SQL , including joins, subqueries, CTEs, window functions, and aggregations. Hands-on experience with
Tableau or Power BI for dashboard development and data visualization. Good understanding of data cleaning, transformation, and exploratory data analysis. Strong analytical and problem-solving skills. Ability to work with large datasets and derive meaningful insights. Good understanding of data visualization principles. Strong communication and stakeholder-management skills. Good to Have: Experience with
Pandas, NumPy, Matplotlib/Seaborn or similar Python libraries. Knowledge of data warehousing and ETL concepts. Experience with cloud platforms such as
AWS, Azure, or GCP . Familiarity with statistical concepts and basic predictive analytics. Experience working with business KPIs and performance reporting.
📌 Data Analyst (Sector 27)
🏢 Innodata
📍 Sector 27
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