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Data Analyst (Operations Intelligence & Strategy)

Tap PaymentsRiyadh, KSA2 months agoSenior
Seniorfulltime

Skills

SQLPythonR Programming

About This Role

Overview

  • As a Tapster you will:
  • Define the criteria and formulas for all key Ops metrics acceptance rates, chargeback ratios, onboarding TTL, KYC queue age, SLA breach rates, dispute resolution times, and more
  • Work with the Ops leadership team to design new KPIs when new domains or functions are added
  • Review existing dashboards and reports to identify measurement inconsistencies, formula errors, or misleading representations
  • Guide the React Native Engineers and product teams on how to build data pipelines and dashboard visualisations that correctly reflect defined formulas
  • Produce cohort analyses comparing merchant segments, market performance, BIN group behaviour, or time-period comparisons
  • Define segmentation logic which merchants go into which cohort, what counts as an 'active' merchant, what defines a 'failed' transaction
  • Develop and maintain a Metrics Dictionary: a living document that defines every metric Ops reports, including formula, data source, refresh frequency, and known limitations
  • Validate data quality working with Engineering to identify data gaps, duplicate entries, or incorrect event tracking that affects report accuracy
  • Support leadership sessions with ad-hoc analysis pulling specific data cuts to answer leadership questions that go beyond standard dashboards
  • Work with GRC and Finance to ensure Ops metrics align with regulatory reporting requirements and financial reconciliation standards

Key Deliverables

  • Metrics Dictionary: Complete documentation of every Ops KPI formula, source, owner, refresh rate
  • Dashboard Review: Monthly review of all active Ops dashboards for accuracy and consistency
  • Cohort Analysis: Quarterly cohort performance reports across merchant segments and markets
  • Ad-hoc Analysis: Turnaround within 48 hours for leadership-requested data cuts
  • Data Quality Report: Quarterly report on data quality issues affecting Ops reporting

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