Senior Business Analyst (On-site Work Schedule)

E-Commerce Addison, Illinois Fort Wayne, Indiana

Position at Parts Town

See What We’re All About

As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. We believe our team should be like family. Not like a second cousin, twice removed, but more like the family you choose to be with every day. First, you have to demonstrate our core values and keep safety as your #1 priority, that’s key. But we’re also looking for unique enthusiasm, high integrity, courage to embrace change…and if you know a few jokes, that puts you on the top of our list.

 

Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We’re more interested in passionate people with fresh ideas from different backgrounds. That’s what keeps us at the top of our game. We’re proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain’s Fast 50 list ten times. We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years.

 

If you’re ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let’s chat – Apply Today!

 

Perks

  • Parts Town Pride – check out our virtual tour and culture!
  • Quarterly profit-sharing bonus
  • Hybrid Work schedule
  • Team member appreciation events and recognition programs
  • Volunteer opportunities
  • Monthly IT stipend
  • Casual dress code
  • On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses
  • All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away – don’t worry, we’ve got you covered.

 

The Job at a Glance

The Senior Business Analyst, Product Data, is a highly technical and strategic role responsible for driving the evolution of our product data management systems and processes. This position will oversee the collection, creation, and maintenance of an industry-leading product data repository that enhances our self-service customer experience across websites and mobile apps. You will be at the forefront of implementing and optimizing data workflows, utilizing Python and advanced data tools to streamline data gathering, cleansing, and loading processes. Your work will directly impact on-site searchability, SEO positioning, and the overall digital buying experience. Additionally, you'll document processes and tools, ensuring that best practices are shared across the organization, and build innovative data-driven solutions to complex business problems. You will also contribute to the development and maintenance of codebases in GitLab, ensuring our product data systems remain robust, scalable, and secure.

 

A Typical Day

  • Lead the design and execution of advanced data workflows using Python to automate the collection, cleaning, and loading of product content, including manuals, models, and BoM data
  • Strategically categorize products and equipment into an evolving taxonomy, optimizing for searchability and customer navigation
  • Develop and maintain scripts in GitLab for the continuous integration and deployment of data processing pipelines
  • Collaborate closely with cross-functional teams, including Manufacturer Partnerships and IT, to ensure data integrity and alignment with supplier branding and vision
  • Analyze complex datasets daily to refine product attributes, descriptions, images, and specifications, ensuring accuracy and relevance
  • Document processes, tools, and methodologies used in data workflows, ensuring they are accessible for future reference and knowledge transfer
  • Build and implement data-driven solutions to address business challenges, leveraging your expertise in scripting, data analysis and eCommerce tools
  • Utilize advanced eCommerce tools such as Google Analytics, Hotjar, Mirakl, Hybris, Pimberly, and SQL to enhance the digital customer journey
  • Document "how-to" guides, workflows, and processes, ensuring comprehensive and accessible resources are available for current and future team members, facilitating knowledge transfer and maintaining consistency in best practices

 

To Land This Opportunity

  • You have 5+ years of experience in product master data management, with a proven track record of managing large-scale datasets in a digital commerce environment
  • You are proficient in Python for data manipulation, automation, and scripting, with experience maintaining codebases in GitLab
  • You obtain strong SQL skills for querying and managing large datasets
  • You have extensive experience with eCommerce platforms' back offices or PIM systems, particularly in a leadership or senior capacity
  • You are exceptionally analytical, with the ability to translate complex data into actionable insights and strategies
  • You possess experience in documenting processes, tools, and workflows, and sharing best practices across teams
  • You have proven ability to build and implement data-driven solutions to solve complex business problems
  • You are a collaborative team player with outstanding communication skills, fluent in English (both written and verbal).
  • You are familiar with tools like Google Analytics, Datasphere, Mirakl, Hybris, and Pimberly or their equivalents

 

About Your Future Team

Our Product Data team is an eclectic bunch who likes to have fun, eat and drink a lot of coffee (we are in the foodservice space after all). If you have a wealth of knowledge of pop culture, you like sci-fi, love red staplers or Hawaiian shirt day is your favorite day, you’ll fit in just fine…

 

Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.

 

We are an E-Verify employer.

For more information, please click on the following links:
E-Verify Participation Poster: English | Spanish
E-Verify Right to Work Poster: English | Spanish