EXL

Data Analytics Manager (POD SPOC)

United States full-time Executive $93,900 - $154,200
full-time Executive level Technology & IT Salary listed Curated
Sign in to apply Free account — we bring you straight back to this role.

About the role

EXL is considered the Special Investigation Unit by 6 of the top 10 US health insurance companies (~1/3rd of US healthcare data is handled by us), helping with error/overpayment detection of hospital/doctor claims. Unlike typical services and consulting companies, we make our revenue from the savings we identify for the client (Commission/Outcome basis). We productize algorithms and R&D accelerators that are intended to be used across multiple health insurance clients for the above business case.
The POD SPOC is accountable for end-to-end analytics project delivery for an assigned client POD. This is a hands-on delivery role that converts client and program priorities into executable analytics workplans, manages project cadence across teams, governs POD and program health through KPIs, and ensures the analytics portfolio contributes to monthly, quarterly, and annual revenue goals.
*Base Pay Range: 93,900 - 154,200
For more information on benefits and what we offer please visit us at
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Executive
Technology & IT Data Analysis Data Analytics Manager Pod Executive level

Likely questions

  1. Tell us about work you have done that is close to the Data Analytics Manager (POD SPOC) role.
  2. How would you approach your first 30 days at EXL?
  3. Which of Data Analysis, Data and Analytics have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Data and Analytics.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Analytics Manager (POD SPOC) role because I can bring practical experience in Data Analysis, Data and Analytics, learn the team quickly, and contribute to the outcomes EXL needs from this hire.

Related jobs.

More roles from this company or category.