Business Intelligence Analyst

Summary

Join The Motley Fool's Business Intelligence team as a data scientist or analyst to leverage data and analytics for impactful business decisions. You will collaborate with various teams, translating business strategies into data initiatives, providing data-informed recommendations, and monitoring key performance indicators. Responsibilities include analyzing large datasets, developing insightful reports and dashboards, and communicating complex data clearly. The ideal candidate possesses 3-5 years of relevant experience, strong analytical and technical skills (including SQL and Python), and experience with data visualization tools. The position offers a flexible, remote work environment, generous parental leave, stock investment options, and a comprehensive compensation package.

Requirements

• Minimum 3-5 years of collaborative data analytics experience delivering insights directly to key stakeholders
• Subscription marketing or direct response marketing analytics experience (affiliate marketing helpful)
• Understand the basics of affiliate marketing & financial products
• Knowledgeable in reporting and data visualization tools like Tableau, Thoughtspot or Power BI
• Experience handling large volumes of Google Analytics web data and email data
• Experience with Google Analytics & advertising platform tracking (UTMs, offline conversions, etc..)
• Intermediate to advanced technical data skills including: SQL
• Statistical testing and experiment design (A/B testing)
• Bachelor's degree in Data Science, Business, Marketing or a related field preferred
• Minimum of 3-5 years of experience in data analytics, business intelligence, or data science. Specific experience using data to inform business decisions that have a measurable impact on business growth
• Experience influencing data-informed marketing decisions, improving customer engagement, driving growth in acquisition-related metrics
• Data Storytelling to deliver clear, actionable insights
• Proficiency in SQL for data querying and manipulation

Responsibilities

• Collaborate and consult with business teams to understand their business strategy, economics, goals, and translate them into data initiatives
• Provide data-informed recommendations with a quantifiable value, to improve marketing campaigns, engagement and member experience
• Monitor key metrics and performance indicators and develop strategies to create meaningful impacts in business performance
• Analyze large datasets (hundreds of thousands to millions of records) to derive meaningful insights
• Perform exploratory data analysis to discover new insights and inform strategic initiatives
• Develop and maintain dashboards and reports that provide data insights to stakeholders
• Communicate complex data insights in a clear and actionable manner
• Proactive reporting that solves reoccurring stakeholder problems
• Data QA and collaboration with Data Engineering for data quality

Preferred Qualifications

• Programming experience with Python
• Additional data-related training or degrees
• Advanced programming language skills, preferably Python
• Ability to interpret existing complex Python code and SQL scripts
• Github workflow experience
• Data visualization tools such as Tableau, Thoughtspot, PowerBI or similar
• Statistical experiment design and testing including inferential statistics
• Continuous learner keeping up with the latest technical trends in data science

Benefits

• Flexible, remote work environment
• No “vacation policy”
• Generous fully-paid parental leave
• $1,000 annually to invest in stocks of your choice
• Super low premiums for medical, dental, and vision coverage
• Comprehensive compensation package, including company equity