We are seeking a Finance Data Analyst who will play a key role in building the reporting foundation our teams depend on today while helping shape the analytics and AI automation capabilities of tomorrow. This role owns financial dashboards, KPIs, and the underlying data models that power them, partnering closely with FP&A, business leaders, and technical teams.
This is an opportunity to combine strong finance acumen with modern data tooling and AI-driven workflows to create scalable, reliable, and forward-looking analytics solutions. The ideal candidate is curious about the story behind the numbers, focused on accuracy, and motivated to continuously improve processes through automation and intelligent design.
What You’ll Do
Data Modeling & Pipelines
- Build and maintain finance and operational data models in Snowflake using dbt to support core metrics such as ARR, bookings, revenue, and EBITDA
- Own the reliability and scalability of finance-owned data pipelines, including migration of business logic into modern data models
- Write and review high-quality SQL and Python code to support data transformation and automation
Reporting & Business Intelligence
- Develop and maintain financial dashboards and reporting in Power BI or Tableau
- Translate business requirements from FP&A and leadership into scalable and production-ready reporting solutions
- Define and document KPI logic, metric frameworks, and data dictionaries to ensure consistency and trust in reporting
Analytics & Insights
- Perform detailed analysis of financial and operational data to identify trends, drivers, and root causes
- Support variance analysis, forecasting processes, and executive-level reporting needs
- Communicate insights clearly through structured, narrative-driven summaries for stakeholders
Data Governance
- Monitor data quality and ensure integrity of finance datasets within Snowflake
- Maintain clear documentation of data lineage, definitions, and reporting standards
- Establish governance processes to ensure auditability and alignment across reporting outputs
AI, Automation & Workflow Innovation
- Identify opportunities to automate recurring finance activities such as close reporting, variance analysis, and forecast updates
- Design and implement AI-driven workflows that streamline multi-step finance tasks and reduce manual effort
- Enable conversational analytics capabilities that allow stakeholders to query financial data more efficiently
- Evaluate and adopt AI tools for foreca