Solutions Engineer/Consultant, SPINS Shares & Extracts

SPINS • Chicago, IL

4d • 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 alongside the Senior Sales Engineer and Customer Success team, you will lead discovery conversations about how clients use their data, translate findings into clear data specifications, and recommend the best delivery option. Options include scheduled SPINS Shares, right-sized or Managed SPINS Extracts, SPINS Intelligence views, or retiring pulls that are no longer needed. You will co-own follow-through, from confirming specifications through handoff to onboarding, and help turn what is learned into reusable talk tracks and enablement materials.

The role calls for someone comfortable working with clients while delivery options are evolving. You will lead with curiosity, be transparent about what is still being defined, adapt to client workflows, and avoid overpromising. It combines technical data knowledge with consultative conversations and turning ambiguity into a plan.

Requirements

• 3–5 years of experience 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 the go-to 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 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.

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 goes downstream, and who relies on it.
• Identify overlap and redundancy across a client’s Extracts and recommend an efficient path, including consolidating into a SPINS Share, trimming or splitting delivery into SPINS Extracts or Managed Extracts, using SPINS Intelligence, or discontinuing a pull.
• Capture and confirm Extract-level data specifications, including measures, geographies, time periods, and products; prepare first-version configurations and maintain accurate, current client records.
• 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 actual needs, and identify requests that expand scope and should be routed to a commercial conversation.
• Communicate candidly when guidance is evolving, record 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 to refine the approach and contribute to talk tracks, FAQs, decision trees, and enablement materials for Customer Success and Client Insights teams.
• Support Sales and pre-sale 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