Head of Business Intelligence and Data Engineering The Kraft Heinz Company
Chicago, IL

Job Description

Kraft Heinz, the company

As one of the world's largest food and beverage companies, we are proud to spark joy around mealtimes with a global portfolio of more than 200 brands. Some are iconic master brands like Heinz, Kraft and Planters. Others are fast growing new sensations that defy status quo like DEVOUR and Primal Kitchen. No matter the brand, we are united under one vision: To Be the Best Food Company, Growing a Better World. Bringing this vision to life are our 36,000+ teammates around the world, making food people love. Together, we help provide meals to those in need through our global partnership and commitment with Rise Against Hunger. And we also stand committed to sustainability, and the health of our planet and its people.Every day, we are transforming the food industry with bold thinking and unprecedented results. If you're passionate like us -- and ready to create the future, build on storied legacy, and participate as a conscientious global citizen -- there's one thing to do: join us.

Our culture of Ownership, Meritocracy and Collaboration

We're not afraid to think differently. Embrace new ideas. Dream big. It all comes down to the way we empower our people to own their work. It's true: Our employees are our competitive advantage. As part of the Kraft Heinz family you're supported to grow and achieve. You're recognized and rewarded for outstanding performance at every level. You're given the opportunity to leave your mark and build legacies. But you won't do it alone. This is where our values and teamwork thrives and collaborative spirit fuels every day.

Job Description

EMPLOYER: Kraft Foods Group Brands LLC

POSITION: Head of Business Intelligence and Data Engineering

DUTIES: Responsible for leading the US Business Intelligence engineering team to build out all front-end analytics tools and models that the US business units will use. Responsible for leading the US Data Engineering team in building and maintaining a data warehouse for all US business units, and works closely with both IT and the business units to create and maintain this data warehouse. Specific duties include the following: Lead and grow the Business Intelligence and Data Engineering function for the United States; Directly manage and develop a team of 3 data engineers, and 3 business intelligence engineers; Serve as subject matter expert and team lead of the data engineering team and business intelligence engineering team; Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, and dashboards to support analytical and business needs; Use analytical and statistical rigor to answer business questions and drive business decisions; Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting; Recognize and adopt best practices in reporting and analysis, including data integrity, test design, analysis, validation, and documentation; Troubleshoot operational data-quality issues; Apply broad knowledge of technology options, technology platforms, design techniques and approaches across the data warehouse life cycle phases to design an integrated, quality analytics service to address business requirements, including SAP, Hadoop, and other cloud based products, as well as front end tool options like tableau, excel, and other BI tools; Design, develop and implement the technology infrastructure for all the components of an analytics platform; Ensure completeness and compatibility of the technical infrastructure to support system performance, availability and architecture requirements; Design and plan integration for all data warehouse technical components; Manage data design, data extracts and transforms, data quality monitoring, enhancements and ongoing support; Develop implementation and operation support plans.

REQUIREMENTS: Bachelor of Science degree (or foreign equivalent) in Mathematics, Information Systems, Engineering, Statistics, or a directly related field and four (4) years of experience in a related occupation involving business intelligence / data analysis. Previous work experience and/or academic coursework must have included: At least four (4) years of Data Warehouse experience as a Business Intelligence Engineer, Data Analyst, Data Engineer, or related role using Oracle, Redshift, PostgreSQL, or similar data warehouse software; At least three (3) years of experience in advanced Tableau development, including development of Tableau dashboards and driving leadership adoption; At least two (2) years of experience with cloud technology such as AWS and Azure, including shell scripting, copy command, and writing and executing scripts in a Unix shell environment; At least two (2) years of experience in mentoring and managing other Data Engineers and ensuring data engineering best practices are being followed; Any experience with coding for machine learning techniques using open source packages in either R or Python; Any experience with large scale data transformation using Hadoop, Hive, or similar Big Data technologies; Demonstrated proficiency in at least one modern programming language (Python, R, Ruby, Scala, or Java); Any experience with SQL, data modeling, and ETL development.

JOB SITE: Aon Center, 200 E. Randolph Street, Chicago, IL 60601

Location(s)Chicago/Aon CenterEqual Opportunity Employer-minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity