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Data Analytics & Revenue Reporting Specialist [2642-123348]

LevelUp levelup.support Open
Remote Manila Part-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at LevelUp. Remote, Philippines · part-time.

Pay not stated Data Analysis & BI salary

RoleData Analysis & BI
SeniorityMid-level
LocationManila
WorkplaceRemote
EmploymentPart-time
PostedOct 13, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Help automate month-end reconciliation and add more detailed views, including product-level reporting
  • Track new, upgraded, downgraded and churned ARR, then present the results in dashboards and spreadsheets
  • Check revenue data across systems, investigate mismatches and work with data teams to improve reporting accuracy
  • Support revenue forecasts and scenario analysis, turning findings into useful guidance for finance, sales and strategy teams

What you bring

  • You can model financial data in Excel or Google Sheets, including with pivot tables and VLOOKUPs
  • You have built dashboards in Looker or a comparable BI platform and can query warehouses with SQL
  • You understand SaaS subscription measures such as ARR, MRR, churn and revenue retention
  • You can reconcile data across business platforms and understand how records move from source systems into analytics

Who this fits

This part-time role suits someone comfortable working independently on revenue reporting and monthly close. Plan for six to eight hours daily during the first week of each month, aligned to US Central Time, plus full-time onboarding during the initial three to four weeks. The role is remote from the Philippines, with a possible move to full-time as projects grow.

From the employer

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 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.

Experience & 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

More Information

  • We have a company culture that focuses on the well-being of its team members, with a good work life balance and respectful work environment.
  • Benefits: Basic Philippines government-mandated benefits (13th-month pay, SSS, PhilHealth, Pag-IBIG), remote setup support, and holiday observance of Philippine holidays.
  • Equipment provided
Opportunity

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Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.