Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Partner with Finance, Accounting, and Revenue Operations to design and deliver Power BI analytics, semantic models, and decision support for forecasting, close, revenue, and spend analysis. Translate finance concepts into metrics, reconcile data across systems, collaborate with data engineering, and apply AI-assisted tools to automate and scale finance analytics for executives and business partners.
Top Skills:
AdaptiveAnaplanClaudeDaxMicrosoft CopilotNetSuiteOnestreamPower BISalesforceSnowflakeSQL
Information Technology • Consulting
Designs and develops Epic-based BI and analytics solutions from EHR data (Clarity, Caboodle, Registries). Builds ETL and data warehouse assets, creates self-service reports and visualizations (Tableau, Power BI), troubleshoots and maintains analytics, gathers requirements, mentors junior BI developers, and partners with data engineers and stakeholders to align solutions with architecture and workflows.
Top Skills:
Epic CaboodleEpic ClarityEpic CogitoEpic Data LinksEpic Extract FrameworkEpic RegistriesGoanywherePower BISnowflakeSQLSsisTableau
Fintech • Healthtech • Analytics
Founding sales-intelligence analyst building data models, scoring/prioritizing account opportunities, packaging analysis for non-technical stakeholders, presenting to sales leadership, and iterating with sales and operations to drive pipeline growth.
Top Skills:
CloudLlmsPythonSalesforceSQLStreamlit
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?
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
By applying on this site, you acknowledge that The Motley Fool will be collecting the personal data you provide for our recruiting purposes. Please see our Applicant Privacy Notice for additional information about how we process, transfer, and store your data, including where that data is stored, and about any additional privacy rights you may have based on your jurisdiction.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
