Data Analytics & Revenue Reporting Specialist (part-time)

Manila
LevelUp – Finance /
Remote

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Data Analytics & ARR Reporting (part-time)

  • Notice Period✱
  • Expected Salary✱
  • Source of Application✱
  • For referral, kindly indicate the name of the referring employee✱
  • Preferred Work Schedule:✱
  • This role is ideal for someone who can dedicate full 6-8 hours workdays during the first week of each month to support our Annual Recurring Revenue (ARR) and subscription-based reporting efforts. Are you available for 6-8 full hours during the first week of each month?✱
  • Are you open to working graveyard/night shift if required?✱
  • What type of role are you currently looking for?✱
  • Have you previously tracked or reported on Monthly Recurring Revenue (MRR) or Annual Recurring Revenue (ARR)✱
  • If yes, please give a brief example:✱
  • Which of the following ARR components have you worked with directly (select all that apply)✱
  • Which SaaS subscription metrics are you familiar with? (select all that apply)✱
  • Which spreadsheet tools have you used for financial analysis or modeling? (select all that apply)✱
  • Have you built or used pivot tables for revenue or financial reporting?✱
  • Which data visualization tools have you used in a professional setting? (select all that apply)✱
  • Are you familiar with data warehouses like BigQuery or Snowflake?✱
  • Have you been involved in validating or reconciling data across systems (e.g Salesforce, Stripe, ERP)?✱
  • If yes, briefly describe your approach or past issue you resolved:✱
  • Which systems have you worked with (select all that apply)✱
  • Have you supported any forecasting models or scenario analyses for revenue growth or churn?✱
  • If yes, briefly describe the objectives and tools used:✱
  • Which tools have you used for reporting or dashboarding (Select all that apply)✱
  • Have you built or contributed to revenue or churn forecasting models before?✱
  • Have you ever been responsible for validating data across multiple systems (CRM, billing, ERP)✱
  • If yes, describe the process you followed and how you identified or resolved discreppancies.✱
  • Do you have experience working with ETL or ELT pipelines✱
  • If yes, briefly explain your role in the ETL/ELT process✱
  • How comfortable are you writing SQL queries to extract data from warehouse like BigQuery?✱
  • Have you worked on tracking churned, downgraded, or upgraded ARR before?✱
  • If yes, please share a short example or describe what you did✱

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