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Process Manager

eClerx · Mumbai, Maharashtra, India

5–12 yrs experiencefull_timePosted 1w ago
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Job description

**Job Description** **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. **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. - 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. **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.