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Datavations

SKU-level retail analytics for manufacturers

Sales Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 3 years in a technical, pre-sales, or solutions-consulting role such as sales engineering, solutions consulting, technical account management, or a similarly analytical customer-facing role.
  • Strong quantitative and analytical skills, including comfort working directly with data using spreadsheets, SQL or similar query languages, and business intelligence or reporting tools, and the ability to catch errors before they reach a customer.
  • Strong presentation and communication skills, including experience adapting technical material for different audiences and senior stakeholders.

Responsibilities

  • Turn raw data into clear, structured analysis tied to the specific business decision the audience is making.
  • Scope technical requirements and build supporting pricing or proposal materials, surfacing feasibility issues early in the sales cycle.
  • Build and deliver product demonstrations and analytical presentations, including to senior and executive audiences, and adapt in real time when findings are challenged.
  • Run correlation and variance analysis to validate company data against a prospect’s data, and explain the methodology clearly to technical and non-technical audiences.
  • Work closely with sales, customer success, and product teams, including providing a clean handoff of documentation once a deal closes.
  • Work fluently with data and analytics tools, including spreadsheets, SQL or similar, business intelligence and reporting tools, and Claude; learn new tools, including AI-assisted workflows.

Desired Qualifications

  • Experience with retail or consumer packaged goods point-of-sale, syndicated, or panel data.

About the Company

Datavations

SKU-level retail analytics for manufacturers

Datavations provides a SaaS analytics platform called Commerce Alert Hub that gives manufacturers in consumer durables and home improvement SKU-level insights on pricing, inventory, assortment, and distribution across Pro and DIY channels. It works by analyzing point-of-sale data, inventory levels, and market trends with machine learning and AI to produce actionable recommendations. Unlike many analytics providers, it combines Pro and DIY channel data to deliver real-time, category-specific guidance and clear next steps. Its goal is to help manufacturers increase market share and profit margins by optimizing pricing, inventory, and assortment and by improving supply chain performance across North America.

Company size
51-200
Company stage
Series A
Total funding
$23.9M
Headquarters
New York City, New York
Founded
2020

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