Data Analyst

Tata Consultancy Services

Hyderabad, Chennai District

On-site

INR 600,000 - 1,200,000

Full time

6 days ago
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Job summary

Tata Consultancy Services in Hyderabad is seeking a data analytics professional to transform raw data into actionable insights using Tableau, SQL, and Python. You will build dashboards, optimize queries, and prepare data for stakeholders.

You should be proficient with Databricks/Spark (PySpark), cloud platforms (Azure/AWS/GCP), and handle large datasets while applying statistical methods and A/B testing to drive business decisions.

Qualifications

  • Strong hands-on expertise in Tableau, including dashboards and BI reporting.
  • Advanced SQL skills for complex queries and optimization.
  • Good working knowledge of Python for data preparation (Pandas, NumPy).
  • Ability to interpret data and deliver actionable insights.
  • Strong communication and stakeholder management skills.
  • Experience with Databricks and Spark (PySpark).
  • Understanding of cloud platforms (Azure/AWS/GCP).
  • Experience with large dataset processing.
  • Knowledge of statistical methods and A/B testing.

Responsibilities

  • Strong hands-on expertise in Tableau, including dashboards and BI reporting.
  • Advanced SQL skills for complex queries and optimization.
  • Good working knowledge of Python for data preparation (Pandas, NumPy).
  • Ability to interpret data and deliver actionable insights.
  • Strong communication and stakeholder management skills.
  • Experience with Databricks and Spark (PySpark).
  • Understanding of cloud platforms (Azure/AWS/GCP).
  • Experience with large dataset processing.
  • Knowledge of statistical methods and A/B testing.

Skills

Tableau
SQL
Python
Data analysis
Communication
Stakeholder management

Tools

Databricks
Spark
PySpark

Job description

Role & responsibilities

  • Strong hands-on expertise in Tableau, including dashboards and BI reporting
  • Advanced SQL skills for complex queries and optimization
  • Good working knowledge of Python for data preparation (Pandas, NumPy)
  • Ability to interpret data and deliver actionable insights
  • Strong communication and stakeholder management skills
  • Experience with Databricks and Spark (PySpark)
  • Understanding of cloud platforms (Azure/AWS/GCP)
  • Experience with large dataset processing
  • Knowledge of statistical methods and A/B testing
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