Data Analytics & Revenue Reporting Specialist [2642-123348]
A data analytics and revenue reporting specialist keeps SaaS revenue metrics (MRR/ARR) accurate and timely: building dashboards in Looker Studio/Excel/Google Sheets, reconciling data across Salesforce, NetSuite, Stripe, and BigQuery, and supporting forecasting and transformation projects. Initially part-time, working US Central hours (nights) from Manila.
- Compensation
- Not disclosed
- Location
- Manila
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Part time
- Experience
- Not specified
- Category
- Data analytics
- Posted
Skills
Must have
- 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 writing complex SQL queries against 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
- Proven ability to validate and reconcile cross-system data involving Salesforce, NetSuite, Stripe, and ETL/ELT pipelines
- Professional-level written and verbal English communication skills
Nice to have
- Hands-on familiarity with Stripe billing configurations and transaction structures
- Direct working experience with NetSuite ERP module reporting
- Understanding of GTM strategies, customer lifecycle management, and enterprise financial planning
Full description
Company OverviewLevelUp 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 and detail-oriented Data Analytics & Revenue Reporting Specialist to join our team on a part-time basis. This role is ideal for someone who can dedicate 6 to 8 hours per day during the first week of each month to support Annual Recurring Revenue (ARR) and subscription-based reporting efforts. The ideal candidate will have a strong grasp of SaaS metrics, revenue data analytics, and business intelligence tools. You will play a key role in tracking, analyzing, and reporting critical revenue data that supports strategic decisions across finance, sales, and growth 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
- Support the MRR Transformation Project; This will automate the month end reconciliation process, reduce the time to deliver and add more granular cuts of information (eg. Product overview)
- 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.