Solutions Engineer/Consultant, SPINS Shares & Extracts

SPINS provides retail consumer insights, analytics, and consulting services. The Solutions Engineer/Consultant helps clients transition complex data deliveries to SPINS’s data platform by leading discovery, specifying delivery needs, recommending solutions, and coordinating onboarding and enablement.

Responsibilities:

• Lead client discovery conversations about large data Extracts: how each one is used, what question it answers, how often it is needed, where it goes downstream, and who relies on it
• Identify overlap and redundancy across a client’s Extracts and recommend the most efficient path for each, including consolidating into a SPINS Share (aggregated and/or trended), trimming or splitting to fit SPINS Extracts, Managed Extracts, SPINS Intelligence, or discontinuing
• Capture and confirm data specifications at the Extract level (measures, geographies, time periods and products), prepare first-version configurations, and keep client records accurate and current
• Co-lead follow-through with the Senior Sales Engineer and Customer Success Managers, including follow-up sessions, specification confirmation, and handoff to onboarding
• Guide clients on data volume and cell-count trade-offs so deliveries are sized to real needs, and recognize when a request expands scope and should route to a commercial conversation
• Communicate candidly when guidance is still evolving, log open questions, and escalate to Product, commercial and Data Governance partners for resolution
• Partner closely with Customer Success, Client Insights Managers, Data Enablement, Product and Marketing to keep clients informed and transitions on track; track client status in Planhat
• Review recorded client conversations (Gong) to refine the approach, and contribute to talk tracks, FAQs, decision trees and enablement materials that help Customer Success and Client Insights teams run these conversations
• Support Sales and pre-sale clients with questions about SPINS Shares and SPINS Extracts capabilities and how data is delivered

Requirements:

• 3–5 years in a client-facing data role, such as solutions consulting, sales engineering, analytics consulting or data implementation
• Hands-on experience with syndicated retail or CPG data (for example SPINS, NielsenIQ or Circana), including measures, geographies, product hierarchies and time periods
• Working expertise in SPINS data delivery (Satori, SPINS Extracts and SPINS Shares), or comparable syndicated data delivery experience and the ability to become the go-to expert on SPINS Shares and Extracts quickly
• Proven ability to lead discovery and translate business needs into clear data requirements and specifications
• Comfort working with large data sets and delivery concepts such as cell counts, aggregated versus trended data, and recurring data feeds
• Excellent communication skills, including explaining technical change in plain language and handling difficult client conversations calmly
• Strong organizational skills and the ability to manage many concurrent client engagements with attention to detail
• Experience with SPINS Intelligence
• Familiarity with cloud data delivery and ingestion (for example Snowflake, BigQuery, Databricks or Amazon S3) and how clients load data into their own systems
• Working knowledge of SQL and BI tools such as Power BI or Tableau
• Experience supporting a product migration or client change-management effort
• Experience with Salesforce, Planhat and Gong