[Remote] Senior Product Data Analyst
Note: The job is a remote job and is open to candidates in USA. MoneyGram is a company focused on providing financial services to underserved populations globally. The Senior Product Data Analyst will support data and analytics initiatives across Finance, Product, and Retail, driving insights to inform key business decisions and product strategy.
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
- Insights & Reporting: Analyze partner, customer, and enterprise data to extract actionable insights and identify trends. Develop key visual representations of data related to finance, sales, and/or product performance. Communicate findings clearly to team members, translating data into strategic recommendations for both technical and non-technical stakeholders
- Cross-Functional Collaboration: Collaborate closely with cross-functional teams – from Data, Analytics, Product, Sales, Marketing, Finance, and Regional/International teams – to represent and drive insights to business goals
- Technology & Automation: Champion for best-in-class analytics tools and processes. Work with Engineering, Data Engineering, and Analytics teams to implement and leverage analytics platforms (BI tools, tag management, automation via APIs) that enhance company insights. Stay abreast of industry trends and emerging technologies in product analytics, continuously seeking opportunities to improve our capabilities and methodologies
- Experimentation & Optimization: Provide the stakeholder with the ability to measure the success of feature or functionality roll-out by pulling and organizing the data into cohorts and measuring metrics based on cohort performance
Skills
- Strong hands-on skills in data analysis
- Proficiency in SQL for querying and manipulating large datasets
- Familiarity with analytics programming (Python or other) is a plus
- Strong Experience with business intelligence and data visualization tools, Looker preferred, or similar BI platforms
- Analytical thinker with a detailed understanding of data analysis and visualization
- Able to present data to stakeholders in a consumable way to drive key decision making
- Excellent communication and interpersonal skills
- Ability to distill technical complex data findings into clear, compelling narratives for both technical and non-technical audiences
- Skilled at visual representation of insights, documenting, and presenting with explanation to stakeholders
- Comfortable working cross-functionally and with stakeholders
- Can build strong relationships with stakeholders, team members, and technical partners
- Experience advising or partnering with various backgrounds across the organization
- Thrives in a fast-paced, high-growth and ambiguous environment
- Global experience and the ability to shape insights for global audience is highly valued
- Experience in finance related data analytics is desired
- Experience in fintech or financial services experience is a strong plus
- Bachelor's or equivalent practical experience in analytics
- An advanced degree or relevant industry certifications in analytics is a bonus
Company Overview
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