
51 - 200 employees
Founded 2020
βοΈ SaaS
π€ B2B
π Retail
π° $17M Series A on 2025-07
SaaS β’ B2B β’ Retail
Datavations is a B2B merchant-enablement SaaS platform that provides cross-retailer retail analytics and execution tools for manufacturers and brands, with a particular focus on building materials and home improvement. The platform aggregates transaction and competitive data across retailers and stores (12,000+ stores tracked daily) and delivers modules for assortment optimization, inventory optimization, price optimization, category insights, PLR playbooks and custom retail analytics to help sales, national account, category and insights teams improve placements, pricing, and in-store availability.
π September 3
π½ Illinois, New York, +3 more states β Remote
π΅ $130k - $170k / year
β° Full Time
π‘ Mid-level
π Senior
π·π»ββοΈ Engineer
π» Ghost score 12%
Where this job comes from
Posted on Datavations's careers page, not through a job board
First seen by Remote Rocketship September 3
Still open on Datavations's site. Checked 1 hour ago.

51 - 200 employees
Founded 2020
βοΈ SaaS
π€ B2B
π Retail
π° $17M Series A on 2025-07
SaaS β’ B2B β’ Retail
Datavations is a B2B merchant-enablement SaaS platform that provides cross-retailer retail analytics and execution tools for manufacturers and brands, with a particular focus on building materials and home improvement. The platform aggregates transaction and competitive data across retailers and stores (12,000+ stores tracked daily) and delivers modules for assortment optimization, inventory optimization, price optimization, category insights, PLR playbooks and custom retail analytics to help sales, national account, category and insights teams improve placements, pricing, and in-store availability.
β’ Manage client relationships and provide technical support to maintain excellence and drive new product development β’ Support end-to-end implementations, ensuring data quality, adoption, and customer-specific customizations β’ Coordinate account teams and engineering resources to drive customer success β’ Execute customer needs using technical skillsets in a timely manner β’ Develop a holistic understanding of the technology from data aggregation through product delivery β’ Develop and scale technology from data pipelining to innovation, ensuring data accuracy based on client feedback β’ Develop product lines such as local pricing, ecommerce intelligence, and supply chain analysis to drive client ROI β’ Leverage data visualization and UI/UX knowledge to increase customer adoption and ease of use β’ Collaborate with data science, engineering, and sales teams β’ Inspire customers to derive value from data products β’ Document coding efforts rigorously, train incoming employees, and contribute to platform engineering efforts
β’ Analytics and/or financial reporting knowledge β’ Deep knowledge of Excel and PowerPoint, including storytelling with data β’ Outstanding expertise and hands-on experience in SQL or Python β’ Experience with project management tools such as Jira β’ Data visualization knowledge using Tableau, Excel, Power BI, or Retool β’ Understanding of time-series statistical methods for outlier detection, including Prophet, ARIMA, and Tukey's Fences β’ Experience building end-to-end data products β’ Experience driving actionable insights from alternative data sources β’ Retail/e-commerce, market research, startup, or analytical experience β’ Experience working with retail or consumer data β’ Experience scaling BI infrastructure to 10TB+ data ingestion β’ Hacker mentality β’ Preferred but not required: experience building, deploying, and maintaining dimensional data models using dbt β’ Preferred but not required: familiarity with data warehousing solutions such as Snowflake, Google BigQuery, or ClickHouse
β’ Equity may be included in total compensation β’ Performance bonuses may be included in total compensation β’ Comprehensive benefits package β’ Autonomy and freedom to experiment with new technologies β’ Professional development working with Terraform, OpenTelemetry, GenAI coding tools, and modern technologies β’ Collaborative and supportive team culture β’ Continuous learning opportunities
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