Product Data Analyst

Location

Fort Wayne, IN | United States

Job description

See What We’re All About

As the fastest growing distributor of foodservice equipment 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 foodservice equipment 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, fifteen 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 three consecutive years in 2020,2021, and 2022.

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
• 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 Product Data Analyst (Internally known as the Product Data Wizard) will be responsible for collection, creation and maintenance of an industry leading product data repository that helps drive a self-service customer experience on our websites and mobile apps. You will use tools and technologies to efficiently gather, cleanse and load product content including manuals, models and BoM data, categorization of products and equipment, and other relevant product information. The data you collect will helpdrive on-site searchability and improve our SEO positioning.

A Typical Day

• Collects and updates manufacturer’s models and associated model information such as manuals, images, and BoM data
• Categorizes Products and Equipment into relevant taxonomy categories
• Gathers product classification attributes to improve website refinements
• Optimizes short product descriptions to improve on-site searchability and SEO relevance
• Builds and audits microsite equipment and product catalogs catered toward strategic customer accounts
• Collaborate with the Manufacturer Partnership team to ensure data and branding reflect manufacturer and supplier’s vision
• Analyze data dailyregarding product attributesthat affect descriptions, images, specifications/features, and productreplacement or obsolescence
• Utilize numerous Ecommerce tools such as Google Analytics, Hotjar,Mirakl, Hybris, Pimberly and more to improve the customer’s digital buying experience

To Land This Opportunity

• You have experience with product master data management
• You have strong knowledge of Excel and analytical skills
• You are passionate and have a strong desire to learn and utilize Python and SQL
• Bonus points if you have experience with Ecommerce platform’sback office or PIM system
• You’re an all-star communicator and are fluent in English (both written and verbal)

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.

Job tags

Salary