Senior Analytics Engineer – GTM at SIGMA COMPUTING INC

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

180000.0

Posted On

21 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, dbt, Python, R, Scala, Cloud Data Warehouse, Snowflake, Databricks, Data Visualization, Sigma, Git, Sales Analytics, Data Engineering, Data Governance, Communication Skills, Process Improvement, Organizational Skills

Industry

Software Development

Description

With 3.5x in ARR and a sales workforce growing +63% annually over the past 3 years, Sigma is looking for someone to join the rocketship and contribute their data chops to scale our Go-To-Market initiative! As a Senior Analytics Engineer on the Data Platform team, you would collaborate closely with Sales, Marketing, RevOps, and Sales Enablement and drive large-scale initiatives to expand market reach, improve sales efficiency, and identify operational gaps. If you’re passionate about analytics engineering and the future of analytics, let’s chat! What You Will Be Doing Build and maintain commissions data models and workbooks to facilitate payroll processing & inform future comp plan designs. Design, develop, and maintain core data models as well as create engaging visualizations using Sigma to support GTM initiatives, ensuring a high level of data accuracy and usability. Partner with your stakeholders to understand their requirements and deliver data solutions attuned to their current needs while ensuring scalability. Clearly scope, track, execute, and communicate on projects. Define and implement data engineering standards and best practices. Provide guidance and support to other team members to ensure adherence to these standards, promoting high-quality data processes and governance. Be the in-house expert on sales analytics and enable the field to leverage insights in a meaningful way. Qualifications We Need Expertise in SQL and dbt, comfortable with at least one programming language (e.g. Python, R, Scala, etc), and experience using a cloud data warehouse (Snowflake or Databricks preferred) Strong visualization skills (Sigma experience preferred - you will use Sigma every day!) Experience using git for version control Comfort with the ambiguity that comes with working in a fast-paced environment GTM domain expertise Strong desire to ideate and implement new processes to make the team more efficient Highly organized with the ability to quickly identify and prioritize opportunities for optimal ROI Excellent communication skills, with the ability to explain complex data insights to non-technical stakeholders Positive attitude and ability to receive and provide objective and constructive feedback Additional Job details The base salary range for this position is $150,000 - $180,000 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 eligible for stock options, as well as 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. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). For any questions related to your personal data, please contact privacy@sigmacomputing.com. Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

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Responsibilities

As a Senior Analytics Engineer, you will build and maintain data models to support payroll processing and inform compensation plans. You will collaborate with various teams to deliver scalable data solutions and ensure high data accuracy.