Senior Data Analytics Manager
Eclerx Services
Work from Office
Full Time
Min. 5 yearsJob Description
Process Manager
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.
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