Sigma Computing

Senior Analytics Engineer

San Francisco, California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Software, Data & AnalyticsIndustries

Senior Analytics Engineer - Go-To-Market

Employment Type: [Not Specified] Location Type: [Not Specified] Salary: $140,000 - $160,000 annually (plus stock options and comprehensive benefits)


Position Overview

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!


Responsibilities

  • 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 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).
  • 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

Compensation may vary outside of the base salary 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 Sigma Computing

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.

Skills

SQL
dbt
Python
R
Scala
Snowflake
Databricks
Sigma
Git
Data Modeling
Data Visualization
Sales Analytics
Go-To-Market (GTM)
Data Governance
Version Control
Communication

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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