Business Intelligence Analyst
The Motley Fool
Job highlights
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 โvacation policyโ
- 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
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