COMPANY OVERVIEW
HexArmor® is a leader in developing some of the most advanced PPE solutions for your eyes, hands, arms, and body. At HexArmor®, we believe safety is not a luxury – it’s a necessity. Since day one, we have worked hand-in-hand with our customers to design innovative, high performance PPE that helps ensure workers return home in the same condition they arrived. Our mission is to provide the protection that makes this possible, for every worker, everywhere.
SUMMARY
HexArmor is seeking a Business Intelligence Analyst to join our Revenue Operations team as a critical player in how the business measures performance and plans ahead. Reporting to the Director of Revenue Operations, this role serves as a trusted analytical resource for Sales, Marketing, Finance, and Operations. Forecasting is a growing priority for HexArmor, and the analyst will help build that capability while working alongside our data engineering team and using AI tools to work faster. Ideal candidates are curious, detail-oriented, and able to explain what the numbers mean to an audience that does not work in the data every day.
LOCATION
Corporate Headquarters - 640 Leffingwell Ave. NE Grand Rapids, MI 49505
JOB DUTIES & RESPONSIBILITIES
Design, build, and maintain dashboards and reporting in Tableau that gives the organization a clear view of performance against plan, and serves as a go-to resource for ad hoc analysis
Write and optimize SQL against the company data warehouse, and define and document core business metrics so that reporting stays consistent across teams
Conduct exploratory and statistical analysis including trend, variance, segmentation, and cohort analysis, and support monthly and quarterly business reviews with prepared analysis and recommended actions
Develop and maintain demand, revenue, and sales forecasts at the product, customer, channel, and region level
Measure and report forecast accuracy, investigate variance between forecast and actuals, and refine methodology over time to support annual planning, budgeting, and sales and operations planning
Leverage AI tools to accelerate report, dashboard, and model development, including generating and reviewing SQL, prototyping visualizations, and speeding up documentation and validation, and identify further opportunities to reduce manual effort in recurring workflows
Work alongside and assist the data engineering team on data set and pipeline development, helping define data requirements, validate outputs, and QA new data sources
Assist the data engineering team in developing, testing, and evaluating machine learning models that support reporting and forecasting, and partner with them on data quality and governance standards
Evaluate emerging technologies and analytical approaches, and provide thought leadership and perspective for adoption where appropriate
QUALIFICATIONS
Bachelor’s degree in a related field such as Analytics, Data Science, Statistics, Finance, or Economics
Demonstrated experience in a business intelligence, analytics, or reporting role
Proficiency in SQL, with experience building and maintaining dashboards in Tableau
Experience working in Microsoft Fabric or a comparable cloud data platform, with comfort handling large, imperfect data sets
Experience building or maintaining forecasts in a business setting, with familiarity with time series and regression-based forecasting methods
Working knowledge of Python or R and a practical understanding of machine learning concepts, sufficient to contribute alongside data engineering
Experience leveraging AI tools to improve analytical workflows and support the development of reports, dashboards, and models, and up to date with best practices in business intelligence, forecasting, and applied AI
Strong analytical skills and data-driven thinking, with the ability to translate technical results into clear business recommendations for a non-technical audience
Dependable, hardworking problem solver and team player with excellent…