Data Analytics, Revenue Reporting Specialist

LevelUp - WordPress Technical Support & Outsourcing

. Monitor, analyze, and report on core SaaS revenue metrics including new, upgrade, downgrade, expansion, and churned ARR/MRR .

Posted 10/13/2026part-timeRemote • PhilippinesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in revenue analytics and financial data analysis, with a strong focus on SaaS subscription models and key financial metrics. Proficient in SQL, Excel, and BI tools for data validation, reporting, and actionable insights.

Highest-signal resume keywords

Revenue AnalyticsSaaS Financial MetricsSQL Query WritingLooker Studio DashboardingData Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Revenue AnalyticsFinancial Data AnalysisSQL Query WritingExcel ProficiencyGoogle Sheets ProficiencyLooker StudioData ValidationFinancial ModelingScenario TestingData Reconciliation

Soft Skills

Professional Communication

Tools & Technologies

SalesforceNetSuiteStripeGoogle BigQueryLookerETL/ELT

Industry Keywords

SaaS Subscription ModelsARRMRRChurnCustomer Lifecycle Management

Tech Stack

Tools & technologies

BigQueryERPETLSQL

About the role

Key responsibilities & impact

Monitor, analyze, and report on core SaaS revenue metrics including new, upgrade, downgrade, expansion, and churned ARR/MRR
Build, enhance, and maintain dashboards and reports using Looker Studio, Excel, and Google Sheets
Validate data consistency and identify discrepancies across Salesforce, NetSuite, Stripe, and BigQuery
Quality assure upstream and downstream data feeds and perform root-cause analysis on reporting discrepancies
Support transformation projects by defining metrics, refining data models, and establishing automated reporting workflows
Assist finance and revenue operations with forecasting models, scenario analyses, and customer retention/churn analytics
Collaborate with Finance, Sales, Strategy, and Data Engineering teams on metric definitions, reporting cadences, and data taxonomy
Translate complex financial datasets into actionable recommendations for non-technical leadership and stakeholders

Requirements

What you’ll need

2–3+ years of professional experience in revenue analytics, financial data analysis, business intelligence, or SaaS revenue reporting
Thorough understanding of SaaS subscription models and key financial metrics (ARR, MRR, Net Revenue Retention, Gross Retention, Churn, ARPU, LTV, CAC)
Strong proficiency in writing complex SQL queries
Experience with data warehouses such as Google BigQuery
Expert knowledge of Excel and Google Sheets, including advanced formulas, pivot tables, financial modeling, and scenario testing
Experience constructing, maintaining, and troubleshooting dashboards in Looker, Looker Studio, or comparable BI tools
Ability to validate and reconcile cross-system data involving Salesforce, NetSuite, Stripe, and modern enterprise data pipelines (ETL/ELT)
Hands-on familiarity with Stripe billing configurations and transaction structures
Direct working experience with NetSuite ERP module reporting is a strong plus
Professional-level written and verbal English communication skills
Understanding of GTM strategies, customer lifecycle management, and enterprise financial planning is nice to have

Benefits

Comp & perks

Potential pathway to transition into a full-time position as projects scale