Business Intelligence Analyst
About The Position
The Motley Fool is a purpose-driven financial services company on a mission to make the world smarter, happier, and richer. For 30 years we’ve been helping people make better investment decisions through transparency, education, and Foolish fun. We’re a fast-moving, collaborative team that values high-quality work, curiosity, and initiative. We care deeply about what we do, and we’re driven by the impact our work has on real people’s financial futures. Our Business Intelligence (BI) team functions as internal consultants, helping teams across the company make better decisions through data. We analyze business performance, uncover insights from complex datasets, and develop strategies that drive growth and optimization. We bridge the gap between data and strategy, translating numbers into actionable recommendations for stakeholders across the organization. Like detectives, we dig through data to find the stories that matter and communicate them clearly to drive meaningful business impact.
Requirements
- 2+ years of experience in business analysis, data analysis, data-informed decision-making, or strategy roles
- Bachelor's degree, preferably in computer science, finance, statistics, economics, or a related field
- Excellent communication and presentation skills, with the ability to translate complex data into clear insights for non-technical audiences
- Strong analytical and problem-solving skills with a proactive, consultative approach
- Proficiency in data visualization techniques and tools including Tableau
- Ability to extract, manipulate, and transform large datasets using Python and/or SQL
- Ability to work independently and manage multiple projects simultaneously
- Curiosity, creativity, and collaboration — always asking "why" and looking for the next big opportunity
Nice To Haves
- Experience or familiarity with financial services/investing, digital publishing, and/or subscription products industries
- Experience working directly with marketing stakeholders
- Master's degree or additional continuing education
- Experience working with web analytics platforms like Google Analytics
- Familiarity with ML/AI techniques including predictive models
- Experience with Jira/project management tools and Git-based workflows
Responsibilities
- Conduct in-depth analysis of ROI for various projects, including customer acquisition costs, lifetime value, and marketing campaign effectiveness
- Build and maintain relationships with senior analysts and key stakeholders to develop and implement strategies that optimize customer lifetime value and drive revenue growth
- Bridge the gap between finance and specific business teams by providing data-driven insights and data stories to support strategic decision-making
- Analyze and interpret large datasets to identify trends, patterns, and opportunities for improvement
- Develop and deliver presentations and reports to communicate findings and recommendations to senior leaders
- Collaborate with cross-functional teams to guide implementation of recommendations and track their impact on business performance
- Stay informed about industry best practices and emerging trends in data analysis and business strategy
- Work closely with Data Engineering to ensure data quality and champion best practices in data governance
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
251-500 employees
