Data Analyst

Position Overview The successful candidate will have the opportunity to grow withing a large-scale data environment. If the candidate performs well, there is a good chance of extension. Key Responsibilities • Ingest and transform data from multiple sources (e.g., BigQuery, SQL Server, CSV) using SQL and Python. • Build and maintain Power BI reports and dashboards for CIAM fraud metrics, trends and patterns across channels and geographies. • Track and report CIAM KPIs and produce weekly/monthly insights decks with trend analysis and operational recommendations. • Support root-cause analysis and post-incident reporting with clear, concise data narratives. • Execute ad hoc queries to answer business questions around control performance, user journeys and fraud patterns. Required Qualifications • 2–4 years of hands-on experience as a Data Analyst or Reporting Analyst • Proficiency in SQL for querying large datasets. • Practical experience with Power BI and building dashboards. • Experience working in Agile teams and tools (Jira, Confluence). • Exposure to Python, BigQuery or similar cloud data warehousing. Preferred Qualifications • Experience in Fraud Analytics, CIAM, or Cybersecurity analytics. • Prior global financial institution or large-scale data environment experience. Soft Skills Detail-oriented with strong communication skills and analytical thinking. Education and Certification Bachelor’s degree in a STEM field such as computer science, engineering, technology, statistics, mathematics or a related field is required