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Data Analyst (Python/SQL)

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Onsite

Data Analyst (Python/SQL)

Tata Consultancy Services

Data Analyst (Python/SQL)

Skills

SQL QueriesTableauData MiningPythonData VisualizationNumPypandasData AnalysisPower BI

1 month ago

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Important information


Contract type:

Permanent

Location:

Delhi, India

Work mode:

Onsite

Published on:

26 September 2026

What they need


🚀 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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