Note: The job is a remote job and is open to candidates in USA. MoneyGram is a global payments network and financial technology company that enables secure money transfers across more than 200 countries and territories. The Senior Data & Insights Analyst will drive product analytics for its digital money transfer products by analyzing customer experience, product performance, and experimentation data. The role partners with product, engineering, and cross-functional teams to deliver actionable insights, reporting, automation, and data-informed growth strategies.
Responsibilities
- Analytics Re-Invention: AI has become the fundamental building block of many new platforms built in the last few years. You are willing to go beyond anything you've ever done before and rethink analytics from the ground up. "It's been done this way before" is not a benefit, but a defect
- Customer Experience and Product Performance: Craft and evolve the view of the customer experience through analytics and product metrics
- Experimentation & Optimization: Support and guide experimental frameworks (A/B tests, holdouts, geo testing, etc.) to measure the incremental impact of product presentation and feature releases. Partner with product and engineering to design data-driven insights that accelerate performance and growth. Provide stakeholders with the ability to measure the success of feature or functionality rollouts by pulling and organizing data into cohorts and measuring metrics based on cohort performance
- Insights & Reporting: Analyze and develop key insights into partner and customer behaviors and pain points to uncover opportunities for an improved experience
- Cross-Functional Collaboration: Collaborate closely with cross-functional teams — from Product, Sales, Marketing, Finance, and Regional/International teams — to align analytics initiatives with business goals. Use data to advise on go-to-market strategies for new product launches and to identify new growth opportunities and solutions to business challenges
- Technology & Automation: Champion best-in-class analytics tools and processes. Work with Product, Engineering, and Data Engineering to implement and leverage analytics platforms (BI tools, tag management, automation via APIs) that enhance product efficiency and scale. Stay abreast of industry trends and emerging technologies in product analytics, continuously seeking opportunities to improve our capabilities and methodologies
Skills
- 3–5+ years of experience in analytics or a related quantitative field, with meaningful focus on product analytics in a B2C or technology-driven company
- Demonstrated ability to drive insights that directly inform product strategy and user experience
- Strong hands-on skills in data analysis
- Proficiency in SQL for querying and manipulating large datasets
- Familiarity with analytics programming is a plus
- Strong experience with business intelligence and data visualization tools; Looker preferred, or similar BI platforms
- Analytical thinker with an understanding of experiment design
- Able to uncover insights from data and translate them into actionable recommendations and measurable results
- Excellent communication and interpersonal skills
- Ability to distill technically complex data findings into clear, compelling narratives for both technical and non-technical audiences
- Skilled at visual representation of insights, documenting, and presenting findings to stakeholders
- Comfortable working cross-functionally and with stakeholders across the organization
- Ability to build strong relationships with team members and technical partners and advise or partner with colleagues across varying backgrounds
- Thrives in a fast-paced, high-growth, and ambiguous environment
- Global experience and the ability to shape insights for a global audience is highly valued
- Bachelor's or equivalent practical experience in analytics
- Experience in direct-to-consumer online businesses is preferred
- Fintech or financial services experience is a strong
- An advanced degree or relevant industry certifications in analytics is a bonus
Benefits
- Remote first flexibility
- Generous PTO
- 13 Paid Holidays
- Medical / Dental / Vision Insurance
- Life, Disability, and other benefits
- 401k with competitive Employer Match
- Community Service Days
- Generous Parental Leave
Company Overview