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Sobre este puesto de Professional Services Data Specialist en Facilities Management Express

Facilities Management Express · Remoto · Columbus, Ohio, United States

Do you get a little thrill from turning a messy spreadsheet into something clean? FMX is hiring a Data Specialist for our Professional Services team.

Our field assessors visit schools, campuses, and facilities to document every piece of equipment, building, and condition rating they find. That data comes back raw. You’ll make it accurate, structured, and ready for customers inside the FMX platform. Your work feeds directly into the Facility Condition Assessments (FCAs) and capital plans our customers use to make big decisions about their buildings.

Most of your time (about 95%) goes to hands-on data work on live customer projects:

  • Taking field data from intake to import: equipment inventories, building and space data, condition ratings, photos, and deficiency records.
  • Cleaning and mapping data to FMX’s schema using Excel, Google Sheets, Power Query, AI tools, and the templates our Data Automation Specialist builds.
  • Catching what the tools miss. You’ll validate everything before it goes live, and you’ll flag what you can’t verify instead of guessing.
  • Working with the assessment team to sort out gaps, duplicates, and inconsistencies from the field.
  • Uploading to FMX and confirming the imported records match the source data.
  • Juggling several FCA projects at once and keeping our Program Manager and project leads updated on progress, blockers, and deadlines.
  • The other 5% goes to making the process better: keeping SOPs and checklists current, spotting repetitive steps worth automating, and trying new tools, AI included, to work faster and more accurately.

You’ll work closely with

  • Our Data Automation Specialist, who builds the tools you’ll use (and the ones you’ll suggest).
  • Our Program Manager, who sets priorities and deadlines across the FCA portfolio.
  • Teammates in Professional Services, Customer Success, and Product.

Requirements

Qualifications:

  • Have 1-3 years of experience working with data, in a role like Data Analyst, Technical Support, Operations, or Customer Success, ideally at a tech or SaaS company. Equivalent hands-on experience counts too.
  • Are seriously good in Excel and Google Sheets: lookups, pivot tables, Power Query, cleanup. You’re comfortable with CSV and JSON.
  • Use AI tools regularly and know how to prompt an LLM to format, categorize, and clean data.
  • Sweat the details and can keep several projects moving without missing deadlines.
  • Know the difference between a value you can derive and one you’re guessing at, and you always flag the guess.
  • Write clearly enough that someone else can follow your steps, and you can explain a data problem to someone who isn’t a data person.
  • Like learning new things. You’ll be reading equipment nameplates, model numbers, and spec sheets until they make sense.

Bonus:

  • A degree in information systems, data analytics, business, or a related field (or equivalent experience).
  • Familiarity with CMMS data, facility equipment, FCAs, or building systems.
  • Basic SQL or light scripting (Python, JavaScript, etc.). It’s not required, but you’ll go further faster with it.
  • Experience with Zapier, Make, or AI mapping tools.

The hiring process for this role:

  • Apply! Submit your resume and answers to the application questions below via the Workable portal.
  • Phone screen with People Ops: A 30-minute conversation to review your background and experiences, discuss the culture at FMX, and ensure that you understand the general expectations for the role. Also, a great time for you to ask questions about compensation, benefits, etc.
  • Hiring manager conversation: A 60-minute conversation with the hiring team. Be prepared to discuss your background as well as what you’re looking for in your next role and what direction you see your career path taking. Also, this is a great time for you to ask questions about the expectations for this role, team culture, etc.
  • Final Interview: A 45-60 minute peer interview with key teammates that you’ll be working with on a daily basis.
  • Offer & Onboarding: Candidates who receive an offer will be required to complete a background check prior to onboarding. New hires are also expected to work onsite at our Columbus, OH office during their first week to complete onboarding and connect with the team in person.

Benefits

Why FMX?

  • You'll make a big impact: You'll have significant influence over the direction of our product and the future of our company.
  • Competitive benefits: 100% company-paid health, dental and vision insurance.
  • Work from home: At FMX we are remote first, but you're welcome to use our office as you need. We have one all-company event a year to ensure that you can put a face to that name and establish high-trust relationships with your teammates and co-workers. When you're in the office, you can take advantage of our free snacks, beverages, and office kegerator.
  • Home office stipend: We'll give you everything necessary to do your job (company sponsored laptop, headset, etc.). We will also provide up to $500 to help with equipment, furniture and accessories. You will also get $60/month toward your home internet connection.
  • Generous PTO and UTO (unplanned time off) policies: If you're sick, why should that cut into your vacation time?
  • Enjoy flexible working hours: Have a dentist appointment at 8:30 AM? Need to tack on an extra 15 minutes at lunch to squeeze in that workout? As long as you're getting your work done then our working hours are flexible.
  • You can wear jeans and tees: Feel free to keep it casual, we do.
  • You'll enjoy a collaborative culture and a close-knit team: We're a team of hard-working, high-fiving, friendly folks. We take collaboration, transparency, continuous improvement, and work/life balance seriously.

Compensation:

  • The base salary for this position is expected to be $60,000. There is also bonus potential, bringing on target earnings to $63,00 annually.
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