Job Summary

We are looking for a Senior Analytics qualified with strong expertise in SQL, Python, and data analytics to drive business insights, reporting, and data-driven decision-making. The ideal candidate should have experience working with large datasets, building analytical solutions, and collaborating with business stakeholders, preferably within the eCommerce, Retail, or Digital business domain.

Key Responsibilities
Analyze large and complex datasets to identify trends, patterns, and business prospects.
Develop dashboards, reports, and KPIs to support business decision-making.
Write optimized SQL queries for data extraction, transformation, and analysis.
Utilize Python for data manipulation, statistical analysis, automation, and predictive modeling.
Partner with business teams to understand requirements and translate them into analytical solutions.
Perform ad-hoc analysis and present actionable insights to stakeholders.
Build and maintain data pipelines and analytical frameworks.




Monitor business performance and recommend improvements based on data insights.
Collaborate with Data Engineering and Product teams to enhance data quality and accessibility.

Required Skills
Strong proficiency in SQL (Joins, CTEs, Window Functions, Query Optimization).
Hands-on experience with Python (Pandas, NumPy, Matplotlib, Scikit-learn).
Experience with BI and visualization tools such as Tableau, Power BI, or Looker .
Robust understanding of statistics, experimentation, and data analysis techniques.
Experience working with cloud platforms such as AWS, GCP, or Azure .
Excellent problem-solving and stakeholder management skills.

Preferred Skills
Experience in eCommerce, Retail, Marketplace, or Digital Analytics .
Knowledge of customer analytics, marketing analytics, pricing analytics, or product analytics.
Exposure to machine learning and predictive analytics.
Experience with ETL processes and data warehousing concepts.

📌 Process Manager Mumbai
🏢 eClerx
📍 Mumbai