Business Intelligence Analyst - Marketing

November 28

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Logo of The Motley Fool

The Motley Fool

investor advice • stock market news • premium subscriptions • stock rating service • marketing

501 - 1000 employees

Founded 1993

💸 Finance

📱 Media

📚 Education

💰 $25M Private Equity Round on 2009-11

Description

• We are The Motley Fool, a purpose-driven financial information and services firm focused on making the world smarter, happier, and richer. • On the Business Intelligence team, we strive to democratize data and deliver analytics that enable our business leaders to achieve our purpose. • We seek a strategic thinker with a keen ability to understand business, product, and marketing strategy as well as provide consultative marketing analysis. • 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. • Analyze large datasets (hundreds of thousands to millions of records) to derive meaningful insights. • Monitor key metrics and performance indicators and develop strategies to create meaningful impacts in business performance. • Communicate complex data insights in a clear and actionable manner.

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) • Programming experience with Python highly desirable • Educational Background: Bachelor's degree in Data Science, Business, Marketing or a related field preferred. Additional data-related training or degrees are a plus. • Professional Experience: 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. • Business Acumen: Experience influencing data-informed marketing decisions, improving customer engagement, driving growth in acquisition-related metrics • Technical Skills/Experience: • Data Storytelling to deliver clear, actionable insights • Proficiency in SQL for data querying and manipulation • 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 (*see our open states above) • No “vacation policy” (not to be confused with a “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

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