1. Analyze business and customer datasets to identify trends, patterns, opportunities, and key performance drivers.
2. Develop, maintain, and enhance interactive dashboards and reports using Power BI and/or Tableau.
3. Translate business requirements into meaningful KPIs, analytical solutions, dashboards, and reporting frameworks.
4. Perform ad-hoc analysis, data deep dives, and root-cause analysis to support business decision-making.
5. Prepare clear and actionable insights using effective data visualization and storytelling techniques.
6. Validate data accuracy, consistency, and completeness across reports and analytical outputs.
7. Collaborate with business, technology, and data teams to understand requirements and deliver analytical solutions.
8. Document KPI definitions, analytical methodologies, assumptions, and reporting logic to ensure consistency and reuse.
Must Have Skills
• Strong proficiency in SQL, including joins, CTEs, aggregations, subqueries, and window functions.
• Strong hands-on experience with Power BI and/or Tableau for dashboard development and data visualization.
• Strong Excel skills, including advanced formulas, pivot tables, lookups, and data analysis.
• Strong analytical and problem-solving skills with the ability to investigate and interpret complex datasets.
• Ability to translate business requirements into measurable KPIs, reports, and analytical solutions.
• Good understanding of data quality, validation, and basic data modeling concepts.
• Ability to communicate analytical findings clearly to technical and non-technical stakeholders.
Good To Have Skills
• Python/Pandas for data analysis, automation, and data preparation.
• Experience with cloud data platforms such as Snowflake, BigQuery, Databricks, Azure, or AWS.
• Understanding of statistical concepts such as hypothesis testing, correlation, regression, A/B testing, and confidence intervals.
• Experience with Git/GitHub or other version-control tools.
• Experience working with large-scale datasets and analytical data models.
AI / GenAI
• Experience using Generative AI / LLM tools for data exploration, SQL generation, analysis, documentation, or workflow automation.
• Familiarity with prompt engineering and responsible use of AI in analytics.
• Exposure to AI-assisted BI, natural-language analytics, or automated insight generation.
eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience.
eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.
Skills Required
- Strong proficiency in SQL, including joins, CTEs, aggregations, subqueries, and window functions
- Hands-on experience with Power BI and/or Tableau for dashboard development and data visualization
- Strong Excel skills, including advanced formulas, pivot tables, lookups, and data analysis
- Strong analytical and problem-solving skills for investigating and interpreting complex datasets
- Ability to translate business requirements into measurable KPIs, reports, and analytical solutions
- Understanding of data quality, validation, and basic data modeling concepts
- Ability to communicate analytical findings clearly to technical and non-technical stakeholders
- Python and Pandas for data analysis, automation, and data preparation
- Experience with cloud data platforms such as Snowflake, BigQuery, Databricks, Azure, or AWS
- Understanding of statistical concepts including hypothesis testing, correlation, regression, A/B testing, and confidence intervals
- Experience with Git, GitHub, or other version-control tools
- Experience working with large-scale datasets and analytical data models
- Experience using Generative AI or LLM tools for data exploration, SQL generation, analysis, documentation, or workflow automation
- Familiarity with prompt engineering and responsible AI use in analytics
- Exposure to AI-assisted BI, natural-language analytics, or automated insight generation
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.





