Business Intelligence Analyst
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Job Description
Business Intelligence Analyst conducting complex data analyses for The Motley Fool, translating insights into strategic recommendations. Collaborating with teams to optimize customer lifetime value and revenue growth.
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
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.
- 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.
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