Financial Data Analyst - Business Optimization

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.

Position

Prepare customer invoices and other month-end financial reporting

Assist with expense reconciliation and accounts payable

Automate and improve financial processes to reduce effort and ensure accuracy

Build financial and operational models using Python, R, SQL, etc. for revenue, forecasting, cost, margin, utilization, and backlog

Define key performance indicators and create dashboards for leadership

Analyze trends in project delivery, customer utilization, robotics lab throughput, financial health

Run scenario analyses for new hiring plans, investment strategies, division growth, etc.

Work with engineering and operations leadership to align financial insights with business realities

Desired qualifications

Bachelor's degree in information science, data science, accounting, or similar

Proficiency in programming languages for financial and statistical analysis (Python, R, SQL, etc.)

Familiarity with accounting principles and ability to apply them

Ability to integrate concepts in accounting, economics, and applied data science

Takes ownership of their responsibilities and demonstrates integrity, work ethic, professionalism, and diversity in working with others

Detail oriented, curious, and proactive especially about uncovering trends and improving financial outcomes

Participates in company activities, such as recruiting, training, and team building

Adapts to change and ambiguity in a resourceful, positive, and professional manner

Package : salaried position, bonus program, full benefits (medical, dental, vision, supplementary), holidays, paid time off, 401(k) plan, good work-life balance

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