Senior Business Intelligence Engineer

🕒 June 23

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The Motley Fool

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1993

💸 Finance

📱 Media

📚 Education

💰 $25M Private Equity Round on 2009-11

Finance • Media • Education

The Motley Fool is a financial services company founded in 1993 by brothers Tom and David Gardner. It aims to make the world smarter, happier, and richer by helping millions of people attain financial freedom. The Motley Fool offers premium investing solutions, free market analysis on its website Fool. com, personal finance education, podcasts, and manages the non-profit Motley Fool Foundation. The company provides guidance on stock market news, investing strategies, retirement planning, and personal finance products, striving to empower investors through refreshing, engaging, and fun financial content.

📋 Description

• Serve as a senior BI partner for the Product team • Collaborate and consult directly with business teams • Design, build, and maintain scalable data pipelines and transformation layers • Develop and maintain data marts and self-serve tooling • Partner with analysts and product managers to support A/B testing frameworks • Monitor data pipeline health by identifying data quality issues • Work closely with data governance and data engineering • Apply ML engineering practices to productionize predictive models • Champion engineering best practices including peer code reviews

🎯 Requirements

• 7+ years of experience in data science, analytics engineering, or business intelligence engineering • Advanced proficiency in SQL • Deep expertise in data transformation frameworks such as dbt • Strong experience with cloud data warehouses (e.g. Snowflake, BigQuery) • Experience building and maintaining ELT/ETL pipelines using tools like Airflow, Prefect, dbt, or similar • Proficiency in Python for data pipeline development • Experience with BI and visualization tooling such as ThoughtSpot, Tableau, Looker, or Power BI • Experience with Git-based workflows, CI/CD for data pipelines, and Jira • Excellent communication and translation skills • Education: Bachelor's degree, preferably in computer science, data science, engineering, statistics, or a related field.

🏖️ Benefits

• Health insurance • 401(k) • Remote work options • Flexible work hours