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Professional Services Data Specialist - FMX

Do you get a thrill from turning messy spreadsheets into clean, structured data? FMX is hiring a Data Specialist for our Professional Services team.

Our field assessors visit schools, campuses, and facilities to document equipment, buildings, and condition ratings. You will make that raw field data accurate, structured, and ready for customers inside the FMX platform. Your work feeds directly into Facility Condition Assessments (FCAs) and capital plans that customers use for major facility decisions.

Responsibilities

Hands-on Data Work (95%)

  • Field Data Import: Take raw field data (equipment inventories, space data, condition ratings, photos, deficiency records) from intake through import.
  • Data Cleaning & Mapping: Map data to FMX's schema using Excel, Google Sheets, Power Query, AI tools, and specialized data automation templates.
  • Quality Assurance: Catch what automation tools miss, validating records before they go live and flagging unverified entries.
  • Assessment Team Support: Work directly with assessors to resolve gaps, duplicates, and inconsistencies from the field.
  • Platform Uploads: Upload processed datasets to FMX and verify that imported records match source files.
  • Project Management: Manage multiple FCA data projects concurrently, communicating progress, blockers, and timelines to project leads.

Process Improvement (5%)

  • Keep SOPs and checklists up to date.
  • Identify repetitive workflow steps for automation.
  • Test new tools and AI technologies to increase speed and precision.

Team Collaboration

  • Work closely with our Data Automation Specialist on tooling and workflow improvements.
  • Coordinate with our Program Manager on FCA portfolio deadlines and priorities.
  • Partner with cross-functional teams in Professional Services, Customer Success, and Product.

Qualifications

  • 1–3 years of data experience in roles such as Data Analyst, Technical Support, Operations, or Customer Success (tech/SaaS background preferred).
  • Advanced spreadsheet skills in Excel and Google Sheets (lookups, pivot tables, Power Query, data cleanup, CSV/JSON handling).
  • AI Tool Proficiency: Experience using LLMs to format, categorize, and clean datasets.
  • Attention to Detail: Ability to manage multiple projects simultaneously without missing deadlines or compromising accuracy.
  • Data Integrity: Deep understanding of derived vs. assumed values, with a rule-based commitment to flagging unverified data.
  • Communication Skills: Strong written communication for technical documentation and explaining data issues to non-technical stakeholders.
  • Curiosity & Technical Aptitude: Eagerness to learn technical building equipment specs, nameplate data, and facility management concepts.

Bonus Qualifications

  • Degree in Information Systems, Data Analytics, Business, or a related field.
  • Familiarity with CMMS data, facility equipment, FCAs, or building systems.
  • Basic SQL or light scripting (Python, JavaScript, etc.).
  • Experience with automation tools like Zapier, Make, or AI mapping utilities.

Hiring Process

  1. Application Review: Submit your background information via the application portal.
  2. People Ops Phone Screen (30 mins): Initial discussion covering culture, background, and expectations.
  3. Hiring Manager Interview (60 mins): In-depth conversation regarding team scope, career goals, and role requirements.
  4. Peer Interview (45–60 mins): Interview with direct teammates.
  5. Offer & Onboarding: Successful candidates undergo a background check. Note: New hires complete their first week onsite at the Columbus, OH office for team connection and onboarding.

Compensation & Benefits

  • Base Salary: $60,000 base + bonus potential (on-target earnings up to $63,000 annually).
  • Health Coverage: 100% company-paid health, dental, and vision insurance.
  • Remote-First Work Environment: Work from home with access to the Columbus, OH office as needed.
  • Home Office Allowance: Company-sponsored laptop and headset, $500 home setup stipend, plus $60/month internet reimbursement.
  • Flexible Schedules & Paid Time Off: Generous PTO/UTO policy and flexible working hours.
  • Company Culture: Annual all-company retreat, casual dress code, and a highly collaborative team environment.

Timezone overlap

UTC-8–-4

Open to

US · Columbus · United States

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