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SPINS

Solutions Engineer/Consultant – SPINS Shares & Extracts

SPINS

. Lead client discovery conversations about large data Extracts, including usage, business questions, frequency, downstream destinations and stakeholders .

Posted 11/3/2026full-timeChicago • Illinois • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in client-facing data roles, particularly in leading discovery conversations and translating business needs into data specifications. Proficient in managing large data sets and familiar with SPINS data delivery and cloud data ingestion technologies.

Highest-signal resume keywords
Client-Facing Data Role ExperienceSPINS Data Delivery ExpertiseSQL ProficiencyStrong Communication SkillsOrganizational Skills

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data SpecificationsData Volume ManagementSyndicated Retail DataSPINS ExtractsSPINS SharesSPINS IntelligenceSQLBI ToolsCloud Data DeliveryData Ingestion
Soft Skills
Excellent CommunicationAttention to DetailCalm Client InteractionOrganizational Skills
Tools & Technologies
SalesforcePlanhatGongPower BITableauSnowflakeBigQueryDatabricksSatori
Industry Keywords
CPG DataData GovernanceClient EngagementData Delivery ConceptsChange Management

Tech Stack

Tools & technologies
BigQueryCloudSnowflakeSQLTableau

About the role

Key responsibilities & impact
  • Lead client discovery conversations about large data Extracts, including usage, business questions, frequency, downstream destinations and stakeholders
  • Identify overlap and redundancy across client Extracts and recommend efficient delivery paths, including SPINS Shares, SPINS Extracts, Managed Extracts, SPINS Intelligence or discontinuation
  • Capture and confirm Extract-level data specifications covering 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 onboarding handoff
  • Guide clients on data volume and cell-count trade-offs and identify scope expansions requiring commercial discussion
  • Communicate evolving guidance, log open questions and escalate issues 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 pre-sale clients with questions about SPINS Shares and SPINS Extracts capabilities and data delivery

Requirements

What you’ll need
  • 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, 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, such as Snowflake, BigQuery, Databricks or Amazon S3
  • 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

Benefits

Comp & perks
  • 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