[Hiring] Professional Services Data Specialist @Facilities Management Express

Role Description

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.
• 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.

Qualifications

• 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.
• Seriously good in Excel and Google Sheets: lookups, pivot tables, Power Query, cleanup. 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 always flag the guess.
• Write clearly enough that someone else can follow your steps, and 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.

Requirements

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

Benefits

• 100% company-paid health, dental and vision insurance.
• Remote first work environment with the option to use the office.
• Home office stipend of up to $500 for equipment, furniture, and accessories.
• $60/month toward your home internet connection.
• Generous PTO and UTO (unplanned time off) policies.
• Flexible working hours.
• Casual dress code.
• Collaborative culture and a close-knit team.

Company Description

You'll make a big impact: You'll have significant influence over the direction of our product and the future of our company.

The base salary for this position is expected to be $60,000, with bonus potential bringing on-target earnings to $63,000 annually.