Data Analyst

Base Compensation Range: 50,000 - 80,000

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

Data Profiling & Analysis

• Run basic data profiling on datasets to check for completeness, accuracy, and consistency.
• Document findings and flag data quality issues to the team.
• Help prepare simple data quality reports for stakeholder review.

Microsoft Purview

• Learn and use Microsoft Purview to support day-to-day data governance activities.
• Help register data assets and maintain entries in the data catalog.
• Follow established governance processes and document steps as you go.

Business Terms & Data Rules

• Work with business teams to understand how data is used in their day-to-day operations.
• Help draft clear definitions for business terms and basic data rules based on profiling results.
• Keep the business glossary updated and organized.

Data Standardization

• Support efforts to standardize data formats, naming conventions, and values across systems.
• Flag inconsistencies and coordinate with the team on clean-up activities.
  
  What We're Looking For
  Education
• Graduate with a degree in Computer Science, Information Systems, Business, or any related field.
  Skills & Knowledge
• Understanding of Group Insurance data domains
• Basic understanding of data concepts (databases, tables, data types).
• Comfortable working with Microsoft Excel or similar tools.
• Exposure to SQL.
• Familiarity with Microsoft tools (Teams, SharePoint, Excel) is helpful.
  Personal Qualities
• Detail-oriented with good analytical thinking.
• Good communicator — able to ask the right questions and explain things clearly.
• Willing to learn new tools and processes with guidance.
• Organized, reliable, and comfortable working in a team

Graduate in Computer Science, Data Science, Informatics, or a related field. 2-3 years of experience in data informatics or data analysis.