DELHI · FULLTIME
Data Analyst (Python/SQL)
Tata Consultancy Services
Delhi · onsite · Posted 22d ago
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Section · 01
About this role
Hiring: Data Analyst | Python & SQL
We are looking for an experienced Data Analyst with strong hands-on expertise in Python and SQL to analyze complex datasets, generate actionable insights, and support data-driven business decisions.
Job Details
- Role: Data Analyst
- Experience: 6–10 Years
- Locations: Chennai / Pune / Bangalore / Hyderabad / Delhi
- Notice Period: Immediate Joiners to 45 Days
- Key Skills: Python, SQL, Data Analysis, Data Visualization
Key Responsibilities
- Analyze large and complex datasets to identify trends, patterns, anomalies, and business insights.
- Develop and optimize complex SQL queries for data extraction, transformation, and analysis.
- Use Python for data manipulation, cleansing, automation, and analytical solutions.
- Perform data validation, reconciliation, profiling, and quality checks.
- Create dashboards, reports, and visualizations to communicate insights effectively.
- Translate business requirements into analytical solutions and measurable outcomes.
- Work closely with business stakeholders, data engineers, and cross-functional teams.
- Automate recurring reports and manual data-analysis processes using Python and SQL.
- Investigate data discrepancies and perform root cause analysis.
- Maintain documentation related to data definitions, analytical processes, and reporting logic.
Required Skills
- 6–10 years of relevant experience in Data Analytics / Business Analytics.
- Strong hands-on expertise in Python and SQL.
- Experience with Python libraries such as Pandas, NumPy, or similar data-processing libraries.
- Strong knowledge of data analysis, data cleansing, transformation, and validation.
- Ability to write and optimize complex SQL queries.
- Good understanding of relational databases and data warehousing concepts.
- Experience with visualization/reporting tools such as Power BI, Tableau, or similar platforms is preferred.
- Good understanding of statistical and analytical techniques.
- Strong problem-solving and analytical thinking abilities.
- Excellent communication and stakeholder-management skills.
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Section · 02
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