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The Sigma Commercial Solutions Engineer believes in the power of analytics to transform organizations and uncover new data insights to increase business agility. The Sigma Solutions Engineer will act as the trusted advisor to our prospects and customers working in tandem with Sales, Business Development, Product Management, Customer Success, and Support. This individual is ultimately responsible for managing and delivering on all activities related to the technical presales cycle. This includes presentations, demonstrations, and hands on development of prototypes. You will align closely with our Commercial Sales Representatives focused on sales in new and existing accounts.
Job Responsibility:
Understand and uncover business challenges and issues faced by the customer and be able to 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
Requirements:
Experience with analytics, business intelligence, or sales engineering experience
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
10% Travel some day
Nice to have:
Experience at a SaaS company or with cloud architectures
Experience with data analytics business use cases
Startup experience
ETL experience - Fivetran, Matillion or traditional ETL
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