• Shape targeted use of data: act as a link between business areas (e.g. Risk, Controlling, Corporate Management) and related technological solutions: data analysis and advisory (BI/Analytics) in the Data Warehouse, ideally with a technical focus in the financial services sector (e.g. banks, insurance, FinTech). • Design and align technical solution approaches in close collaboration with business stakeholders (requesters) and IT developers (implementers) – you are the interface between technology and business. • Execute SQL data analyses and testing independently; ideally have some exposure to other programming languages such as Python or R (or other data science tools) in both on-premise and cloud environments. • Develop technical solution concepts. • Be open to learning new methods and technological approaches. • Creating data models, database structures and/or data quality metrics in the context of data warehousing may be required. • We learn from the best: you will pass on your knowledge to our junior consultants through training and mentoring.

• Design and execute customer-facing case studies that demonstrate the relationship between developer training and improvements in application security workflows • Partner with cross-functional stakeholders—including AppSec, DevOps, Security Architecture, Training & Enablement, and Engineering leadership—to define meaningful KPIs and success criteria • Translate quantitative findings and qualitative insights into compelling, executive-ready value narratives that resonate with technical and non-technical audiences • Analyze SCW training, comprehension, and engagement data • Build advanced data visualizations and dashboards that clearly communicate impact and insights • Provide data-driven recommendations to optimize SCW training strategies based on observed upstream and downstream impacts • Establish governance models and best practices to ensure consistency, accuracy, and credibility in value measurement • Contribute to internal enablement, external content, and strategic conversations that elevate SCW’s position as a leader in developer-driven security

• Work with a team to deliver customer operations insights • Perform research and investigation of business systems and problems • Interpret and analyze clinical data from various sources • Assist team members in identifying potential areas of opportunity • Provide analytics, statistical findings, and conclusions to guide improvement strategies • Design, produce, and support development of clinical dashboards, KPI informatics, and reports • Identify industry trends and integrate trend analysis data into forecasting and reporting processes • Develop a full understanding of clinical programs intersecting with the Performance Partnership program

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking an experienced Credit Risk Data Analyst to support enterprise analytics initiatives across consumer financial products. This role focuses on analyzing non-IT business problems, translating them into actionable requirements, and delivering data-driven insights for senior Credit Risk leadership. - Analyze non-IT business problems and articulate requirements to support process improvement initiatives. - Assess current processes and develop documentation for current state and future state workflows. - Develop analytical frameworks to evaluate financial impact and ROI for proposed investments. - Use SAS and SQL to analyze large datasets related to credit risk performance across consumer products. - Generate insights and reporting to support senior Credit Risk leadership. - Identify and evaluate alternative solutions, presenting recommendations based on data analysis. - Build shared understanding between process owners, business stakeholders, and solution developers. - Assess process performance and operational effectiveness using analytical methods. - Prepare clear documentation and presentations summarizing analytical findings and business recommendations. Qualifications - SAS & SQL (6–10 years) - Advanced data querying, analysis, and reporting - Experience working with large financial or consumer lending datasets - Data Analytics Experience (5–10 years) - Strong analytical and problem-solving skills - Ability to derive insights and communicate findings to business stakeholders - Credit Risk Analytics - Experience working with Credit Card and Consumer Loan portfolios - Understanding of credit risk metrics, portfolio performance, and lending data Requirements - Experience supporting enterprise-level analytics initiatives - Ability to create ROI models and financial justification frameworks - Experience developing insights for senior leadership within credit risk organizations - Strong written and verbal communication skills Company Description