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