Interview Mode: 1round of face to face

Job Description:

Strong analytical skills must be complemented by excellent communication and collaboration abilities. The ideal candidate will have a demonstrated track record of influencing key business decisions through impactful insights. You will also be expected to continuously evaluate and adopt new quantitative methods and technologies to improve analytical capabilities across the organization.

Essential Qualifications:

A bachelors degree in a quantitative field such as Engineering, Operations Research, Management Science, Economics, Statistics, Applied Mathematics, Computer Science, or Data Science is required; an advanced degree (Masters, MBA, or PhD) is preferred. Candidates should have at least 3 years of experience applying advanced statistical methods to large, complex datasets. Proficiency in PySpark, Python, R, and SQL is essential, along with familiarity in data visualization tools such as PowerBI, MicroStrategy, Tableau, QlikView, or D3.js. Experience working on platforms like Databricks and with IQVIA datasets is highly valued. Strong Excel and PowerPoint skills, along with a background in statistical modeling and machine learning, are a plus. The role requires the ability to extract and communicate key insights, along with excellent organizational and time management capabilities.

Desirable Qualifications:

The ideal candidate will possess strong leadership and interpersonal skills, with a proven ability to work effectively across business functions and with senior stakeholders. Excellent communication and influencing abilities are essential for presenting complex analyses in a concise and impactful manner. Strategic thinking and the ability to build credibility with the Commercial Leadership Team are key. Familiarity with scientific areas especially oncology is a plus. Experience working with big data technologies, including Spark, is desirable. Candidates should also demonstrate strong problem-solving skills and the ability to quickly grasp new concepts.

Interested Candidates please share your CV to

TCS is hiring for Data Analyst role!

Qualification :- Minimum 15 years of regular, full-time education (10 + 2 + 3) is mandatory.

Shift : US/UK shift

Job Description-

• Prepare and send weekly and monthly sales reports to customers.
• Maintain and organize customer data and sales records accurately.
• Create presentations and visual reports using PowerPoint for internal and external stakeholders.
• Collaborate with the sales team to ensure timely and accurate reporting.
• Respond to customer inquiries related to reports and data.
• Assist in tracking sales performance and KPIs.
• Ensure confidentiality and proper handling of sensitive customer information.

Regards

Ritika Jagwani (HR)

• Gather data from various sources such as relational databases, data warehouses, cloud platforms, and external APIs.
• Clean, preprocess, and transform data to ensure quality, consistency, and usability.
• Analyze large datasets using statistical and data mining techniques.
• Automate repetitive and manual processes used for reporting and analytics.
• Reconcile and validate data across multiple systems and datasets.
• Identify trends, patterns, and outliers in complex data sets to generate actionable business insights.
• Design and develop interactive dashboards, reports, and data visualizations in Tableau to support business decision-making.
• Use tools like Tableau, Power BI, and Python (Pandas, Matplotlib, Plotly) for advanced data visualizations.
• Develop and maintain robust SQL queries and Python scripts for data extraction, manipulation, and automation.
• Integrate data pipelines with external/internal APIs for real-time or scheduled data ingestion.
• Collaborate with cross-functional teams to understand data needs and translate business requirements into technical solutions.
• Provide ad-hoc analysis and support ongoing and special analytics projects.
• Recommend improvements in data collection, storage, and reporting processes.
• Stay current with the latest tools, technologies, and best practices in data analytics and visualization.
• Experience with big data technologies like Hadoop, Spark, or AWS/GCP data tools.
• Exposure to machine learning algorithms and data science concepts.
• Relevant certifications in Tableau, Python, Data Analysis, or Business Intelligence.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
• 5+ years of experience as a data analyst or Tableau developer.
• Proficiency in SQL, Python, and RESTful APIs for data access and analysis.
• Strong experience with data visualization tools like Tableau (mandatory) and Power BI.
• Solid understanding of data modeling, ETL processes, and data quality concepts.
• Excellent analytical and problem-solving skills with high attention to detail.
• Strong communication skills; ability to explain technical findings to non-technical stakeholders.
• Experience working independently in a fast-paced, team-oriented environment.
• Preferred domain experience: BFSI (Banking, Financial Services, and Insurance) or Fintech.

Collecting data from various sources Streamlining data collection methods to create automated and easy-to-use routines Designing databases and data systems Maintaining databases and data systems by addressing errors and monitoring performance Analyzing collected data and putting it into a format that others can easily interpret Interpreting data trends and patterns as they relate to the organization Preparing reports for organizational leadership to use in a business setting Collaborating with other employees, including engineers and programmers, to determine areas of improvement in relation to data

Job Types: Full-time, Fresher

Pay: ₹18, ₹42,544.24 per month

Benefits:

• Cell phone reimbursement
• Health insurance
• Provident Fund

Language:

• Tamil (Preferred)

Work Location: In person

We are seeking a detail-oriented and analytical
Data Analyst
with strong proficiency in
SQL
and
Python
to join our growing team. The ideal candidate will have experience in data wrangling, building insightful reports, and supporting data-driven decision-making across business functions.

Key Responsibilities

• Collect, clean, and transform structured and unstructured datasets from multiple sources.
• Write complex
  SQL queries
  to extract, aggregate, and analyze large volumes of data.
• Use
  Python
  for data manipulation, automation, and exploratory data analysis (EDA).
• Develop dashboards, reports, and visualizations to present insights to stakeholders.
• Collaborate with cross-functional teams (Product, Business, Engineering) to identify data requirements and KPIs.
• Support data validation, quality checks, and governance practices.
• Provide actionable insights and recommendations based on data analysis.

Required Skills & Qualifications

• Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Proven experience as a
  Data Analyst
  or similar role.
• Strong hands-on expertise in
  SQL
  (query optimization, joins, CTEs, window functions).
• Knowledge/Experience in
  Python
  (Pandas, NumPy, Matplotlib/Seaborn for analysis & visualization).
• Experience working with relational databases (MySQL, PostgreSQL, SQL Server, etc.).
• Ability to translate business needs into technical requirements and analytical solutions.
• Strong problem-solving skills, attention to detail, and communication abilities.

Good to Have (Preferred Skills)

• Experience with
  BI tools
  (Power BI, Tableau, Looker, etc.).
• Exposure to
  ETL processes
  and data pipelines.
• Knowledge of
  statistics
  and basic machine learning concepts.