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remoteroles

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

remoteroles summary, based on the employer's posting.

What you'll do

  • Help automate month-end reconciliation, speeding delivery and adding product-level detail to revenue reports
  • Track new, upgraded, downgraded and churned ARR, then show key patterns in Looker dashboards and spreadsheets
  • Check revenue records across CRM, billing and ERP platforms, and investigate inconsistencies between sources
  • Help update revenue forecasts and test scenarios involving growth and churn
  • Turn complex findings into clear guidance for finance, sales and strategy teams, aligning metrics and reporting schedules

What you bring

  • You can model revenue in Excel or Google Sheets, including pivot tables and VLOOKUPs, and build reports in Looker or similar tools
  • You can use SQL to query a warehouse such as BigQuery and understand ETL or ELT data flows
  • You have reconciled information across platforms and understand SaaS subscription measures, including ARR, MRR and churn
  • You can troubleshoot report or source-data problems and explain findings clearly to cross-functional partners

Who this fits

This part-time role suits someone able to concentrate on the monthly reporting cycle, with six to eight hours of work per day in its opening week. Onboarding requires full-time work during the initial three to four weeks. The schedule aligns with US Central Time, shown as 9:00 PM to 6:00 AM in the Philippines. It is remote and based in Manila.

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

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

Each morning you get everything that fits, strongest first.

Data Analysis & BIRemote

Find me work

By the team behind remoteroles.

Find me work
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 remoteroles.