BI Engineer

As a BI Engineer at Fortune Brands Innovations, Inc., your key responsibilities will include designing and implementing data solutions using SQL and ETL tools, gathering requirements to define data models, optimizing database structures for performance, and creating insightful reports and dashboards for stakeholders. You'll lead projects in data profiling and cleansing to ensure high-quality, actionable insights that drive business decisions.

To qualify as a BI Engineer at Fortune Brands Innovations, Inc., you need a Bachelor's or Master's degree in a relevant field like Computer Science or Data Science, along with at least 3 years of experience in BI engineering or similar roles. Proficiency in SQL and familiarity with BI tools such as Tableau or Power BI are essential, as are strong analytical skills and attention to detail in data quality and accuracy.

At Fortune Brands Innovations, Inc., the BI Engineer role operates on a hybrid model, where employees work in the Deerfield, IL office three days a week (Tuesday, Wednesday, and Thursday). This arrangement allows for a flexible work-life balance, with Mondays and Fridays offered as optional remote workdays, giving you the best of both worlds.

The BI Engineer position at Fortune Brands Innovations, Inc. emphasizes proficiency in SQL for database management, ETL tools for data transformation, and BI platforms like Tableau or Power BI for data visualization. Familiarity with relational databases, data modeling, and data warehousing concepts will also give you an edge in this role.

As a BI Engineer at Fortune Brands Innovations, Inc., you will work on diverse projects that include optimizing database structures, developing comprehensive reporting solutions, and modeling data to support various business initiatives. You'll be involved in creating statistical models and predictive analytics, thereby ensuring that data governance practices are adhered to across the organization.

In my previous roles, I have developed a strong proficiency in SQL, using it extensively to query databases and generate reports. In the BI Engineer role, I plan to leverage my SQL skills to analyze complex datasets, optimize queries for performance, and ensure data integrity, ultimately delivering insights that support business decisions.

I have worked with several BI tools, including Tableau and Power BI. With Tableau, I designed interactive dashboards that helped stakeholders visualize data effectively. My experience involves creating reports, developing data models, and ensuring that the insights generated drove strategic decision-making.

To ensure data accuracy in my BI projects, I advocate for robust data validation and cleansing processes. I regularly perform data profiling, identify anomalies, and collaborate with data engineering teams to resolve quality issues. By prioritizing detailed documentation and establishing data governance practices, I maintain high standards of data integrity.

In my previous role, I managed multiple BI projects concurrently by employing a strategic approach to prioritize tasks based on urgency and stakeholder impact. I utilized project management tools to track progress and deadlines, held regular check-ins with team members, and adjusted timelines when necessary to ensure that all projects met their goals while maintaining quality.

When communicating complex data insights to non-technical stakeholders, I focus on simplifying the information without compromising accuracy. I use visual aids, such as charts and dashboards, to present findings clearly and concisely. Additionally, I tailor my language to their level of understanding and provide context to help them grasp the implications of the data.

I stay up-to-date with the latest trends in BI and data engineering by participating in online courses, attending industry conferences, and reading relevant publications. I also engage with online communities and forums where professionals discuss emerging technologies and best practices, ensuring that my skills remain current and applicable in a rapidly evolving field.

I have extensive experience with ETL processes, having developed workflows to extract, transform, and load data from various sources into data warehouses. To optimize ETL processes, I analyze performance metrics, implement parallel processing where possible, and periodically review and refine the transformation logic to enhance efficiency and reduce processing time.

In a previous role, I noticed trends in customer behavior through the analysis of sales data. By creating a predictive model, I was able to identify key factors influencing customer purchases, allowing the marketing team to tailor campaigns effectively. This led to a significant increase in customer engagement and sales.

My approach to data governance and compliance involves establishing clear protocols for data management, ensuring alignment with organizational standards. I work closely with IT and compliance teams to keep current with regulations and conduct regular audits of data practices to identify areas for improvement while actively promoting a culture of data responsibility within the organization.

I view feedback as a valuable opportunity for growth and improvement. When receiving feedback on my BI projects, I actively listen to understand the concerns and suggestions. I engage stakeholders in discussions to clarify their perspectives and adjust my approach accordingly to better meet their needs. This iterative process often results in enhanced project outcomes.