Sr Data & Insights Analyst - Data Operations
About The Position
MoneyGram is seeking a versatile product analytics team member to support its growing product and engineering teams. This role provides rapid, data-driven insights to inform experiments, feature development, product decisions, and product direction for the company’s core digital money transfer product. It is a full-time remote position open to candidates based in the US, with the opportunity to work globally and influence product strategy across multiple product and technology areas. The analyst will help rethink analytics, develop views of customer experience and product performance, support experimentation, and identify opportunities to improve experiences and drive growth. The role partners with teams across Product, Engineering, Data Engineering, Sales, Marketing, Finance, and regional and international functions. It also champions analytics tools and processes, including BI platforms, tag management, and API-based automation. MoneyGram is a global payments network serving customers across more than 200 countries and territories. It describes its culture as collaborative, tech-forward, growth-driven, and focused on measurable impact. The company is an Equal Opportunity Employer.
Requirements
- 3–5+ years of experience in analytics or a related quantitative field, with meaningful product analytics experience in a B2C or technology-driven company.
- Demonstrated ability to produce insights that directly inform product strategy and user experience.
- Strong hands-on data analysis skills.
- Proficiency in SQL for querying and manipulating large datasets.
- Strong experience with business intelligence and data visualization tools.
- Analytical thinking and understanding of experiment design, with the ability to translate findings into actionable recommendations and measurable results.
- Excellent communication and interpersonal skills, including the ability to explain complex data findings to technical and non-technical audiences.
- Ability to visually represent, document, and present findings to stakeholders.
- Comfort working cross-functionally and building relationships with stakeholders and technical partners across varying backgrounds.
- Ability to thrive in a fast-paced, high-growth, ambiguous environment.
- Bachelor’s degree or equivalent practical experience in analytics.
- Must meet MoneyGram’s stated US work authorization restrictions: the company does not sponsor US work authorization for this position, including H-1B, O-1, and TN, and does not hire F-1 candidates working on EAD for this position.
Nice To Haves
- Familiarity with analytics programming.
- Experience with Looker or similar BI platforms; Looker is preferred.
- Global experience and ability to shape insights for a global audience.
- Experience in direct-to-consumer online businesses.
- Fintech or financial services experience.
- Advanced degree or relevant industry certifications in analytics.
Responsibilities
- Rethink and evolve analytics practices, including exploring new approaches enabled by AI and emerging platforms.
- Develop analytics and product metrics that describe customer experience and product performance.
- Support and guide experimental frameworks such as A/B tests, holdouts, and geo testing to measure the incremental impact of product presentation and feature releases.
- Partner with Product and Engineering to generate data-driven insights that accelerate product performance and growth.
- Organize data into cohorts and measure cohort performance so stakeholders can assess feature and functionality rollouts.
- Analyze partner and customer behavior and pain points to identify opportunities to improve the experience.
- Collaborate with Product, Sales, Marketing, Finance, and regional and international teams to align analytics initiatives with business goals.
- Use data to advise on go-to-market strategies for product launches and identify growth opportunities and solutions to business challenges.
- Work with Product, Engineering, and Data Engineering to implement and use analytics platforms, BI tools, tag management, and API-based automation.
- Monitor trends and emerging technologies in product analytics and identify ways to improve analytics capabilities and methodologies.
Benefits
- Remote-first flexibility
- Generous paid time off
- 13 paid holidays
- Medical, dental, and vision insurance
- Life, disability, and other benefits
- 401(k) with competitive employer match
- Community service days
- Generous parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
