Retail intelligence platform for home improvement manufacturers
Datavations builds analytics tools for building materials and home improvement manufacturers, tracking competitive activity across major retailers. The tech stack is analytics-heavy (ClickHouse, dbt, Snowflake, Tableau, Power BI) with core infrastructure on AWS and data pipelines in SQL/Python — a pattern common to data-first SaaS. Active projects show infrastructure scaling (Fargate, Terraform, 10TB+ daily ingestion) and product expansion (next-gen data suite, new client applications), while pain points center on data quality, forecast accuracy, and pipeline reliability, suggesting growth is outpacing operational maturity.
Datavations delivers market intelligence and analytics to home improvement and building materials manufacturers, focusing on retail visibility into Home Depot, Lowe's, and Menards. The platform provides assortment optimization, inventory tracking, pricing monitoring, and competitive market insights aimed at sales, supply chain, pricing, and inventory teams. Founded in 2020 and based in New York, the company operates with 51–200 employees across data, engineering, sales, and marketing. Current initiatives include infrastructure scaling to handle daily data volumes exceeding 10TB, advanced analytics product suite development, and expanding into additional retail channels.
Datavations uses ClickHouse, dbt, SQL, Python, PostgreSQL, and Redshift for data pipelines; Snowflake for warehousing; Tableau and Power BI for analytics; Salesforce for CRM; and AWS (including Fargate and Terraform) for infrastructure.
Yes. Datavations has 2 active engineering roles with accelerating hiring velocity. Recent openings span data and engineering teams, with mix of senior, manager, and mid-level positions across US locations.
Active projects include infrastructure-as-code implementation, automation of manual processes, validation frameworks, next-generation data product suite, new client applications, and an AI-assisted deal review tool.
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