Data Analytics & Revenue Reporting Specialist [2642-123348]
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Job description
Company Overview
Position Overview
Role Details
Responsibilities
- ARR & MRR Reporting: Monitor, analyze, and report on core SaaS revenue metrics including new, upgrade, downgrade, expansion, and churned ARR/MRR during key financial reporting windows.
- Dashboard Development & Maintenance: Build, enhance, and maintain intuitive dashboards and reports using Looker Studio, Excel, and Google Sheets to visualize trends and KPIs for executive stakeholders.
- Data Reconciliation & Validation: Validate data consistency and identify discrepancies across enterprise platforms, including Salesforce (CRM), NetSuite (ERP), Stripe (Billing), and BigQuery (Data Warehouse).
- Data QA & Troubleshooting: Quality assure upstream and downstream data feeds, perform root-cause analysis on reporting discrepancies, and ensure data integrity across the entire analytics pipeline.
- Strategic Project Support: Actively support ongoing transformation projects, assisting in defining metrics, refining data models, and establishing automated reporting workflows.
- Financial Modeling & Forecasting: Assist finance and revenue operations in creating and updating forecasting models, scenario analyses, and customer retention/churn analytics.
- Cross-Functional Collaboration: Partner closely with Finance, Sales, Strategy, and Data Engineering teams to align on metric definitions, reporting cadences, and data taxonomy.
- Insight Translation: Translate intricate, multi-layered financial datasets into clear, actionable recommendations and narratives for non-technical leadership and stakeholders.
Experience & Requirements
- Professional Experience: 2–3+ years of professional experience in revenue analytics, financial data analysis, business intelligence, or SaaS revenue reporting.
- SaaS Metric Mastery: Thorough understanding of SaaS subscription models and key financial metrics (ARR, MRR, Net Revenue Retention, Gross Retention, Churn, ARPU, LTV, CAC).
- Advanced SQL & Big Data: Strong proficiency in writing complex SQL queries to extract, transform, and analyze datasets stored in data warehouses such as Google BigQuery.
- Spreadsheet Proficiency: Expert knowledge of Excel and Google Sheets, including advanced formulas, pivot tables, financial modeling, and scenario testing.
- BI & Visualization: Demonstrated experience constructing, maintaining, and troubleshooting dashboards in Looker, Looker Studio, or comparable BI tools.
- Data Reconciliation & Systems: Proven ability to validate and reconcile cross-system data involving Salesforce, NetSuite, Stripe, and modern enterprise data pipelines (ETL/ELT).
- Technical Familiarity: Hands-on familiarity with Stripe billing configurations and transaction structures, as well as direct working experience with NetSuite ERP module reporting is a strong plus.
- Communication Skills: Professional-level written and verbal English communication skills, with a track record of clearly conveying data insights to stakeholders.
- Business Acumen: Understanding of GTM (Go-To-Market) strategies, customer lifecycle management, and enterprise financial planning is nice to have.
Originally posted on Himalayas
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