Business Intelligence Analyst

Who are we?

We are The Motley Fool a purpose-driven financial information and services firm with nearly 30 years of experience focused on making the world smarter happier and richer. But what does that even mean?! It means we’re helping Fools (always with a capital “F”) demystify the world of finance beat the stock market and achieve personal wealth and happiness through our products and services.

The Motley Fool is firmly committed to diversity inclusion and equity. We are a motley group of overachievers that have built a culture of trust founded on Foolishness fun and a commitment to making the world smarter happier and richer.  However you identify or whatever winding road has led you to us please don't hesitate to apply if the description above leaves you thinking 'Hey! I could do that!'

Are you excited to use data to unlock actionable high value business insights to help drive a growing business? Do you love working collaboratively with teammates to identify opportunities and solve business questions?

You might be a good fit if you:

• Consider yourself a scientist : Whether you have a formal background in data science or product or marketing analytics we’re looking for someone who can delve deep into large data sets to build clear compelling analyses that unlock creative tests and high-impact breakthroughs in our marketing initiatives.

• Are curious and love to learn : Do you take things apart to understand how they work? Do you thrive when you are learning something new every day? Great us too! Our ability to deliver actionable and useful insights for the organization requires that we understand the business that we are interested in learning about our customers and stay curious enough to uncover the stories buried in the data. We’re looking for someone with a proven ability to craft concise actionable analyses and reports that tell a story about a business area marketing campaign or customer segment.

• Collaborate and communicate effectively : Business intelligence Fools are like internal consultants. We help teams across the company do their jobs better by identifying opportunities and informing data driven decisions. Our analyses are only useful if we collaborate with teams and leaders and communicate the results clearly. While consulting background/experience is not a formal requirement we expect a consultative mindset and approach to working with stakeholders.

Overall Requirements:

• Minimum 3-5 years of collaborative data analytics experience delivering insights directly to key stakeholders

• Knowledgeable in reporting and data visualization tools like Tableau Thoughtspot or Power BI

• Intermediate to advanced technical data skills including:

  • Programming experience with python

  • SQL

  • Statistical testing and experiment design

  • Supervised machine learning methods and approaches; ML project deployment

  • Familiarity with common data science libraries (ex: scikit-learn pandas numpy)

• Subscription marketing or retention marketing analytics experience extremely desirable (A/B testing email marketing)

• Google Analytics experience is a plus

• Solid math chops is a plus

Detailed Responsibilities :

• Business Intelligence :

  • 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 product features engagement and member experience

  • Monitor key metrics and performance indicators and develop strategies to create meaningful impacts in business performance

• Data Analysis and Reporting :

  • 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

• Advanced Analytics and Data Science :

  • Utilize advanced analytics techniques to identify trends patterns and opportunities

  • Apply statistical methods and machine learning algorithms to solve complex business problems

  • Build predictive models to forecast business outcomes facilitate segmentation/targeting tactics and support business owner decision-making

  • Collaborate with data engineering and tech colleagues to automate and operationalize models

Detailed Qualification Requirements :

• Educational Background : Bachelor’s degree in Data Science Statistics Business 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 product development decisions improving customer engagement driving growth in retention-related metrics

• Technical Skills/Experience :

  • Data Storytelling to delivery clear actionable insights

  • Proficiency in SQL for data querying and manipulation

  • Advanced programming language skills preferably python

  • Data visualization tools such as Tableau Thoughtspot PowerBI or similar

  • Statistical experiment design and testing including inferential statistics

  • Supervised machine learning methods and approaches including linear algebra

  • ML project deployment and lifecycle management (Databricks experience strongly preferred)

  • Cloud Platform preferably AWS (Amazon Web Services)

  • Causal modeling experience a plus

  • NLP techniques/experience a plus

  • Continuous learner keeping up with the latest technical trends in data science

Please note no sponsorship is available for this position. You must reside in or be willing to relocate to one of these states for employment: California Colorado Florida Louisiana Maryland Massachusetts New Jersey New York North Carolina Oregon Pennsylvania South Carolina Tennessee Texas Virginia Washington DC and Wisconsin.

Below you’ll see a few of our perks but check out this site for the complete list:

• No “vacation policy” (not to be confused with a “No vacation” policy)

• Paid maternity paternity and pet-ernity leave

• $1000 to invest when you start

• Super low premiums for medical dental and vision coverage

• Comprehensive compensation package including company equity