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# Data Analyst

- **Company:** Hydrojug, Inc.
- **Location:** Ogden, UT, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Analysis of Variance (ANOVA), BigQuery, SQL Databases, Tableau (Software), Looker Analytics
- **Published:** September 21, 2026
- **Apply:** https://www.disabledperson.com/jobs/75351888-data-analyst

## About the Role

* 3-5 years in a data analyst, FP&A analyst, or financial analyst role with a strong analytics component
 * Proficiency in SQL (BigQuery preferred); able to write and optimize queries independently
 * Experience producing brand- or segment-level P&L reporting, ideally in a multi-channel retail or ecommerce environment
 * Familiarity with FP&A workflows: actuals vs. budget, variance analysis, rolling forecasts
 * Working knowledge of inventory accounting concepts (COGS, landed cost, aged inventory)
 * Experience with Looker, Tableau, or a comparable BI tool
 * Strong attention to detail and a habits-of-accuracy mentality - Finance data errors have real consequences
 * Clear communication with Finance stakeholders; comfortable presenting findings to the CFO

## Description

This is the dedicated data analyst seat for Finance. You will partner daily with CFO Aaron Davis and the Finance team (Russ, Trent) to deliver brand-dimensioned reporting, FP&A support, and inventory accounting data inputs. Finance has historically been under-served by data - this role exists to fix that. You will work within the BI & Data team (reporting to the Data Lead) and be the Finance team's primary analytics resource.

Responsibilities

 * Brand-Dimensioned Reporting - Build and maintain P&L views segmented by brand (HydroJug, Acta, Puressentials); keep Finance operating on current numbers

 * FP&A Support - Deliver actuals, variance analysis, and forecast inputs on cadence; support budgeting cycles with data extracts and model-ready outputs

 * Inventory Accounting Inputs - Produce inventory valuation, COGS, and aged-inventory reports that feed accounting entries

 * Data Quality for Finance - Partner with the Data Quality analyst to ensure Finance-critical data is validated, documented, and trustworthy

 * Self-Serve Enablement - Build Finance-facing dashboards in Looker/Tableau so the team can pull their own numbers between reporting cycles

 * Ad Hoc Analysis - Handle Finance's one-off data requests; translate business questions into SQL queries and structured outputs


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