Data Insights Strategist

3 weeks ago


Deerfield Beach, Florida, United States Fortune Brands Full time
Fortune Brands Innovations, Inc. is an industry-leading innovation company focused on creating smarter, safer and more beautiful homes and improving lives. Our driving purpose is that we elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too.

We are seeking a skilled Business Intelligence Data Engineer to join our team. As a key member of our Business Intelligence team, you will design, develop, and maintain data solutions that help the organization make informed decisions. You will work closely with stakeholders to understand their reporting and assessment needs and create BI tools that turn data into actionable insights.

The ideal candidate has 3+ years of experience in BI engineering, proficiency in SQL and ETL tools, and expertise with BI platforms like Tableau or Power BI. A Bachelor's or Master's degree in a relevant field is required, along with strong analytical skills, attention to data accuracy, and the ability to collaborate effectively with stakeholders.

This role will be a hybrid role working 3 days per week out of our Deerfield, IL HQ, using Monday and Friday as remote optional days.

The estimated salary for this position is $90,000 - $130,000, based on the location and industry standards. We offer comprehensive benefits, including robust health plans, a market-leading 401(k) program with a company contribution, product discounts, flexible time off benefits, inclusive fertility / adoption benefits, and more. Our portfolio of brands includes Moen, House of Rohl, Aqualisa, SpringWell, Therma-Tru, Larson, Fiberon, Master Lock, SentrySafe and Yale residential.

To succeed in this role, you will need:
  • Design and implement BI solutions using SQL, ETL tools, and data visualization platforms.
  • Gather requirements, define data models, and ensure data accuracy.
  • Optimize database structures, queries, and ETL processes for better performance.
  • Create and enhance user-friendly reports, dashboards, and data visualizations.
  • Collaborate with users to understand needs and provide self-service reporting tools.


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