• Help manage the performance, reliability, and accountability of high-volume messaging programs. • Build reporting systems that help understand messaging program performance. • Identify delivery or compliance risks before they become major issues. • Maintain source-of-truth analytics to aid decision-making. • Develop alerting that identifies operational risks in real-time. • Run post-incident reviews to identify root causes, lessons learned, and follow-up actions.

• Design, Develop, and Maintain BI Dashboards & Templates: - Design, develop, and optimize dashboards using Power BI, Looker Studio, Tableau, or similar tools. - Create interactive reports that translate productivity data into operational insights for ActivTrak customers. - Support data integration with third-party systems to enhance reporting capabilities. • Data Quality Control: - Partner with engineers to validate data accuracy, integrity, and consistency. - Implement data validation processes to maintain high-quality analytical outputs. • Perform Advanced Analytics - Conduct deep analysis of workforce and productivity trends using SQL and Python. - Deliver data-driven recommendations that empower customers to optimize performance and decision-making. • Facilitate Internal Ad-hoc Data Requests: - Support cross-functional teams (HR, Operations, Product) by querying key datasets from Google BigQuery. - Ensure timely and accurate responses to ad-hoc data needs. • Enhance Productivity Metrics: - Collaborate on the development and refinement of productivity measurement frameworks. - Align metrics with evolving business goals and customer needs.

Role Description At EquipmentShare, we’re hiring a Financial Data Analyst to support our Corporate HQ in Kansas City, MO. We’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. Your Opportunity to Grow With Us as a Financial Data Analyst: - Play an integral role in creating and analyzing profit and loss statements for our branches. - Partner with operations to facilitate deeper understanding of their earnings. - Analyze monthly branch financials and identify potential challenges and opportunities for increasing profitability. - Develop new processes with financial data including but not limited to forecasting, trend analysis, and other reporting. - Design new dashboards to empower our branches with improved financial insights. Qualifications - 4+ years of experience focused on data analysis. - Bachelor's degree in Accounting, Finance, Statistics, Economics, Computer Science, Mathematics or related field. - Corporate finance exposure preferred: forecasting, reporting, and analysis experience, a keen understanding of financial statements and financial data. - Advanced SQL experience required (CTEs, joins, subqueries, etc.). - Expert-level Microsoft Excel and PowerPoint skills. - Knowledge of an analytical language like Python, R, SAS, SPSS, etc. preferred. - Strong written and verbal communication skills. - Ability to swiftly extract key insights from data. Requirements - Legal authorization to work in the United States without Visa sponsorship. Benefits - Competitive compensation. - Full medical, dental, and vision coverage for full-time employees. - Generous PTO + paid holidays. - 401(k) + company match. - Gym membership stipend + wellness programs (earn PTO and prizes!). - Company events and food truck nights. - 16 hours of paid volunteer time per year — give back to the community you call home. - Career advancement, leadership training, and professional development opportunities. Company Description At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do.

• Build and deliver Power BI dashboards and reports to support data-driven decision-making • Structure cloud-based data into consolidated tables for reporting purposes • Develop reports that automatically synchronize with underlying AWS datasets • Transform raw data into meaningful, actionable insights for the Retail Credit Risk team • Support process improvement initiatives through effective data visualization