Sr Data & Insights Analyst - Data Operations

MoneyGram is a global payments network that helps people move money across borders through digital and omnichannel services. The Senior Data & Insights Analyst will support product and engineering teams with data-driven insights, experimentation, reporting, and analytics automation to inform product strategy and improve customer experience.

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

Requirements:

• 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
• 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
• A passion for evolving products and using data to enhance the customer experience is essential
• Bachelor's or equivalent practical experience in analytics
• Familiarity with analytics programming is a plus
• Global experience and the ability to shape insights for a global audience is highly valued
• 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