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Database & Design Analysis Engineer IV (REF30793T)

  • Ann Arbor, Michigan, United States
  • Domino's Pizza LLC

About Us

Domino’s Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we’re a reshaped, reenergized brand of honesty, transparency and accountability – not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to ‘deliver the dream’ to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That’s just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you’d like to be a part of, consider joining our team!

Job Details

Regularly consult with internal business partners and provide actionable insights through creative use of data collection, data wrangling and engineering, and storytelling. Tell stories leveraging data, tools, and insights to fuel growth and efficient operations. Root cause business questions, translate to available data streams, and develop tools that will answer what happened, why it happened, and what will happen if. Find and evangelize important Key Performance Indicators (KPIs). Develop prescriptive insight tools to support internal stakeholders (Operations, Supply Chain, Finance, HR, etc.) enabling them to make better, faster, data-driven decisions. Estimate effort and support project scoping. Mentor junior talent, and train and educate customers and partners. Contribute to software development lifecycle (SDLC) patterns.


Qualifications: Bachelor’s degree or equivalent in Computer Science, Information Technology, Electrical Engineering, Mathematics, Statistics, Data Science or related quantitative field of study and 7 years of progressive experience in the job offered defined as Data Intelligence, Business Intelligence or any combination thereof.
Applicants must have demonstrated experience with the following: 

1)    relational DBMS technology;
2)    data wrangling with SQL, pandas, or dplyr;
3)    data engineering for performance (including clustered- and non-clustered indexes, CCIs, partitions, segment elimination, views, SSAS, or distribution keys);
4)    at least one data visualization platform for Business Intelligence; 
5)    version control tools; 
6)    scripting languages (including python, R, and shell scripting) for automation;
7)    analyzing data trends for use in reports to guide decision making; and
8)    developing action plans based on business requirements analysis and compliance needs.

*Hybrid in-office / remote position*

Additional Information

All your information will be kept confidential according to EEO guidelines.