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LevelUp

Data Analytics & Revenue Reporting Specialist

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Remote from
Philippines
Salary
Undisclosed
Department
Data Science & Analytics
Employment
Part Time
Experience
Director
Published
Apply before
21 Nov 2026
Listing views
26
Application actions
2
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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 DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe 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 analysis

Estimated 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
AI insightThe 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 skills

Skills and capabilities most closely associated with this opportunity.

SQLGoogle BigQueryLooker StudioMicrosoft ExcelGoogle SheetsRevenue analyticsARR reportingMRR reportingFinancial modelingData reconciliationSalesforceNetSuiteStripeDashboard developmentData quality assurance
Sample interview questions
How would you reconcile MRR between Stripe, Salesforce, and NetSuite when the reported values do not match?

I would first align the reporting period, currency treatment, account identifiers, and metric definitions used in each system. I would then create a record-level reconciliation that categorizes differences such as timing delays, duplicate accounts, refunds, credit notes, subscription amendments, and missing integrations. After identifying the root cause, I would document the resolution, correct the appropriate source or transformation logic, and implement monitoring to prevent recurrence.

How do you define and calculate new, expansion, downgrade, and churned MRR?

I start with a stable customer and subscription grain, then compare recurring revenue snapshots across periods. New MRR comes from customers with no prior recurring revenue, expansion and downgrade MRR capture positive or negative changes for retained customers, and churned MRR is recurring revenue lost when a customer reaches zero. I validate that the components reconcile to total period-over-period MRR movement.

Describe a complex SQL approach you would use to produce monthly recurring-revenue movements.

I would build a monthly subscription snapshot using a calendar spine, normalized subscription records, and effective start and end dates. Window functions such as LAG help compare each customer’s current recurring revenue with the prior month, while CTEs isolate account mapping, currency normalization, and movement classifications. I would add data-quality checks for duplicate subscriptions, null customer mappings, and unexpected negative values.

What makes an executive revenue dashboard effective?

An effective executive dashboard presents a small set of trusted KPIs, clear period comparisons, and visible drivers of movement rather than only raw totals. I would include ARR, MRR, retention, churn, expansion, and forecast views, with drill-down capability for customer segments or products. Definitions, refresh timing, and data ownership should be documented so stakeholders interpret metrics consistently.

How would you communicate a material reporting discrepancy to non-technical stakeholders during a monthly close?

I would communicate the business impact first, including which metric is affected, the estimated magnitude, and whether the issue changes a decision or external report. I would then provide a concise explanation of the likely cause, the current workaround or corrected figure, and a clear timeline for final resolution. This keeps stakeholders informed without overwhelming them with technical implementation details.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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

Additional Information

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