Senior Analytics Engineer - Engineering at Sigma Computing

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

SoftwareIndustries

Requirements

Candidates should have 4+ years of experience in analytics engineering or a similar role, with proven experience supporting technical teams. Strong proficiency in SQL, dimensional modeling, and transformation design is required, along with experience in cloud data warehouses like Snowflake or Databricks and data version control using Git. Experience with engineering and support systems such as Jira, Intercom, or ZenDesk is necessary, as is demonstrated experience supporting Engineering and/or Technical Support stakeholders at a B2B SaaS company. Familiarity with data visualization tools, excellent communication skills for explaining complex data concepts, a self-starter attitude with attention to detail, and the ability to manage multiple priorities are essential. Bonus points include experience with NLP for customer sentiment analysis, building data pipelines and predictive models, and optimization strategies for high-volume telemetry data.

Responsibilities

The Senior Analytics Engineer will design, build, and maintain core data models for Technical Support and Engineering workflows, including system performance metrics, incident response data, customer support interactions, and operational telemetry. They will model incident tracking data to improve response times and measure process improvements, and identify opportunities to develop new self-service data tools for engineering operations. Responsibilities include creating comprehensive documentation for data models and pipelines, analyzing support request patterns to inform capacity planning, and partnering with stakeholders to gather requirements and translate them into scalable data products. The role also involves mentoring team members on analytics best practices, establishing data quality standards, driving continuous improvement initiatives by analyzing workflow inefficiencies, and delivering reporting and dashboards in Sigma for real-time insights.

Skills

Data Modeling

Data Analysis

Data Pipelines

Data Quality

Documentation

Stakeholder Management

Capacity Planning

Process Optimization

Sigma Computing

Cloud-based data analytics platform for businesses

About Sigma Computing

Sigma Computing offers a cloud-based data analytics platform that enables businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features such as data collection, territory management, and revenue planning without needing coding skills. The platform is scalable, allowing for the analysis of billions of rows of data, and promotes self-service capabilities for faster insights. Recently, Sigma introduced AI features like data classification and natural language processing to enhance data analysis and support Enterprise AI initiatives.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$550.9MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Competitive pay - Looking for a great salary and solid stock options? You’ve come to the right place.

Flexible schedule - Do the work you need to get done in the time you have to get it done

Amazing benefits - Medical, dental, vision, 401k, FSA, commuter… we’ve got you covered. Literally.

Flexible vacation - At Sigma, we work to live, not live to work. So go on, book that dream vacation.

Health & wellness - A healthy body supports a healthy mind, so we partner with Crunch Fitness and CorePower.

Family-friendly - From flexible scheduling to parental leave to kids’ birthdays off, we support Sigma families.

Risks

Competition from Tableau and Power BI could threaten Sigma's market share.

Reliance on platforms like Snowflake may impact service delivery if disruptions occur.

High valuation pressures Sigma to deliver rapid growth, risking strategic misalignment.

Differentiation

Sigma offers a spreadsheet-like interface for non-technical users to analyze data.

The platform integrates with major data warehouses like Snowflake and BigQuery.

Sigma's AI features include natural language processing and sentiment analysis.

Upsides

Sigma raised $200M in Series D funding, valuing it at $1.5 billion.

The platform's scalability allows analysis of billions of data rows efficiently.

Sigma's partnerships enhance data accessibility and integration for users.

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