Bluecubeservices is hiring a Web3 People Data Analyst
Compensation: $79k - $87k estimated
Location: Remote
Job Location: Philippines Job Description: Blue Cube Services Ltd. is looking for a motivated, detail‑oriented People Data Analyst to support our People Success team. You will focus on data preparation, recurring reporting, dashboard upkeep, and quality checks - helping transform people data into clear, reliable insights for HR and business partners. You’ll thrive in a high‑growth environment where processes are evolving, and you’ll contribute to building scalable, efficient reporting while learning from and partnering closely with the wider People team. WHAT YOU WILL DO:
Reporting Support: Prepare and refresh recurring people metrics (e.g. headcount, attrition/retention, tenure, internal moves, compensation) on monthly/quarterly cadences. Ensure figures reconcile and are delivered on time. Data Preparation & QA: Validate and clean datasets from HR systems (Rippling HRIS, Greenhouse ATS, payroll providers). Run data quality checks, flag anomalies, and document fixes. Dashboard Upkeep: Update and QA existing dashboards, ensure filters and definitions work as intended, and make layout/content tweaks as directed. Ad‑Hoc Analysis: Pull extracts and run basic analyses (pivots, lookups, simple SQL queries) to support data analysis and investigations. Documentation: Maintain data processing notes so logic is traceable and repeatable. Privacy & Security: Handle sensitive employee data responsibly, follow access controls, and support compliance with data‑privacy requirements. Continuous Improvement: Identify opportunities for automation and propose improvements that enhance our produced insights.
WHAT YOU WILL NEED:
1–2 years of experience in data/people analytics, HR reporting, or a similar analytical role (internships and project experience welcome). Strong Excel/Google Sheets skills (pivots, lookups, nested formulas) a must. Familiarity with BI tools (e.g. Power BI, Tableau, or Looker) is a plus. Experience with HR data, especially from HRIS/ATS/payroll platforms would be beneficial. An analytical and data driven mindset: you will be viewing large data sets and looking for trends at a deep level. Strong attention to detail, organisation, and follow‑through; comfortable managing tasks independently and escalating blockers early. Fluency in English, written and spoken.
COMPENSATION & PERKS:
Competitive compensation, in cryptocurrency. The opportunity to progress for high performers. Remote working
Apply Now:
Compensation: $79k - $87k estimated
Location: Remote
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