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

Requirements

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

Benefits

Impact at Scale: Influence a $2.3 trillion industry by shaping how data science accelerates ROI for major manufacturers.
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

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLPythondata analysisdata transformationdata extractionExcelPowerPointanalytical frameworksdata visualizationtransactional data analysis

Soft Skills

client-facing communicationstakeholder managementproblem-solvingself-starter mentalityagilityownershipcollaborationcritical thinkingpresentation skillsproject management