Levelup

Data Analytics & Revenue Reporting Specialist [2642-123348]

Manila

Live, first seen by us 21 days ago

Pay: Pay not listed
Work setting: Remote — work setting source
Work setup in the employer’s posting: remote
From the employer’s posting
Employment: Part-time — employment source
Employment type Part-time
Employment type in the employer’s posting: Part-time
From the employer’s posting

What you’ll work on

Full posting

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.
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.

From the employer’s posting

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.

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.

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).

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Status in our records: Live
First seen by us: Oct 13, 202621 days ago
Recorded sightings: 22
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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Day 21

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Levelup is hiring

1 open job

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See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

SQL
BigQuery
Excel
Looker

Where the posting names them

- 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

- 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.

- 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

- 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).

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

- 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

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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

Employment type

Part-time

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