Note: The job is a remote job and is open to candidates in USA. MoneyGram is a global payments network built to move money across borders with speed, simplicity and trust. They are looking for a Senior Data Analyst to rethink analytics, drive customer experience insights, and collaborate with cross-functional teams to enhance product performance.
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. Drive a deep understanding of the impact of product experimentation and development on customers and partners
- Insights & Reporting: Analyze partner, customer, and enterprise data to extract actionable insights and identify trends. Develop key visual representations of data related to company 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
- Analytical thinker with a detailed understanding of statistical analysis and experiment design (e.g. hypothesis testing, A/B and multivariate experiments, regression analysis)
- Excellent communication and interpersonal skills
- Ability to distill technical complex data findings into clear, compelling narratives for both technical and non-technical audiences
- Comfortable working cross-functionally and with stakeholders
- Thrives in a fast-paced, high-growth and ambiguous environment
- Global experience and the ability to shape insights for global audience is highly valued
- Bachelor's or Master's degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, etc.) or equivalent practical experience
- Familiarity with analytics programming (Python and/or R for statistical analysis) is desirable
- Strong Experience with business intelligence and data visualization tools, Looker preferred, or similar BI platforms
- Experience in direct-to-consumer businesses is nice to have; fintech or financial services experience is a strong plus
- An advanced degree or relevant industry certifications in analytics/data science 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