Data Analytics Senior Lead Analyst

<p><b><i>Job Summary: </i></b></p><p>The Citi Security and Investigative Services (CSIS) Data Analytics Sr. Lead Analyst is a senior-level individual contributor role requiring deep expertise in data analytics, business intelligence, and risk-focused analysis. The role is responsible for conducting advanced analysis of structured and unstructured data to uncover insights that support Citi’s efforts to mitigate fraud, conduct, compliance, and operational risks. The analyst will use data-driven storytelling to translate complex analytical findings into compelling narratives for senior stakeholders, including the Chief Security Officer. This position plays a critical role in shaping strategic decisions through data and will be expected to brief executive leadership regularly.</p><p>The role is based in Budapest and reports to the CSIS Global Director for Business Analytics, eDiscovery, and Data Governance.</p><p></p><p><b><i>Business description</i></b><i>:</i></p><p>Citi Security and Investigative Services (CSIS) is a full-service security and investigative team that protects the assets, integrity, and reputation of Citi and its clients. CSIS provides in-house professional security services and independent investigations across all Citi businesses and regions, partnering with law enforcement, governments, and industry peers.</p><p>The CSIS Business Analytics function supports Citi’s decision-makers with strategic guidance by delivering actionable insights derived from accurate, data-driven analysis. The team’s scope ranges from recurring reporting to advanced dashboards and predictive analytics. The analyst will work closely with cross-functional teams to understand business needs and translate them into analytical solutions that drive performance and risk mitigation.</p><p></p><p><b><i>Key Responsibilities:</i></b></p><ul><li><b>Advanced Data Analysis &amp; Integration</b> – Conduct in-depth analysis of structured and unstructured data from diverse sources (e.g., security logs, case management systems, operational data) to identify patterns, trends, and anomalies related to fraud, compliance breaches, and operational risks.</li><li><b>Data-Driven Storytelling</b> – Develop compelling narratives using data visualizations and insights to communicate complex findings to non-technical audiences. Present results in a clear, concise, and impactful manner to senior stakeholders, enabling informed decision-making.</li><li><b>Strategic Risk Mitigation</b> – Design and implement analytical frameworks that proactively identify emerging risks. Collaborate with investigative and operational teams to align analytics with Citi’s broader risk management objectives.</li><li><b>Visualization &amp; Reporting</b> – Create and automate dashboards, scorecards, and KPI metrics using tools such as Power BI, Tableau, and Cognos. Ensure reporting solutions are scalable, intuitive, and aligned with business needs.</li><li><b>Project Leadership &amp; Collaboration</b> – Lead end-to-end analytics projects, from scoping and data acquisition to delivery and stakeholder engagement. Coordinate with cross-functional teams including technology, compliance, fraud, and cyber units.</li><li><b>Stakeholder Engagement</b> – Regularly brief CSIS leadership and senior executives across business sectors. Ensure analytical outputs are actionable and aligned with strategic priorities.</li><li><b>Innovation &amp; Best Practices</b> – Stay abreast of industry trends in analytics, AI/ML, and data governance. Partner with internal and external SMEs to adopt best practices and emerging technologies.</li></ul><p><i><span>                                                                                                                                               </span>  </i></p><p><b><i>Experience </i></b> </p><ul><li>Preferably 10+ years of experience in business analytics, preferably in financial services, security, or risk domains.</li><li>Proven ability to analyze large, complex datasets and deliver insights that drive business decisions and risk mitigation.</li><li>Strong experience in data storytelling and executive-level communication.</li><li>Hands-on experience with BI tools (Power BI, Tableau, Cognos) and data querying (SQL, SAS, Oracle).</li><li>Demonstrated success in leading analytics projects and managing multiple priorities with minimal supervision.</li></ul><p></p><p><b><i>Educational and Technical Skills</i></b></p><ul><li>Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.</li><li>Proficiency in data visualization, statistical analysis, and automation tools (e.g., Python, VBA).</li><li>Experience with enterprise data warehouses, data governance, and data quality frameworks.</li><li>Familiarity with fraud detection, compliance analytics, or operational risk modeling is a strong plus</li></ul><p></p><p><b><i>Soft Skills</i></b></p><ul><li>Excellent communication and presentation skills.</li><li>Strong