Professional Services Data Specialist

FMX

. Process field data for live customer projects, including equipment inventories, building and space data, condition ratings, photos, and deficiency records .

Posted 11/12/2026full-timeColumbus • Ohio • United StatesJunior💰 $60,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong data management capabilities, including data processing, validation, and cleanup using Excel and Google Sheets. Proficient in collaborating across teams to enhance data accuracy and streamline processes while managing multiple projects effectively.

Highest-signal resume keywords

Data ProcessingExcel SkillsGoogle Sheets SkillsData ValidationProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleanupPower QueryCSV HandlingJSON HandlingBasic SQLPython ScriptingJavaScript Scripting

Soft Skills

Attention To DetailClear Written CommunicationProject Management

Tools & Technologies

AI ToolsZapierMakeFMX

Industry Keywords

Facility Condition AssessmentCMMS DataBuilding SystemsTechnical SupportData Analyst

Tech Stack

Tools & technologies

JavaScriptPythonSQL

About the role

Key responsibilities & impact

Process field data for live customer projects, including equipment inventories, building and space data, condition ratings, photos, and deficiency records
Clean and map data to FMX’s schema using Excel, Google Sheets, Power Query, AI tools, and templates
Validate data before import and flag information that cannot be verified
Work with the assessment team to resolve gaps, duplicates, and field inconsistencies
Upload data to FMX and confirm imported records match source data
Manage multiple Facility Condition Assessment projects simultaneously
Keep the Program Manager and project leads informed about progress, blockers, and deadlines
Maintain SOPs and checklists
Identify repetitive processes for automation
Test new tools, including AI, to improve speed and accuracy
Collaborate with the Data Automation Specialist, Program Manager, Professional Services, Customer Success, and Product teams

Requirements

What you’ll need

1-3 years of experience working with data in a role such as Data Analyst, Technical Support, Operations, or Customer Success, ideally at a tech or SaaS company
Equivalent hands-on experience counts
Strong Excel and Google Sheets skills, including lookups, pivot tables, Power Query, and data cleanup
Comfortable working with CSV and JSON
Regular use of AI tools and ability to prompt an LLM to format, categorize, and clean data
Strong attention to detail and ability to manage several projects without missing deadlines
Ability to distinguish derivable values from guesses and flag unverifiable information
Clear written communication and ability to explain data problems to non-data professionals
Willingness to learn equipment nameplates, model numbers, and spec sheets
Degree in information systems, data analytics, business, or a related field, or equivalent experience (bonus)
Familiarity with CMMS data, facility equipment, FCAs, or building systems (bonus)
Basic SQL or light scripting such as Python or JavaScript (bonus)
Experience with Zapier, Make, or AI mapping tools (bonus)
Required to complete a background check prior to onboarding
Expected to work onsite at the Columbus, Ohio office during the first week for onboarding

Benefits

Comp & perks

100% company-paid health, dental and vision insurance
Remote-first work arrangement
One all-company event a year
Free snacks, beverages, and office kegerator
Company-sponsored laptop and headset
Up to $500 home office stipend for equipment, furniture and accessories
$60/month toward home internet connection
Generous PTO and UTO (unplanned time off) policies
Flexible working hours
Casual dress environment
Collaborative culture and close-knit team
Significant influence over product and company direction
Bonus potential, with on-target earnings of $63,000 annually