Fraud Technical Data Analyst

Bankstcharles

Northampton, United Kingdom
Sas and sql for data exploration
Data pipelines automation
Machine learning/ai techniques
Enable data-driven strategic and operational decision making through extracting actionable insights from large datasets

Job Summary

  • Enable data-driven strategic and operational decision making through extracting actionable insights from large datasets.
  • Design and build data pipelines to automate data movement and processing, applying advanced analytical techniques.
  • Collaborate closely with other functions/business divisions to advise and influence decision making and mitigate risk.

Matching Summary

Enable data-driven strategic and operational decision making through extracting actionable insights from large datasets.

Skills & Requirements

Must-have

  • SAS and SQL for data exploration
  • Data pipelines automation
  • Machine learning/AI techniques
  • Interactive dashboards and visual reports
  • Data quality, lineage, and controls analysis

Nice-to-have

  • Fraud prevention, detection, or investigation
  • AWS, Spark, Databricks knowledge
  • Data compliance expertise
  • Cross-functional collaboration skills
  • Creative problem-solving abilities

Key Requirements

  • Experience with ETL, CDC, and data warehousing tooling
  • Experience capturing business needs into technical solutions
  • SAS, AWS, or Python certifications
  • Tableau or Power BI experience
  • Working across time zones

Work Rights

Not specified

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