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.
Skills Required
- 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
- Experience working with large datasets and building analytical solutions
- Excellent problem-solving and stakeholder management skills
- Build and maintain data pipelines and analytical frameworks
- 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 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eClerx LLC and has not been reviewed or approved by eClerx LLC.
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Healthcare Strength — Feedback suggests U.S. employees have access to medical, dental, and vision coverage, with HSA/FSA options and life insurance included. An Employee Assistance Program also appears in the public benefits profile supporting wellbeing.
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Retirement Support — Feedback suggests a 401(k) is part of the U.S. package, with some mentions of an employer match. Retirement provision is consistently cited across company profiles and listings.
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Leave & Time Off Breadth — Feedback suggests paid holidays, sick leave, and PTO are part of the offering, alongside parental leave. Parental leave is also highlighted in public benefits profiles.
eClerx LLC Insights
What We Do
eClerx provides business process management, automation and analytics services to a number of Fortune 2000 enterprises, including some of the world's leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies. Incorporated in 2000, eClerx is today traded on both the Bombay and National Stock Exchanges of India. The firm employs 16,000+ people across Australia, Canada, Germany, India, Italy, Netherlands, Philippines, Singapore, Thailand, UK, and the USA.
