Data Analytics & Revenue Reporting Specialist

Data Co Lab X; Philippines; Remote; PHP 640,000 - 1,279,000; Part time

Job summary

LevelUp is seeking a highly analytical Data Analytics & Revenue Reporting Specialist to own recurring SaaS revenue reporting and data quality during monthly close cycles. The role focuses on ARR/MRR analysis, dashboard development, cross-system reconciliations, and troubleshooting data pipelines across Salesforce, NetSuite, Stripe, and BigQuery.

The position is a part-time role with an initial onboarding period and potential transition to full-time as projects scale.

Qualifications

• 2–3+ years of professional experience in revenue analytics, financial data analysis, BI, or SaaS revenue reporting.
• Thorough understanding of SaaS metrics (ARR, MRR, NRR, churn, ARPU, LTV).
• Advanced SQL for data extraction, transformation, and analysis in BigQuery.
• Spreadsheet proficiency in Excel and Google Sheets (formulas, pivots, modeling).
• BI experience with Looker Studio/Looker or similar tools.
• Data reconciliation across Salesforce, NetSuite, Stripe, and BigQuery.
• Strong communication to translate data into leadership-ready narratives.

Responsibilities

• ARR & MRR reporting during monthly close and reporting windows.
• Build and maintain dashboards in Looker Studio, Excel, and Google Sheets for executives.
• Reconcile data across Salesforce, NetSuite, Stripe, and BigQuery.
• Validate data quality and troubleshoot data pipeline issues.
• Support forecasting, metrics definition, and transformation projects.
• Collaborate with Finance, Sales, Strategy, and Data Engineering teams.

Tools

SQL

Google BigQuery

Looker Studio

Microsoft Excel

Google Sheets

Salesforce

NetSuite

Stripe

Dashboard development

Data quality assurance

Job description

LevelUp# Data Analytics & Revenue Reporting SpecialistReview the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.Apply for this job View companyRemote from: PhilippinesSalary: UndisclosedDepartment: Data Science & AnalyticsEmployment: Part TimeExperience: DirectorPublished: 22 Oct 2026Apply before: 21 Nov 2026Listing views: 887Application actions: 49Application toolkit## Make your next move.Prepare your resume, explore your fit, and draft a cover letter for this opportunity.AI Summary## The role, at a glance.LevelUp is seeking a part-time data analytics specialist to own recurring SaaS revenue reporting and data quality during monthly reporting cycles. The role focuses on ARR/MRR analysis, dashboard development, cross-system reconciliations, and troubleshooting data pipelines across Salesforce, NetSuite, Stripe, and BigQuery. The specialist will support financial forecasting, metric definition, and transformation projects while translating complex findings for Finance, Sales, Strategy, and leadership. Initial work is concentrated around the monthly close, with full-time onboarding for the first three to four weeks and possible future expansion to a full-time role.## Role DNAA quick view of the complexity, pace, ownership and collaboration implied by the job description.### Job Complexity4/5EasyHard### Pace & Pressure4/5RelaxedFast-paced### Autonomy Level4/5GuidedFull ownership### Communication Load4/5IndependentCollaborative**AI insight**The position requires strong SQL, BI, financial-metric knowledge, and the ability to reconcile revenue data across several enterprise systems. Monthly-close deadlines and responsibility for trusted executive reporting increase the role's complexity and pace.## Salary analysisEstimated compensation compared with the broader US market for similar roles.Estimated job median (per month)Market rate**$1,200**US market range (per month)**$800–$1.80k**0$1.98k**AI insight**The monthly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation is disclosed. The monthly cadence is inferred from the explicitly part-time, recurring monthly-close commitment; the displayed USD estimate reflects a specialized remote revenue-analytics role and is not employer-provided compensation.## Core skillsSkills and capabilities most closely associated with this opportunity.SQLGoogle BigQueryLooker StudioMicrosoft ExcelGoogle SheetsRevenue analyticsARR reportingMRR reportingFinancial modelingData reconciliationSalesforceNetSuiteStripeDashboard developmentData quality assurance**Sample interview questions**Opportunity details## About this role.### **Company Overview****LevelUp** is a specialist agency that provides outsourcing solutions to agencies, software vendors, and website owners. For over seven years, we have successfully collaborated with a variety of companies, providing valuable technical, operational, and back-office support. We have a large team of skilled and passionate professionals who are committed to delivering high-quality work for our clients.### ### **Position Overview**We are seeking a highly analytical, detail-oriented, and data-driven **Data Analytics & Revenue Reporting Specialist** to drive data-informed financial strategies, ensure reporting continuity, and optimize revenue performance. In this critical role, you will be responsible for keeping key recurring revenue metrics—such as Monthly Recurring Revenue (MRR) and Annual Recurring Revenue (ARR)—accurate, aligned, and timely. You will also directly support high-impact transformation projects. As a primary steward of revenue data, you will deep dive into complex datasets, construct dashboards, reconcile financial data across disparate platforms, and translate technical findings into clear, strategic narratives for leadership and cross-functional teams.**Role Details**• **Schedule:** Aligned with US Central Time (9:00 PM – 6:00 AM PH Time).• **Commitment:** Initially a specialized part-time role requiring focused dedication (6 to 8 hours per day during the first week of each month for the monthly close/reporting cycle, with full-time work required during the initial 3–4 weeks for onboarding). There is a potential pathway to transition into a full-time position as projects scale.Reference: 2642-123348### 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.### Compensation