About the RoleThe Sr. Data Analyst of FP&A is a hybrid data science and finance role within the FP&A function. This position supports financial and operational analytical needs across the organization, requiring strong quantitative modeling skills, financial acumen, and technical proficiency in SQL, Python, and BI tooling.
A Day in the Life- Partner with cross-functional teams to drive financial planning, analysis, and business performance across the organization.
- Support forecasting, budgeting, and long-range planning (LRP).
- Analyze financial results, explain variances, and provide actionable insights to support decision-making.
- Conduct complex business modeling and financial analysis to identify growth opportunities, optimize costs, and improve operational efficiency.
- Prepare and deliver clear, concise financial reporting and presentations to stakeholders at all levels.
- Manage ad-hoc analysis and reporting using diverse data sources and tools, including advanced Excel functions, SQL, Python, and BI platforms.
What Sets You Apart- Strong understanding of full P&L, including revenue, costs, and profitability.
- Solid foundation in corporate finance, including forecasting, budgeting, and variance analysis.
- Skilled in translating complex financial data into clear insights for multiple audiences.
- Advanced analytical and problem-solving skills, with the ability to make data-driven recommendations.
- Proficient in Excel (including formulas and macros) and financial reporting tools/BI systems.
- Proficient in SQL and Python, with hands-on experience constructing and analyzing datasets to support financial reporting, operational analytics, and decision-making.
- Experience with BI tools for data visualization and reporting (e.g., PBI, Looker, or similar).
- Ability to thrive independently in a fast-paced, dynamic environment while managing multiple priorities.
- Exceptional attention to detail, accuracy, and ability to meet demanding deadlines.
- Strong communication and interpersonal skills, capable of building relationships across all levels of the organization.
Education and Experience- Bachelor's degree in finance, business, or a related field.
- 2-3 years of relevant finance experience, including financial analysis, forecasting, or reporting.
- SQL, Python, and BI experience, including data construction, analysis, and visualization.
- Experience with ERP systems, such as NetSuite and NSPB.
*This role is not eligible for Visa Sponsorship*
