Insurance Analytics & AI-Driven Business Analyst II

RiverSource

Charlotte (NC)

On-site

USD 67,000 - 92,000

Full time

2 days ago
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Benefits offered by this job

Health, dental and life insurances
401(k)
Vacation time
Sick time

Job summary

RiverSource is seeking a Business Analyst II focused on Insurance New Business and Underwriting. You will drive analytics, automation, and AI-enabled capabilities, partnering across business, technology, data, risk, and leadership to turn priorities into scalable solutions.

The role offers exposure to enterprise stakeholders and opportunities to influence process improvement. You will develop KPIs and dashboards, analyze data trends, and support governance, testing, and adoption of model-enabled

Qualifications

  • 3–5 years of experience in business analysis, data analytics, reporting, or related transformation.
  • Bachelor's degree or equivalent in business, MIS, mathematics, economics, data science, CS.
  • U.S. work authorization without visa sponsorship.

Responsibilities

  • Conduct business analysis activities, including requirements gathering and testing.
  • Structure ambiguous problems and help prioritize work by value, feasibility, risk.
  • Develop dashboards and KPI reports for leadership visibility.
  • Support AI/ML initiatives with governance, testing, and adoption activities.
  • Collaborate with underwriting, operations, tech, data, risk, and product partners.

Skills

Power BI
Tableau
Amazon QuickSight
SQL
Python
Snowflake
Dataiku
Automation
Artificial intelligence
Stakeholder management
Analytical thinking

Education

Bachelor's degree or equivalent

Job description

RiverSource is seeking a Business Analyst II focused on Insurance New Business and Underwriting. You will drive analytics, automation, and AI-enabled capabilities, partnering across business, technology, data, risk, and leadership to turn priorities into scalable solutions.

The role offers exposure to enterprise stakeholders and opportunities to influence process improvement. You will develop KPIs and dashboards, analyze data trends, and support governance, testing, and adoption of model-enabled

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