Process Manager at eClerx Career Site

, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Tableau, Python, Data Analysis, Debugging, Data Validation, Root Cause Analysis, Data Integrity, Data Visualization, Problem-Solving, Analytical Thinking, Data Accuracy, Adobe Analytics

Industry

IT Services and IT Consulting

Description

We are looking for a highly analytical and detail-oriented Senior Data Analyst with strong expertise in Tableau and SQL, with Python as a secondary skill. The ideal candidate will have excellent debugging skills, strong analytical aptitude, and the ability to deeply investigate data, identify inconsistencies, and generate actionable insights. This role requires someone who can analyze data at multiple levels, perform deep dives across various dimensions and cuts, and clearly communicate findings to stakeholders. Experience with Adobe Analytics or other marketing analytics platforms is a strong plus. -------------------------------------------------------------------------------- KEY RESPONSIBILITIES * Analyze large and complex datasets using SQL, with support from Python when required, to extract meaningful insights. * Build interactive dashboards and visualizations using Tableau. * Perform detailed data validation, inline checks, and root cause analysis. * Debug data issues and ensure data accuracy, consistency, and integrity. * Conduct multi-dimensional data analysis (segments, cohorts, channels, time periods, etc.). * Identify trends, anomalies, and optimization opportunities through deep analytical analysis. * Translate complex data findings into clear and actionable business recommendations. -------------------------------------------------------------------------------- REQUIRED QUALIFICATIONS * Minimum 8+ years of experience in a Data Analyst role. * Strong hands-on experience with SQL and Tableau. * Experience in Tableau dashboard development, including calculated fields, data blending, and data visualization best practices. * Working knowledge of Python (Pandas, NumPy, etc.) for advanced data analysis or automation when needed. * Strong debugging and problem-solving skills. * Excellent analytical thinking and the ability to identify data discrepancies and inconsistencies. * Ability to analyze data at both granular and aggregate levels. -------------------------------------------------------------------------------- KEY COMPETENCIES * Strong attention to detail * High analytical rigor * Curiosity and investigative mindset * Structured thinking * Ability to work independently and manage multiple priorities 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.

Responsibilities

Key responsibilities involve analyzing large and complex datasets using SQL and Python to extract insights, building interactive Tableau dashboards, and performing detailed data validation and root cause analysis. The role also requires identifying trends and translating complex data findings into actionable business recommendations for stakeholders.