Lead analytics efforts by analyzing large datasets, building dashboards and KPIs, writing optimized SQL, using Python for analysis and modeling, partnering with stakeholders, maintaining data pipelines, and delivering actionable insights to improve business performance.
Job Summary
We are looking for a Senior Analytics professional 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 opportunities.
- 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.
- 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.
- Strong 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.
- 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.
eClerx LLC Mumbai, Maharashtra, IND Office
Express Towers, 4th Floor, Ramnath Goenka Marg, Nariman Point, Mumbai, Maharashtra, India, 400021
eClerx LLC Navi Mumbai, Maharashtra, IND Office
Building # 11, 2nd, 3rd, 4th, 5th & 6th Floor, K Raheja Mindspace, Plot #3 TTC Industrial Area, Thane Belapur Road, Airoli, Navi Mumbai, India, 400708
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