Data Analyst, Canoe

• This position is ideal for someone who is deeply detail-oriented and enjoys turning raw data into structured outputs that generates business insights that help improve how Canoe collects, tracks, and delivers client documents
• This is a great opportunity for an early-career data analyst who wants to apply their skills in a fast-paced, high-growth technology company
• 2+ years of experience working with big data in a business or technical environment
• Strong proficiency in Excel/Google Sheets: you should be comfortable building organized, formula-driven workbooks with clean formatting
• Proficiency with SQL: ability querying and manipulating large datasets
• Familiarity with Python or other scripting languages for data analysis
• Experience with BI tools (e.g., Looker, Tableau, Power BI)
• Strong attention to detail: you take pride in data cleanliness, structure, and presentation
• Analytical thinking, intellectual curiosity, and a proactive, problem-solving mindset
• Comfort working in a fast-paced environment with evolving priorities and cross-functional stakeholders

Desirable

• As a member of our Canoe Data Team, the Data Analyst will play a critical role in ensuring Canoe’s internal datasets are clean, organized, and analytics-ready
• You’ll help monitor Canoe Connect performance, streamline data flows, and support operational decisions that directly impact delivery and client outcomes
• Clean, organize, and maintain internal Canoe datasets to ensure accuracy, consistency, and usability
• Analyze Canoe data to identify patterns, trends, gaps, and areas for operational improvement
• Monitor of existing document collection, extraction, and delivery operational workflows by analyzing Canoe Connect performance data
• Transform complex data into easily understandable visualizations by building and maintaining reporting dashboards and automated reports that track operational KPIs
• Use SQL and Python to query, clean, and manipulate large datasets to support analytical initiatives
• Deliver clear, well-structured insights and visualizations to stakeholders across the organization
• Help define and monitor metrics that support scalable and efficient growth of the Canoe Connect product
• Support client-facing teams with data requests, trend analysis, and insights that improve customer outcomes
• Collaborate with Product, Engineering, and Operations teams to inform product decisions with data and improve internal tools and workflows