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Sigma

Senior Analytics Engineer - Finance

Sigma, San Francisco

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Join to apply for the Senior Analytics Engineer - Finance role at Sigma

Join to apply for the Senior Analytics Engineer - Finance role at Sigma

About The Role
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!

About The Role
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.

Additional Job Details
The base salary range for this position is $120,000 - $160,000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is also eligible for stock options and a comprehensive benefits package.
About Us
Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required.
Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment.
Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.
Come join us!
Benefits For Our Full-Time Employees
  • Equity
  • Generous health benefits
  • Flexible time off policy. Take the time off you need!
  • Paid bonding time for all new parents
  • Traditional and Roth 401k
  • Commuter and FSA benefits
  • Lunch Program
  • Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, and London.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology

  • Industries

    Software Development

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