Senior Data Analyst - Business Insights & Operations
RemoteUnited States or Canada
Job Summary
Design and maintain unified reporting pipelines that pull from CRM, accounting, and operational databases to create a single source of truth for Product, Finance, and Leadership. Replace manual exports with real-time data refreshes and define shared metric definitions for MRR, churn, and customer health scores. Partner with Data Engineering on Redshift and MongoDB Atlas architecture while evaluating BI tooling like ThoughtSpot. Build AI-powered agents that automate anomaly detection, draft executive summaries, and translate natural language queries into SQL or aggregation pipelines. Own the recurring business review package and support board reporting with consistent, defensible numbers.
Required Qualifications
- 5+ years in data or business analytics, analytics engineering, or a similar cross-functional analytics role
- Strong SQL and hands-on experience with a cloud data warehouse (ideally Redshift)
- Experience with a BI/visualization tool (we currently use ThoughtSpot; experience with Looker, Tableau, Mode, Hex, or Power BI also welcome)
- Demonstrated use of AI tools (Claude, ChatGPT, or similar) to automate analysis, build agents, or accelerate reporting workflows
- Experience building data models or a semantic layer that multiple teams can report from consistently
- Comfort connecting and reconciling data across disparate systems (CRM, billing/ERP, product analytics, support/ticketing platforms like Freshdesk)
- Excellent stakeholder skills, able to work equally well with Engineering, Data Engineering, Finance, Sales, CS, and Leadership, and to push back productively when a request needs sharpening
Desired Qualifications
- Hands-on experience querying NoSQL/document databases, ideally MongoDB and its aggregation framework
- Experience in fintech, SaaS, or a usage/subscription-based business model
- Comfortable using AI coding tools (e.g., Claude Code) to build and maintain automation pipelines, with enough Python/SQL literacy to review, debug, and validate the code they generate
- Experience partnering with (not replacing) existing Finance and Revenue Operations analytics functions
- Experience evaluating, selecting, or migrating BI/analytics tooling (e.g., ThoughtSpot, Looker, Tableau, Mode, Hex, Power BI) as a business scales
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