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Sr Data & Insights Analyst - Data Operations

MoneyGram
Remote, USA
Full-time
Mid-Senior
Remote
Discovered 1 months ago
Product analyticsData analysisSQLBusiness intelligence and data visualizationLookerExperiment design and A/B testing

Full Job Posting

Role overview

Supports product and engineering teams with rapid, data-driven insights for experiments, features, and product direction.

Focuses on MoneyGram’s core digital money transfer product and product analytics.

Full-time remote role open to candidates based in the United States.

Responsibilities

  • Develop customer experience and product performance metrics.
  • Support A/B tests, holdouts, geographic tests, and other experiments measuring incremental product impact.
  • Organize data into cohorts and measure feature rollout performance.
  • Analyze customer and partner behavior and pain points to identify experience improvements.
  • Collaborate across Product, Sales, Marketing, Finance, and regional teams to align analytics with business goals.
  • Advise on go-to-market strategies, product launches, and growth opportunities.
  • Partner with Product, Engineering, and Data Engineering on analytics platforms, BI tools, tag management, and API automation.
  • Improve analytics processes and methods and monitor emerging product analytics technologies.

Requirements

  • 3–5+ years in analytics or a related quantitative field, with meaningful product analytics experience in a B2C or technology-driven company.
  • Strong data analysis skills and SQL proficiency for large datasets.
  • Strong business intelligence and data visualization experience; Looker or similar is preferred.
  • Understanding of experiment design and ability to turn data into actionable recommendations.
  • Excellent communication and stakeholder presentation skills for technical and non-technical audiences.
  • Bachelor’s degree or equivalent practical experience in analytics.

Preferred experience and skills

  • Direct-to-consumer online business experience is preferred; fintech or financial services experience is strongly valued.
  • Analytics programming familiarity is a plus; advanced degree or relevant analytics certifications are a bonus.
  • Global experience and ability to develop insights for a global audience are highly valued.

Benefits

  • Benefits include paid time off, 13 paid holidays, medical, dental, vision, life and disability coverage, 401(k) matching, community service days, and parental leave.

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