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Analytics Engineer

Job in Coppell, Dallas County, Texas, 75019, USA
Listing for: Vari
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Vari, originally known as Vari Desk®, started the standing desk revolution. Now in its 13th year, Vari’s mission is to create work spaces that elevate people. With millions of fans and a complete line of over 400 office furniture products in the market today, Vari is continuing to simplify and disrupt the office furniture industry by pioneering a direct B2C and B2B business model, reimagining how work spaces are defined, designed, and delivered.

Job Summary

Vari is looking for an analytically driven Analytics Engineer to join our Technology Team. In this role, you will be the primary owner of business intelligence and data analytics at Vari, turning our data into clear, trusted, and actionable insight that fuels smarter decisions across the business. You will work across a modern AI-forward analytics stack to deliver statistical analysis, self-service reporting, and advanced dashboards, while also contributing to the SQL Server data warehouse foundations that power them.

Critically, you will serve as a bridge between our data capabilities and our business teams as someone who understands not just the data, but the business context behind it.

The Opportunity

This is a high-visibility, high-impact individual contributor role on a lean data team that is actively investing in its analytics and AI capabilities. Most of your time (~75%) will be spent doing what you do best: digging into data, surfacing trends through statistical analysis, and delivering Power BI reports and dashboards that stakeholders use and trust. The remaining focus (~25%) supports the data engineering side, contributing to star schema design, T‑SQL stored procedures, and ETL pipelines that feed clean, reliable data into the warehouse.

This role demands equal parts technical depth and business fluency. You will work directly with leaders and teams across Sales, Operations, Finance, and Marketing, earning their trust by understanding their goals, asking the right questions, and delivering analysis that drives real decisions. If you’re energized by working at the intersection of rigorous analysis and modern data tooling, and excited by the opportunity to embed AI‑powered analytics into the way a growing company understands itself, this role is built for you.

Key Responsibilities Business Intelligence & Analytics
  • Lead the design and delivery of dashboards, reports, and analytical products using Power BI and other modern BI tools
  • Apply statistical analysis techniques, including regression, forecasting, segmentation, cohort analysis, and hypothesis testing, to surface meaningful patterns and trends
  • Build and maintain advanced data models incorporating DAX, calculated measures, and KPI frameworks aligned to business strategy
  • Serve as a trusted analytics partner to business stakeholders across Sales, Operations, Finance, and Marketing, proactively identifying opportunities where data can drive better decisions
  • Lead requirements‑gathering conversations with business teams; translate ambiguous or complex business questions into well‑scoped analytical problems and clear deliverables
  • Present analytical findings and recommendations confidently to both technical and non‑technical audiences, including senior leadership
  • Leverage AI and machine learning capabilities within the BI stack (e.g. Power BI Copilot, Azure AI, Python‑ or R‑based ML models) to augment analysis and automate insight delivery
  • Use Python or R (e.g. pandas, Num Py, scikit‑learn, stats models, tidyverse, caret) for exploratory data analysis, statistical modelling, and scripted reporting workflows
  • Champion self‑service analytics by publishing governed well‑documented semantic models and training end users across the business
  • Monitor report adoption, data quality, and metric consistency; proactively identify and resolve discrepancies
  • Document metric definitions, analytical methodologies, and report lineage to promote a data‑literate culture
Data Engineering
  • Contribute to the design and build of star schema structures in SQL Server, including dimension tables, fact tables, and aggregate layers
  • Write and maintain T‑SQL stored procedures and ETL logic supporting staging‑to‑DWH data flows
  • Integrate…
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