Data Analyst

2 weeks ago

Mandaluyong, Philippines Buscojobs Full time

Overview

Role mission Own the accuracy, scalability, and usability of growth-related reporting and models. Build and maintain the company’s reporting backbone across Marketing, Finance, and Sales, ensuring that leadership and teams have trustworthy, actionable data. North star: deliver reliable reporting & forecasts that directly inform growth decisions, improve efficiency, and drive ROI.

Responsibilities
  • Reporting & QA
    • Maintain core Google Sheets reports across Finance and Marketing
    • Proactively fix broken formulas and scripts, implement automation where feasible
    • Run periodic data accuracy checks, with documented QA workflows
    • Respond to feedback and requests from the Chief Analyst with high precision
  • Cross-team collaboration
    • Gather data/reporting needs from Finance, Marketing, and Sales functions
    • Translate needs into usable reports, dashboards, or analyses
    • Document reporting logic, assumptions, and workflows for transparency
  • Modeling & forecasting
    • Build financial models and forecasts that support strategic decision-making
    • Support marketing funnel analyses, sales forecasts, and growth projections
    • Apply statistical techniques to optimize conversion and campaign performance
  • Data systems
    • Work with data warehouses (e.g., Google BigQuery, Google Cloud) for advanced reporting
    • Help define the long-term reporting stack and roadmap alongside the Chief Analyst
What success looks like (KPIs)
  • Data reliability: % error-free reports over time; reduced ad hoc fixes
  • Reporting velocity: Average turnaround time for new reports or updates
  • Forecast accuracy: Variance between forecast vs. actuals within agreed thresholds
  • Automation impact: Hours saved per month from automated workflows
  • Stakeholder satisfaction: Positive feedback from Finance, Marketing, and Sales teams
Requirements
  • 2-4+ years experience in analytical or reporting-focused roles
  • Proficiency in Google Sheets (formulas, macros, Apps Script automation)
  • Experience in building financial models and forecasts
  • Some statistical background (A/B testing, conversion optimization, regression)
  • Experience with API integrations and automating data flows
  • Bonus: experience with data warehouses (Google BigQuery, Google Cloud)
Benefits
  • Location & work setup
    • Full-time, remote-first
    • CET time zone
    • Occasional travel for team meet-ups may be required
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