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Data Analyst Fintech

EXL • Business Process Outsourcing (BPO) • AI Consulting & Integration • Python • SQL • Tableau • 6 months ago
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Salary
≈ $13k – $29k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Apr 13, 2026. EXL scores B on the Alion truth index.

Overview
Company
Impact
Profile match

EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.
exlservice.com • HQ: New York, United States • AI Consulting & Integration • Analytics & BI Consulting • Business Process Outsourcing (BPO) • 5000+ employees • Est. 1999
Tech stack of EXL

Data Analyst - Strategic Finance

Looking to work on high-impact data problems that influence business and financial decisions? This role sits at the intersection of data analytics, financial insights, and operational strategy, helping teams make faster and better decisions using data.

What you’ll do:

  • Analyze large financial and operational datasets to generate actionable insights
  • Build and maintain dashboards and reporting frameworks for business stakeholders
  • Write efficient SQL queries to extract, transform, and analyze data from large data warehouses
  • Perform deep-dive analysis to identify trends, anomalies, and opportunities for improvement
  • Automate recurring analysis and workflows using Python libraries
  • Partner with cross-functional teams including Finance, Product, Operations, and Data Engineering
  • Ensure data quality, validation, and consistency across reporting pipelines

Tech Stack:

SQL / PrestoDB | Python | Tableau | Cursor | Google Sheets

What we’re looking for:

  • 3-5 years of experience in Data Analytics / Business Analytics
  • Strong SQL skills with experience working on large datasets
  • Hands-on experience with Python for analysis and automation
  • Experience with data science environments such as DSW, Jupiter Notebook
  • Familiarity with AI-assisted development tools (e.g., Cursor)
  • Strong analytical thinking and problem-solving ability
  • Experience building dashboards and communicating insights to stakeholders
  • Ability to communicate insights clearly with business stakeholders

Detail-oriented mindset with a focus on data accuracy and reliability

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