Product Analyst, Digital Channels — Data-Driven Impact

Soteria Reinsurance Ltd.; Salt Lake City, Northern (UT, KY); Hybrid; USD 85,000 - 120,000; Full time

Job summary

Fidelity Investments in Salt Lake City seeks a Product Analyst for Digital Channels to turn ambiguity into clarity through data-driven analysis and strong collaboration across product, technology, and design teams.

The role emphasizes framing problems, validating ideas, and delivering high-quality digital experiences while aligning with regulatory and risk considerations. Onsite work is required as Fidelity transitions to a phased in model.

Qualifications

• Bachelor's degree or higher in a related field with 5+ years of analysis experience.
• Experience supporting digital products through discovery, launch and measurement.
• Strong fundamentals in requirements, user stories and acceptance criteria.

Responsibilities

• Bring evidence into product decisions using data, feedback, and operational insights.
• Frame problems as testable hypotheses and guide validation before build.
• Define success, measure results, and distinguish shipped work from solved problems.
• Translate needs into clear requirements, user stories, and acceptance criteria.
• Engage with Legal, Risk, and Compliance early to ensure integrity.
• Support backlog refinement, sprint planning, testing, and release readiness.
• Leverage AI tools to accelerate analysis and decision quality.

Skills

Business analysis

Data fluency

Excel/BI tools

Communication

Stakeholder management

Education

Bachelor's degree in a related field

Master's degree

Job description

Fidelity Investments in Salt Lake City seeks a Product Analyst for Digital Channels to turn ambiguity into clarity through data-driven analysis and strong collaboration across product, technology, and design teams.

The role emphasizes framing problems, validating ideas, and delivering high-quality digital experiences while aligning with regulatory and risk considerations. Onsite work is required as Fidelity transitions to a phased in model.