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 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
COMPENSATION
Salary + bonus
HexArmor is proud to be an Equal Opportunity Employer. We are committed to creating a workplace where all individuals are treated with dignity and respect. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable law.
At HexArmor, we believe diversity in people and ideas makes us stronger. We are committed to attracting and retaining a diverse employee workforce honoring people’s experiences, perspectives, and cultural backgrounds. As one HexArmor community, we strive to create and maintain a working environment that is welcoming, inclusive, and impartial. If you require a reasonable accommodation during the application or interview process, please let us know.
Employment offers are contingent upon an E-Verify check and the successful completion of a pre-employment drug screen and background check **
