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naukri

Cards Analytics Specialist

Client of Outsized
Qatar, QAT
Senior
1 weeks ago
Data AnalysisTableauPower BIPortfolio ManagementCampaign MeasurementSQL
Free

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Key skills for this role

Data AnalysisTableauPower BI
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Key Activities

  • Portfolio performance reporting & monitoring (~35%): Build, maintain, and deliver recurring and ad hoc performance dashboards covering acquisition, activation, spend, ENR, delinquency, attrition, and profitability metrics across the card portfolio.
  • Portfolio diagnostics & segmentation analysis (~25%): Conduct deep dive analyses on portfolio segments (by product, channel, customer cohort, vintage) to identify performance drivers, risks, and growth opportunities.
  • Campaign measurement & effectiveness analysis (~20%): Design and execute pre/post campaign analytics including control group methodology, ROI calculation, and response rate analysis to measure and optimise marketing and engagement campaigns.
  • Data driven decision support (~15%): Provide structured analytical support to Cards Product, Portfolio, Marketing, and Risk teams through insight packs, business cases, and scenario analyses.
  • Data quality & automation (~5%): Identify opportunities to improve data integrity, automate recurring reports, and enhance self serve analytics capabilities for business users.

Additional Details

  • Own and deliver the recurring cards portfolio performance reporting suite (daily/weekly/monthly), ensuring timely, accurate, and insight rich output.
  • Diagnose portfolio health by conducting segmentation, cohort, vintage, and trend analyses across the card lifecycle.
  • Design and execute campaign measurement frameworks including A/B testing structures, control groups, uplift calculations, and ROI analysis.
  • Develop and maintain interactive dashboards and visualisations (Tableau / Power BI) that enable stakeholders to self serve.
  • Translate analytical findings into clear, concise insight packs and presentations for senior management.
  • Collaborate cross functionally with Product, Marketing, Risk, Operations, and Finance teams.
  • Continuously improve data extraction, transformation, and reporting processes.

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