Solution Engineer (EMEA) at Sigma Computing

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AnalyticsIndustries

Requirements

Experience with analytics, business intelligence, or sales engineering
Customer relationship skills
Strong understanding of database concepts
Understanding of advanced spreadsheet concepts
Cloud data warehouse experience (Snowflake, Redshift, BigQuery)
Excellent organizational skills and ability to multitask in a fast-paced startup environment
Experience implementing production business intelligence solutions or proof of concepts
Bachelor’s degree in technical/analytics field or equivalent technical & business experience
Willingness to travel 10% (some days)

Responsibilities

Understand and uncover business challenges and issues faced by the customer and run targeted discovery sessions or workshops
Engage with business users to define, create, and showcase solution prototypes
Build and present customized demos for customers, trade shows, and webinars
Confidently present and articulate the business value of the Sigma platform to all levels within an organization
Deliver product, technical, and security related responses to RFPs/RFIs
Participate in product, sales, and relevant technology certifications to acquire, maintain, and grow skill sets
Work as a team player by contributing, learning, and sharing new knowledge
Be conversant in integration and data migration approaches to help customers develop their data lifecycle and analytics strategy with Sigma
Manage multiple customer engagements concurrently
Attain quarterly and annual objectives assigned by management
Become a Sigma champion and product expert; prospects and customers will look to you for advice and expertise

Skills

Analytics

Business Intelligence

Sales Engineering

Database Concepts

SQL

Spreadsheets

Cloud Data Warehouse

Prototyping

Demos

RFPs

RFIs

Customer Engagement

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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