[Remote] AI Data Analyst
Note: The job is a remote job and is open to candidates in USA. Datavations is the leading provider of SKU and store-level point-of-sale data for the home improvement retail industry. They are seeking an AI Data Analyst to deliver high-quality insights to manufacturer clients using POS and retail sales data, leveraging their AI-powered analytics platform, Bolt, to enhance analysis and client interactions.
Responsibilities
- Conduct custom analysis of POS and retail sales data for manufacturer clients, delivering insights that support strategic decisions around pricing, assortment, and market share
- Partner directly with clients to scope analytical requests—ask sharp questions, define the right approach, and manage expectations throughout the project lifecycle
- Translate client business problems into research frameworks and produce polished, executive-ready deliverables including deep-dive reports and PowerPoint presentations for merchant meetings, QBRs, and product line reviews
- Write and refine SQL queries and Python scripts against our ClickHouse data warehouse to extract, transform, and analyze large-scale retail datasets
- Help design the frameworks, templates, and operational processes the research team will use as we scale
- Partner cross-functionally with marketing to provide data-backed insights for content creation and thought leadership
- Serve as a primary power user of Bolt—testing its capabilities against real client needs and pushing it to automate an increasing share of recurring analytical workflows
- Provide structured, actionable feedback to the Bolt development team based on day-to-day client work, helping prioritize features and surface gaps in platform coverage
- Apply your analytical expertise to develop reusable patterns, templates, and evaluation cases that improve Bolt's accuracy and coverage
- Help evaluate Bolt's analytical outputs for accuracy and relevance, contributing to quality benchmarks grounded in real-world use cases
Skills
- At least 2 years of professional experience in a research, data analysis, or insights-driven role
- Experience analyzing POS, retail sales, or similar transactional data in a professional setting
- Strong SQL skills—you can write complex queries involving window functions, CTEs, joins across large tables, and aggregations with confidence
- Proficiency in Python for data analysis, scripting, and automation
- Expert-level skills in Excel and PowerPoint; ability to take raw data and turn it into a clear, compelling story for a non-technical audience
- Client-facing communication skills—comfortable leading calls, asking probing questions, and managing stakeholder expectations
- Experience with Git and GitHub-based development workflows
- Self-starter mentality—you move fast, stay motivated, and take ownership without needing to be micromanaged
- Startup agility—comfortable with ambiguity and wearing multiple hats in a fast-paced environment
- Experience with AI coding tools, particularly Claude Code or similar LLM-assisted development workflows
- Familiarity with LLM application development (prompt engineering, tool-calling patterns, evaluation frameworks)
- Experience with ClickHouse or other columnar / analytical databases
- Background in the home improvement, retail, or CPG industries
- Experience building or contributing to data products or internal analytics platforms
Benefits
- Equity
- Performance bonuses
- A comprehensive benefits package
- Autonomy & Growth: Enjoy the freedom to experiment with new technologies and see your ideas realized in production.
- Collaborative Culture: Work alongside a supportive team that values positivity, proactive ownership, and continuous learning.
- Professional Development: Work with the latest technology in the AI stack
Company Overview
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