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Senior Operations Insight Analyst

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Paymentology

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Location:
Norway , Oslo

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Paymentology is the first truly global issuer-processor, giving banks and fintechs the technology, team and experience to rapidly issue and process Mastercard, Visa and UnionPay cards across more than 60 countries, at scale. Our advanced, multi-cloud platform, offering both shared and dedicated processing instances, vast global presence and richer, real-time data, set us apart as the leader in payments. This role owns operational analytics and reporting across the COO’s organisation, providing critical insights that drive visibility, accountability, and efficiency across Operations. You will translate complex operational data into intuitive dashboards, automated reports, and actionable recommendations that support decision-making at all levels. Partnering closely with Data Engineering, you will help close data gaps, improve data quality, and build scalable reporting foundations to support the growth of a fast-scaling fintech.

Job Responsibility:

  • Query and model data with SQL
  • build insightful dashboards and reports in Metabase/QuickSight that track operational performance and SLAs
  • Define data requirements with data engineering/analytics
  • identify and close data quality and availability gaps affecting Ops decision-making
  • Design reporting structures and metrics that scale with business growth, enabling consistent performance tracking and accountability across the Ops group
  • Spot and size process-improvement and automation opportunities
  • pilot low-code/AI solutions to streamline reporting and accelerate insights
  • Serve as the COO’s analytical partner: produce actionable insights, recommendations, and narratives for leadership forums and initiative reviews
  • Act as a deputy to help drive COO-led improvement initiatives
  • track milestones, risks, and outcomes for key Ops projects

Requirements:

  • 4+ years in data analytics (fintech/banking/FS preferred)
  • Strong SQL
  • hands-on with Metabase or QuickSight (or similar modern BI)
  • Proven partnership with engineering to define data requirements and ensure analytical accuracy
  • understanding of data modelling for long-term usability
  • Exposure to AI/low-code for reporting automation
  • excellent communication and stakeholder management
  • Profile matches IC4 expectations for senior ICs delivering significant projects and mentoring informally

Additional Information:

Job Posted:
January 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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