• 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

• Act strategically alongside the commercial/sales team, with the challenge of consolidating, analyzing and interpreting the main sales KPIs. • Consolidate and monitor key commercial KPIs, including pipeline, forecast, sales cycle, conversion rate, average deal value and performance by account portfolio. • Build, maintain and evolve management dashboards in Power BI, ensuring clarity, reliability and up-to-date data. • Perform critical analyses of the sales pipeline, identifying risks, opportunities and short-, medium- and long-term trends. • Support the preparation of sales forecasts, ensuring greater predictability and alignment with monthly and quarterly targets. • Prepare analytical materials for monthly results meetings, executive reviews and sales management routines. • Collaborate with sales leaders to translate data into clear, actionable strategic insights, supporting growth decisions, account prioritization and new business initiatives. • Ensure the quality, consistency and governance of commercial information, working on the standardization of indicators and reports.

• Support analytical activities for AML/CFT and sanctions monitoring, including heuristic analyses, customer behavior insights, and evaluation of rule-based controls. • Assist in designing and running A/B tests and other experiments to measure the effectiveness of monitoring strategies. • Perform ad-hoc analyses, deep dives, and data investigations to answer business questions and support strategic initiatives. • Work closely with engineering, data, and compliance teams to refine AML rules, improve data availability, and support regulatory and internal reporting needs. • Create and maintain dashboards, reports and KPIs, ensuring information is reliable, up-to-date, and easy to understand for key business stakeholders. • Perform ongoing monitoring of AML/CFT metrics, investigate anomalies, and assist in identifying emerging patterns or areas of improvement. • (Nice to have) Contribute to ML-based analyses or model development, supporting senior team members working on advanced detection methodologies.