Financial Data Scientist

• Analyze large and complex datasets to identify key trends, patterns, and performance drivers
• Ensure data integrity and accuracy within business intelligence platforms through ongoing validation and monitoring
• Translate business needs into clear technical specifications for data and reporting solutions
• Manage and optimize databases, including the design, development, and testing of data capture, transformation, and integration processes
• Clean, filter, and validate data; troubleshoot reporting errors and resolve performance issues
• Continuously improve data workflows and quality control processes to enhance the reliability and value of analytics
• Provide oversight for testing, support, and quality assurance efforts related to data systems and BI initiatives
• Establish and maintain policies and procedures for data collection, processing, and analysis
• Partner with IT to support the implementation of software and hardware upgrades aligned with analytics and reporting needs
• Monitor the effectiveness of financial models and reporting strategies, recommending adjustments as necessary
• Evaluate and apply new analytical techniques and methodologies to enhance reporting capabilities
• Lead and support project management efforts for business intelligence initiatives, ensuring timely delivery and alignment with strategic goals

• Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, sales, marketing and other stakeholders.
• Synthesize current business intelligence or trend data to support recommendations for action.
• Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.
• Develop the automation of recurring reports and support ad-hoc requests as needed.

• Develop and implement predictive models to forecast financial outcomes such as revenue, expenses, and market trends.
• Produce and update the monthly finance forecast and annual sales budget, integrating historical trends, external market signals, and inputs from marketing and sales.

• Assists with questions regarding sales performance, deviations from forecast, potential countermeasures, pricing, etc.
• Proactively develop, coordinate, conduct and/or provide training for users as needed
• Supports Finance and cross-functional teams as needed and/or required.
• Attends meetings as required and/or assigned.
• Perform other duties as required and/or assigned.
• May be required to travel up to 10% of the time
• Complies with safety rules and guidelines

• Strong programming and analytical skills using tools such as Python, R, SQL, Excel (including macros/scripting) for data analysis, modeling, and reporting.
• Experience working with large datasets and modern data platforms (e.g., Snowflake, SAP, Redshift) along with proficiency in Power BI for dashboarding and data storytelling.
• Solid foundation in statistics, machine learning, and financial modeling, with the ability to analyze, interpret, and present complex data to support business decisions.
• Deep understanding of financial concepts and business drivers, with the ability to apply this knowledge in a data science context.
• Skilled in querying, reporting tools, and working with relational databases and cloud-based data solutions.
• Excellent communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders at all levels.
• Demonstrated strengths in problem-solving, critical thinking, attention to detail, and a methodical, self-driven approach to tasks and projects.
• Ability to perform with superior service, reflecting a positive company image while sustaining a positive attitude with those you interact with; always going above and beyond to help others out, regardless of their position or department.
• Strong attention to detail, time management skills and a self-starter approach.

• Bachelor's Degree in Finance, Accounting, Business Analytics, Data Science, Economics, or a related field.
• 5-7+ years of relevant work experience required
• Industry experience strongly encouraged
• Equivalent combinations of education and experience may be considered.

• Base: $89,000 to $122,000 annually, based on specific compensable factors including, but not limited to education, work experience, and geographic market.
• Bonus: This role will be eligible for participation in a discretionary annual bonus program, pursuant to which an employee may be awarded a percentage of their salary based on the company's performance and their own individual performance.

• Medical, Dental, Vision
• Wellness Program
• Health Savings Account (HSA) with a company contribution
• Voluntary Benefits (Life, AD&D, Disability)
• 401(k) retirement plan with a 7.5% company contribution
• Time Off Programs - 22 days Paid Time Off (PTO), 9 Company Holidays, 2 Volunteer Days

• Posting date: 08/12/2025
• The application deadline for this job is: 09/12/2025

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