Key Responsibilities
Design, develop, and maintain interactive Tableau dashboards (Desktop & Server) for multiple stakeholders.
Write advanced SQL queries (including window functions, CTEs, and performance tuning) to extract and validate data from relational databases.
Build and automate data pipelines using Python (pandas, sqlalchemy) for data cleaning, transformation, and enrichment.
Conduct A/B tests, statistical analyses, and experiment monitoring to evaluate product and marketing initiatives.
Collaborate with data engineers, product managers, and UX designers to define metrics, data models, and reporting requirements.
Document data definitions, analytical methods, and visualization standards in a shared knowledge base.
Mentor junior analysts on best practices for data modeling, visualization,



and reproducible analysis.

Required Qualifications
4‑6 years of qualified experience in data analytics, data science, or related roles.
Proficient in Tableau (desktop & server) with a portfolio of end‑to‑end dashboards.
Advanced SQL skills; ability to write complex, optimized queries across multiple RDBMS platforms.
Solid Python programming (≥4 years), including libraries such as pandas, numpy, and matplotlib/seaborn.
Hands‑on experience conducting A/B testing and interpreting statistical results.
Excellent problem‑solving abilities and a data‑driven mindset.

📌 Data Analyst Ii Gurugram
🏢 Deutsche Telekom Digital Labs
📍 Gurugram