Business Intelligence Analyst at Themotleyfool

Who are we?

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.

What does this team do?

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.

What will you do in this role?

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

What do you need to apply?

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

This role is ideal for someone who thrives in a fast-paced environment, is fluent in data, and enjoys turning complex information into clear, actionable insights that drive business growth.

Compensation:

Below is our target compensation range. While we are budget conscious, we’re also eager to find the right person for this role, so if your target is outside of this range, please don’t hesitate to apply and we’d be happy to have a conversation.

Hourly Pay Range

$55—$65 USD

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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

What do you need to apply?

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

This role is ideal for someone who thrives in a fast-paced environment, is fluent in data, and enjoys turning complex information into clear, actionable insights that drive business growth.

Compensation:

Hourly Pay Range

$55—$65 USD

Business Intelligence Analyst

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