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Data Analytics & Revenue Reporting Specialist (part-time)

Posted 1 day agoViewed

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📍 Location: US, UK, Europe, Canada

🔍 Industry: BPO

🪄 Skills: SQLBusiness IntelligenceData AnalysisETLSalesforceReportingData visualizationFinancial analysisData modelingData analyticsSaaS

Requirements:
  • Proficiency in Excel / Google Sheets including pivot tables, VLOOKUPs, and financial modeling
  • Experience building data dashboards and reports in Looker or similar BI tools
  • Strong grasp of SQL and ability to query data from data warehouses such as BigQuery
  • Familiarity with ETL/ELT concepts and understanding of how data flows from transactional systems to analytics platforms
  • Experience validating and reconciling data from multiple platforms (e.g., Salesforce, NetSuite, Stripe, BigQuery)
  • Understanding of data warehousing, data transformation, and data modeling
  • Strong understanding of SaaS business models and key subscription-based metrics: ARR, MRR, Churn, ARPU, LTV, CAC, Gross/Net Revenue Retention
  • Familiarity with billing systems like Stripe and ERP systems like NetSuite
  • Business acumen around how revenue metrics impact GTM strategy, customer lifecycle, and financial planning
  • Strong attention to detail and commitment to data accuracy
  • Ability to QA and debug issues in reporting outputs and upstream data sources
  • Excellent communication skills, including the ability to simplify complex data stories for cross-functional stakeholders
  • Highly organized, self-motivated, and comfortable working independently in a fast-paced environment
Responsibilities:
  • Monitor and report on ARR metrics including new, upgrade, downgrade, and churned ARR.
  • Build and maintain dashboards using Looker and spreadsheets (Excel/Google Sheets) to present key metrics and trends clearly.
  • Perform data quality checks and identify discrepancies across systems (e.g., CRM, billing, ERP).
  • Assist in creating and maintaining forecasting models and scenario analyses related to revenue growth and churn.
  • Validate data consistency across platforms like Salesforce, NetSuite, Stripe, and BigQuery.
  • Translate complex data into clear insights and actionable recommendations for cross-functional stakeholders.
  • Understand the flow of data from source systems to reporting tools, collaborating with data teams to ensure accuracy.
  • Work closely with finance, sales, and strategy teams to align on revenue metrics, definitions, and reporting cadence.
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