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# Data Analyst

- **Company:** Southtowne Plumbing, Heating, And Cooling, LLC
- **Location:** Dayton, OH, United States
- **Experience:** Experienced
- **Salary:** $52,235.0 - $62,907.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Spreadsheets, Databases, Data Structures, Pivot Tables
- **Published:** July 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b06ab36575d69254

## About the Role

You're genuinely obsessed with numbers and data. A messy spreadsheet bothers you. You love finding the pattern nobody else noticed, and you take real pride in data that's clean and can be trusted.

Required:

 * 2+ years in a data analyst, reporting, or operations analyst role
 * Advanced spreadsheet skills (Excel or Google Sheets) - formulas, pivot tables, clean data structure
 * Experience building reports and dashboards that non-technical people can actually use
 * Sharp attention to detail and a habit of double-checking your own work
 * A clear communicator who can explain what the numbers mean in plain English
 * Comfortable working on-site alongside our office and field teams

Pay: $52,235.01 - $62,906.68 per year

## Description

* Build and maintain the customer equipment database - install dates, equipment age, make/model and serial numbers, warranty status, and last service date for every customer
 * Track manufacturer recalls and safety notices - flag affected customers and generate outreach lists so the team can get ahead of problems instead of reacting to them
 * Design and maintain the tools we run on - a well-structured spreadsheet system or a simple app - and keep the data clean, current, and trustworthy
 * Own company KPIs - revenue, job counts, average ticket, maintenance-plan/membership numbers, technician productivity, callback rates, and whatever else drives the business
 * Turn numbers into decisions - build clear dashboards and reports that owners and managers can actually act on
 * Spot trends and surface opportunities - customers due for replacement, aging equipment, service gaps, and seasonal patterns


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