Senior Analytics Engineer - GTM at Sigma Computing

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

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

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 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

Skills

SQL

dbt

Python

Snowflake

Databricks

Sigma

git

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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