Job Description

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.