This role will focus on applying advanced analytics and data science to financial planning and analysis processes that support better business decisions.

You will partner closely with FP&A and business leaders to improve forecasting, variance analysis, and scenario planning through scalable analytical models and automation.

In addition, you will work across data engineering and finance stakeholders to strengthen data quality, streamline workflows, and deliver actionable insights for leadership.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $109,000 – $196,020 annually

Responsibilities

Partner with FP&A and business leaders to leverage data science in improving financial processes
Develop Python-based analytical models and automation for financial use cases
Build and maintain datasets and analytical workflows using Snowflake and SQL
Create predictive models for financial metrics and business performance
Automate recurring FP&A processes and conduct variance analysis
Design scenario models for leadership to understand financial outcomes
Collaborate with Data Engineering to enhance data quality and architecture

Qualifications

5+ years of experience in data science or advanced analytics, particularly in FP&A
Proficient in Python and analytical libraries such as pandas and scikit-learn
Advanced SQL skills with hands-on experience in Snowflake
Deep understanding of FP&A concepts like budgeting and forecasting
Experience developing predictive or machine-learning models on large datasets
Skilled in building automated analytical workflows
Strong communication skills to convey technical insights to non-technical stakeholders

Benefits

Health and financial benefits
Time off and wellness support
Access to comprehensive benefits packages
In-person onboarding and identity verification process
Opportunities for professional development and employee wellness programs

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.