Senior Analytics Engineer

Salary

$120,000 - $160,000

Location

San Francisco, CA

With 3.5x growth in ARR and a maturing operating model, Sigma is looking for a Senior Analytics Engineer to support our Finance organization. In this role, you'll play a key part in enabling smarter financial decision-making through robust data modeling, reporting, and infrastructure development. You’ll collaborate closely with our FP&A and Accounting teams to improve revenue forecasting accuracy, enhance Netsuite workflows, and build scalable data solutions for financial operations. If you’re passionate about analytics engineering and enjoy working at a high-growth company, let’s chat!

What You Will Be Doing

Design, build, and maintain core data models to power critical Finance workflows including revenue forecasting, cash flow modeling, financial planning, and board reporting.
Partner closely with FP&A and Accounting to understand business requirements and translate them into data products that improve accuracy, transparency, and operational efficiency.
Develop and maintain scalable workflows for financial systems integration, including enhancing and automating Netsuite-related pipelines and reconciliation processes.
Deliver reporting and dashboards in Sigma to enable real-time insights into key financial and operational metrics.
Implement a strong data privacy program to ensure sensitive financial information is accessible to a restricted number of stakeholders within our Finance team.
Mentor teammates and cross-functional partners on data modeling techniques and ensure adherence to best practices.

Qualifications We Need

Strong proficiency in SQL (dbt experience preferred) with a deep understanding of dimensional modeling and transformation design for finance use cases.
Experience working with financial systems (e.g., Netsuite, Anaplan, Stripe, Salesforce).
Strong grasp of cloud data warehouses (Snowflake or Databricks preferred) and data version control (git).
Demonstrated experience supporting Finance stakeholders at a B2B SaaS company.
Experience with data visualization tools (Sigma experience preferred - you will use Sigma every day!)
Familiarity with at least one programming language (e.g., Python or R) for data processing or automation.
Excellent communication skills, especially in explaining financial data concepts to non-technical stakeholders.
Self-starter with high attention to detail and the ability to manage multiple priorities in a fast-paced environment.

Bonus Points

Prior experience in revenue recognition modeling or GAAP compliance tracking.
Exposure to enterprise financial reporting or IPO-readiness initiatives.
Familiarity with financial modeling frameworks or FP&A tools.

‌