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Power BI / Insurance Analytics Developer

EXL • Business Process Outsourcing (BPO) • AI Consulting & Integration • SQL • Power BI • Dimensional Modeling • 2 days ago

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Salary

≈ $67k – $127k per year (Estimated)

Location

In office (Chicago, Canada)

Seniority

Middle · 4+ years exp

Visa

H-1B filings in 12 months: 281 · for this role: 87 · green card filings: 17

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 23, 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

Power BI

Strong hands-on experience with Power BI Desktop and Power BI Service.
Strong knowledge of DAX, Power Query, data modeling, relationships, drill-through, bookmarks, filters, and visualization best practices.
Experience building complex dashboards and executive or business reporting solutions.
Understanding of Power BI performance optimization and data model design.

SQL and Data

Strong SQL skills, including joins, CTEs, subqueries, window functions, aggregations, and complex transformations.
Experience analyzing and reconciling data across multiple tables and data sources.
Good understanding of relational databases, dimensional modeling, and data warehousing concepts.
Ability to investigate data-quality issues and independently perform root-cause analysis.

Insurance Analytics

Good understanding of insurance data and business processes, preferably within Property & Casualty insurance.
Familiarity with policy, coverage, exposure, premium, claims, losses, reserves, limits, deductibles, brokers or agents, and underwriting.
Ability to understand insurance KPIs and translate business questions into analytical reports and dashboards.
Experience working with policy, claims, underwriting, or premium-related datasets is preferred.

Design, develop, and maintain interactive Power BI dashboards and reports for insurance business users.
Develop efficient DAX measures, calculated columns, KPIs, and data models to support analytical and reporting requirements.
Write and optimize complex SQL queries for data extraction, transformation, reconciliation, and analysis.
Analyze large datasets to identify business trends, data issues, and actionable insights.
Work with business stakeholders to understand requirements and translate them into reporting and analytical solutions.
Perform data validation, reconciliation, and root-cause analysis to ensure reporting accuracy and consistency.
Develop and maintain dimensional data models supporting reporting and analytics use cases.
Collaborate with data engineering, business, and analytics teams to integrate data from multiple source systems.
Apply insurance domain knowledge to interpret business data and develop meaningful KPIs and reporting solutions.
Support report performance optimization, production issues, enhancements, and ongoing reporting needs.

4-6 years of overall experience in business intelligence, reporting, or data analytics.
Hands-on experience with Power BI and SQL in enterprise reporting environments.
Prior experience with an insurance carrier, broker, MGA, or insurance analytics organization is highly desirable.
Exposure to Azure, Snowflake, Databricks, or SQL Server would be an advantage.
Strong analytical thinking, problem-solving, and communication skills.
Ability to interact with business stakeholders and independently convert requirements into technical solutions.

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