IFRS Reporting Analyst supporting consolidation, intercompany reconciliations, and IFRS reporting for MGID’s global native advertising platform. Improving standardized finance processes across international entities.
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
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