Senior Analytics Engineer - Engineering at SIGMA COMPUTING INC

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Dec, 25

Salary

170000.0

Posted On

29 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytics Engineering, SQL, Dimensional Modeling, Data Visualization, Cloud Data Warehouses, Data Quality, Data Governance, Technical Support, Engineering, Process Optimization, Data Modeling, Documentation, Mentoring, Continuous Improvement, Customer Insights, Self-Service Tools

Industry

Software Development

Description

With 3.5x growth in ARR and a maturing operating model, Sigma is looking for a curious and collaborative Senior Analytics Engineer to support our Engineering and Technical Support teams. In this role, you’ll enable data-driven decision-making through robust data modeling, reporting, and infrastructure development. You’ll partner closely with Technical Support and Engineering teams to improve operational efficiency, enhance customer insights, and build scalable data solutions for engineering operations. We welcome candidates from a variety of backgrounds and experiences—even if you don’t meet every listed requirement, we encourage you to apply. If you’re excited about analytics engineering and want to make an impact at a high-growth company, let’s chat! What You Will Be Doing Design, build, and maintain core data models to power critical Technical Support and Engineering workflows including system performance metrics, incident response data, customer support interactions, and operational telemetry. Model incident tracking data to improve response times for critical outages and system issues while measuring the effectiveness of process improvements and operational changes. Identify opportunities to develop new self-service and data apps tools that streamline engineering operations and support team workflows. Create comprehensive documentation for data models, pipelines, and workbooks to enable self-service data discovery and maximize user adoption across teams. Analyze support request patterns and complexity trends to inform capacity planning and identify opportunities for process optimization as customer needs evolve. Partner closely with Engineering and Technical Support stakeholders to gather requirements and translate them into scalable data products that enhance decision-making, operational visibility, and team efficiency. Mentor team members and cross-functional partners on analytics best practices while establishing and maintaining data quality standards across all deliverables. Drive continuous improvement initiatives by analyzing workflow inefficiencies and recommending data-driven solutions that reduce manual processes and improve team productivity. Deliver reporting and dashboards in Sigma to enable real-time insights into system performance, customer health metrics, and operational KPIs for leadership decision-making. Qualifications We Need 4+ years of experience in analytics engineering or equivalent role, with experience supporting technical teams Strong proficiency in SQL (dbt experience preferred) with a deep understanding of dimensional modeling and transformation design for engineering and support use cases. Experience working with engineering and support systems (e.g., Jira, Intercom, ZenDesk, CI/CD Platforms, etc). Strong grasp of cloud data warehouses (Snowflake or Databricks preferred) and data version control (git). Demonstrated experience supporting Engineering and / or Technical Support stakeholders at a B2B SaaS company (Bonus: experience in other high-growth environments is also valued) Experience with data visualization tools (Sigma experience preferred - you will use Sigma every day!) Excellent communication skills, especially in explaining complex data concepts to technical and non-technical stakeholders. Self-starter with high attention to detail and the ability to manage multiple priorities in a fast-paced environment. Proven ability to influence cross-functional stakeholders and drive adoption of data solutions across technical and business teams. Bonus Points Prior experience with customer sentiment analysis using natural language processing (NLP) techniques on unstructured data such as chat transcripts. Experience building robust data pipelines and predictive models Exposure to optimization strategies to improve run-time performance of data models built on high-volume telemetry data. Familiarity with data quality and data governance principles and best practices for managing sensitive customer data. Previous experience mentoring junior analysts or leading cross-functional data initiatives in a senior individual contributor role. Additional Job details The base salary range for this position is $120,000 - $170,000 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.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Design, build, and maintain core data models to support Technical Support and Engineering workflows. Partner closely with stakeholders to gather requirements and translate them into scalable data products that enhance decision-making and operational efficiency.