Senior Analytics Engineer - Engineering

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, SoftwareIndustries

Requirements

Candidates should possess 4+ years of experience in analytics engineering or a similar role, with a strong background supporting technical teams. Proficiency in SQL, including dimensional modeling and transformation design, is essential, with dbt experience being preferred. Experience with engineering and support systems like Jira, Intercom, or ZenDesk, along with cloud data warehouses (Snowflake or Databricks preferred) and data version control (git), is required. Prior experience supporting Engineering and/or Technical Support stakeholders at a B2B SaaS company is a plus, as is familiarity with data visualization tools, particularly Sigma. Excellent communication skills for explaining complex data concepts to diverse audiences, self-starting ability with high attention to detail, and the capacity to manage multiple priorities in a fast-paced environment are also necessary. Proven ability to influence cross-functional stakeholders and drive adoption of data solutions is expected.

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, and operational telemetry. Responsibilities include modeling incident tracking data to improve response times, identifying opportunities for new self-service data tools, and creating documentation for data models and pipelines. The role involves analyzing support request patterns to inform capacity planning, partnering with stakeholders to gather requirements and translate them into scalable data products, and mentoring team members on analytics best practices. Additionally, the engineer will drive continuous improvement initiatives by analyzing workflow inefficiencies and delivering reporting and dashboards in Sigma for real-time insights into key performance indicators.

Skills

Data Modeling

Data Pipelines

Reporting

Infrastructure Development

SQL

Analytics Engineering

Documentation

Self-service Data Tools

Capacity Planning

Process Optimization

Data Quality

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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