Business Intelligence Analyst

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.

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.

Corporate Headquarters - 640 Leffingwell Ave. NE Grand Rapids, MI 49505

• →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

• 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 verbal and communication skills, a high standard of performance for self, and a willingness to pivot when needed to complete the crucial task for the business