Sr Data Analyst

MoneyGram•Dallas, TX

18d•Remote

About The Position

At MoneyGram, we're combining the strength of a trusted global brand with the agility of a tech-forward, growth driven culture. With 80+ years of experience and a presence in more than 200 countries and territories, we've built a foundation of stability and trust to help millions of people around the world send funds quickly, securely, and affordably. We're looking for bold thinkers, builders, technologists, and sellers who want real ownership of their work, thrive in collaborative environments, and are energized by solving complex challenges. Here, you'll have the opportunity to make a measurable impact - fast. If you're eager to shape the future of cross-border payments and financial services, join us as we transform how the world moves money. We are seeking a versatile data analytics team member to support our growing data and analytics initiatives in the areas of Finance, Product, and Retail. In this role, you will support the MoneyGram organization and drive rapid, data-driven insights to help drive key business decisions. This is a full-time remote position open to candidates based in the US or Canada, offering the opportunity to work globally and influence product strategy across multiple areas of the product and technology offerings. MoneyGram is in a period of rapid transformation through its re-founding. Examples of companies who successfully re-founded themselves are Microsoft, Apple, and Uber. We are looking for re-founders who can step into MoneyGram and help drive a fundamental reinvention of our strategy, culture, and ways of working while staying true to our mission. MoneyGram is a PE-backed private company building towards a near-term IPO.

Requirements

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). Able to quickly uncover insights from data and use them to drive actionable recommendations and measurable results.
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 – you can build strong relationships with stakeholders, team members, and technical partners and have 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.
A passion for evolving products and using data to enhance customer experience is essential.
Bachelor’s or Master’s degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, etc.) or equivalent practical experience.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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
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.