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Senior Business Analyst
LinkedIn Recruiter Post
Senior Business Analyst for Ontario public sector. Must have extensive BA experience, strong analytical skills, and proficiency with Microsoft 365 and Azure DevOps.
About the role
- Senior Data Analyst building shared reporting, data pipelines, and AI-powered analytics for Spinwheel’s intelligent debt-management platform. Connecting revenue, product usage, and customer health insights across the company.
Responsibilities
- Build and maintain unified reporting across CRM, accounting, invoicing, and operational databases
- Replace manual exports with reliable, near-real-time data pipelines and refresh cadences
- Define and document shared metric definitions such as MRR, activation, and churn
- Partner with Data Engineering on pipelines feeding Redshift and MongoDB Atlas
- Evaluate BI and analytics tooling, including potential migration from ThoughtSpot
- Extend revenue reporting into shared dashboards with Finance
- Surface collections and billing risk and support revenue reconciliation
- Build cohort and retention analyses
- Query MongoDB Atlas to create adoption, activation, and engagement dashboards
- Track API and feature usage and connect usage patterns to retention and expansion
- Measure the impact of product releases and features
- Build customer health scores using usage, support activity, and sentiment
- Flag renewal risk and expansion opportunities for Customer Success and Sales
- Connect pipeline, funnel, and campaign data with business metrics
- Support win/loss, attribution, and sales-cycle analysis
- Own recurring business review reporting and support board reporting and OKR tracking
- Translate cross-functional business questions into analysis
- Build Claude-powered natural-language query agents
- Create automated anomaly detection and Slack alerting
- Use AI to draft business review summaries and reconcile cross-system mismatches
- Mine call transcripts and support tickets for themes and risk signals
- Package agents and workflows as reusable internal tools
- Map systems of record and identify reporting gaps during the first 90 days
- Deliver trusted product usage, customer health, and revenue reporting within six months
Requirements
- 5+ years in data or business analytics, analytics engineering, or a similar cross-functional analytics role
- Strong SQL
- Hands-on experience with a cloud data warehouse, ideally Redshift
- Experience with a BI/visualization tool; ThoughtSpot, Looker, Tableau, Mode, Hex, or Power BI
- Demonstrated use of AI tools such as Claude or ChatGPT to automate analysis, build agents, or accelerate reporting workflows
- Experience building data models or a semantic layer used consistently by multiple teams
- Experience connecting and reconciling data across CRM, billing/ERP, product analytics, and support/ticketing platforms such as Freshdesk
- Excellent stakeholder skills and ability to work with Engineering, Data Engineering, Finance, Sales, CS, and Leadership
- Hands-on experience querying NoSQL/document databases, ideally MongoDB and its aggregation framework (preferred)
- Experience in fintech, SaaS, or usage/subscription-based business models (preferred)
- Comfortable using AI coding tools such as Claude Code, with enough Python/SQL literacy to review, debug, and validate generated code (preferred)
- Experience partnering with existing Finance and Revenue Operations analytics functions (preferred)
- Experience evaluating, selecting, or migrating BI/analytics tooling (preferred)
Benefits
- Competitive salary and equity opportunities
- Unlimited PTO
- Flexible schedule
- Paid holidays
- Comprehensive health, dental, and vision insurance
- 100% remote-first culture
- Semi-annual company retreats
- Real opportunities to shape how the whole company sees and uses its data
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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