Senior Financial Data Analyst

Responsibilities

• Lead the strategic migration of legacy, Excel-based financial models into a scalable, automated architecture utilizing Snowflake and Sigma Computing, empowering business leaders with self-service scenario planning and forecasting capabilities.
• Lead and continuously improve company-wide financial forecasting models and planning processes, leveraging both statistical and business-driven inputs.
• Own the end-to-end development of financial reporting—from designing and querying data models in Snowflake to building interactive, self-service dashboards in Sigma.
• Act as an internal consultant and strategic thought partner to stakeholders across marketing, product, and operations—delivering actionable, data-backed insights.
• Advocate for data-driven decision-making by supporting analytics literacy across the organization and promoting the adoption of self-service BI tools.
• Partner with key stakeholders to assess business performance, identifying trends, gaps, and opportunities through deep-dive analysis.
• Own the definition, development, and evolution of key financial and operational metrics, KPIs, and dashboards to track performance and inform strategy.

Requirements

• Experience: 7+ years of experience in financial analysis, forecasting, business analytics, or FP&A, preferably within a subscription, eCommerce, or SaaS environment.
• Advanced SQL & Architecture: Advanced SQL proficiency is required. Experience not just querying, but designing and maintaining data models and pipelines in cloud data warehouses (Snowflake experience highly preferred).
• Modern BI Platforms: Advanced experience building in modern cloud BI platforms (Sigma Computing strongly preferred, or Looker/Tableau/Power BI).
• Spreadsheets & Modernization: Advanced Excel skills with a proven track record of migrating complex, spreadsheet-based financial models into modern, centralized data platforms to improve scalability and reduce key-person risk.

Qualifications

• Proactive, highly analytical self-starter who bridges the gap between deep corporate finance and modern data engineering.
• Bridge the gap between deep corporate finance and modern data engineering.

Skills

• Financial Modeling
• Cloud Data Tools (Snowflake, Sigma Computing)
• Modern BI Platforms (Sigma Computing, Looker, Tableau, Power BI)
• Advanced SQL
• Data Modeling and Pipelines
• Excel

Benefits

See full job description on our website: PeopleConnect - Careers

Pay

$141,200 - $180,300

Schedule

Hybrid