Solutions Engineer/Consultant, SPINS Shares & Extracts

Spins • Chicago, IL

3d • Hybrid

About The Position

As a Solutions Engineer/Consultant for SPINS Shares and SPINS Extracts, you will help clients move their largest and most complex data deliveries onto SPINS’s new data platform. Working with the Senior Sales Engineer and Customer Success team, you will lead client discovery, understand how clients use their data, translate findings into data specifications, and recommend an appropriate delivery path. Options include scheduled SPINS Shares, right-sized or Managed Extracts, SPINS Intelligence views, or discontinuing unnecessary data pulls.

You will co-own follow-through from specification confirmation through handoff to onboarding, maintain accurate client records, and help develop talk tracks and enablement materials. The role calls for someone comfortable guiding clients while delivery options are evolving: you should lead with curiosity, communicate candidly about unresolved questions, adapt recommendations to client workflows, and avoid overpromising. You will also support Sales and prospective clients with questions about SPINS Shares and SPINS Extracts.

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, such as 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 quickly become an expert on SPINS Shares and Extracts.
• 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 the ability to explain technical change in plain language and handle difficult client conversations calmly.
• Strong organizational skills and the ability to manage concurrent client engagements with attention to detail.

Nice To Haves

• Experience with SPINS Intelligence.
• Familiarity with cloud data delivery and ingestion, such as 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.

Responsibilities

• Lead client discovery conversations about large data Extracts, including how each is used, what questions it answers, how often it is needed, where it flows downstream, and who relies on it.
• Identify overlap and redundancy across client Extracts and recommend an efficient delivery path, including SPINS Shares, SPINS Extracts, Managed Extracts, SPINS Intelligence, or discontinuing a pull.
• Capture and confirm Extract-level data specifications, including measures, geographies, time periods, and products; prepare initial configurations and keep client records 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, size deliveries to client needs, and recognize requests that should be routed to a commercial conversation.
• Communicate candidly when guidance is still evolving, document open questions, and escalate them to Product, commercial, and Data Governance partners.
• Partner 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 in Gong and contribute to talk tracks, FAQs, decision trees, and enablement materials.
• Support Sales and prospective clients with questions about SPINS Shares and SPINS Extracts capabilities and data delivery.

Benefits

• Hybrid work options.
• Paid time to volunteer with an organization of the employee’s choice.
• Charitable donations are matched.
• Semi-annual company-wide employee survey used to shape company programs, perks, and culture.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed