Financial Data Analyst - Business Optimization at Rivers Agile

Rivers Agile is a deep tech consulting firm specializing in custom solutions across various industries. Founded in 2008 as a quality assurance consultancy, we have expanded our expertise to include autonomous solutions, Agentive AI, XR research, and NVIDIA Omniverse. Our strong foundation in quality assurance ensures efficient, agile software development while aligning every solution with business goals.Our collaborative team of software engineers, QA engineers, and project managers partners closely with clients to tackle complex challenges. We seek engineers and other professionals who are lifelong learners, passionate about their craft, and defined by their unique personality, experience, and style.We seek a Financial Data Analyst to blend hands-on accounting support with quantitative modeling, forecasting, and data driven decision making. This is a unique opportunity for a high potential, early career professional to shape how Rivers Agile measures, predicts, and improves its financial health.Location: This is a hybrid position with some onsite work required. Only candidates local to Pittsburgh, PA will be considered.PositionPrepare customer invoices and other month-end financial reportingAssist with expense reconciliation and accounts payableAutomate and improve financial processes to reduce effort and ensure accuracyBuild financial and operational models using Python, R, SQL, etc. for revenue, forecasting, cost, margin, utilization, and backlogDefine key performance indicators and create dashboards for leadershipAnalyze trends in project delivery, customer utilization, robotics lab throughput, financial healthRun scenario analyses for new hiring plans, investment strategies, division growth, etc.Work with engineering and operations leadership to align financial insights with business realitiesDesired qualificationsBachelor's degree in information science, data science, accounting, or similarProficiency in programming languages for financial and statistical analysis (Python, R, SQL, etc.)Familiarity with accounting principles and ability to apply themAbility to integrate concepts in accounting, economics, and applied data scienceTakes ownership of their responsibilities and demonstrates integrity, work ethic, professionalism, and diversity in working with othersDetail oriented, curious, and proactive especially about uncovering trends and improving financial outcomesParticipates in company activities, such as recruiting, training, and team buildingAdapts to change and ambiguity in a resourceful, positive, and professional mannerPackage: salaried position, bonus program, full benefits (medical, dental, vision, supplementary), holidays, paid time off, 401(k) plan, good work-life balance