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Sr. Data​/Business Analyst - Hybrid Mumbai; INTL - India

Job in Irvine, Orange County, California, 92713, USA
Listing for: Insight Global
Full Time position
Listed on 2026-05-11
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Data/Business Analyst - Hybrid Mumbai (INTL - India)

Role Overview

We are seeking a highly analytical and business-focused Senior Data Analyst to drive data-informed decision-making across teams. The ideal candidate will have strong expertise in SQL, Python, and BI tools, with experience in cloud data platforms (preferably GCP). The role requires the ability to transform complex datasets into meaningful insights that support business growth. This is a hybrid role preferably sitting in the clients Mumbai location, but Pune or Chennai could be a potential option.

Equal

Opportunity / EEO Statement

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to

Skills and Requirements
  • Strong SQL expertise with hands‑on experience in Postgre

    SQL, including writing, optimizing, and maintaining complex queries
  • Proven experience with database performance tuning, including indexing strategies, execution plans, and CPU/memory optimization
  • Experience working with large‑scale datasets and data pipelines in Google Cloud Platform (GCP), with hands‑on use of Big Query
  • Proficiency in Python for data analysis, data processing, scripting, and basic automation
  • Prior Data Analyst experience with the ability to interpret data and translate findings into clear, actionable insights
  • Hands‑on experience developing and maintaining dashboards and reports using Looker or comparable BI tools
  • Experience with Google Cloud Platform (GCP) Big Query (data warehousing)
  • Experience with Cloud Storage / Dataflow / Composer (nice to have)
  • Familiarity with LookML (if using Looker)
  • Experience working with large-scale or distributed datasets
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