Quant Analytics [MR-QA-SWJ-103040]

About the position Responsibilities • Structure problems and develop analytical frameworks while addressing business and technical risks. • Use analytical tools such as trend analysis, segmentation, optimization, and other techniques to improve business function performance. • Contribute to business cases, construct test designs, and identify populations for pilot programs. • Analyze program performance and derive insights to help inform future customer strategies. • Aid demand mitigation programs by providing data and analytics support across the servicing organization. • Analyze customer interactions and events across various channels to better understand customer journeys and friction points. • Communicate effectively with senior leaders to enable collaboration, decision-making, and transparency. • Analyze problems, design solutions, and communicate effectively with relevant stakeholders to influence and gain buy-in across various job functions. • Support and drive partnerships with key ops stakeholders and ops product groups by utilizing knowledge of business drivers, underlying data, and processes. • Drive development and reporting of ops performance metrics and KPIs. Requirements • Master's degree in Business Analytics, Statistics, Engineering, or related quantitative field of study plus 3 years of experience in the job offered or as Quant Analytics, Senior Data Analyst - Predictive Analytics and Insights, Decision Scientist, or related occupation. • Alternatively, a Bachelor's degree in Business Analytics, Statistics, Engineering, or related quantitative field of study plus 5 years of experience in the job offered or as Quant Analytics, Senior Data Analyst - Predictive Analytics and Insights, Decision Scientist, or related occupation. • Experience in creating dashboards and visualizations to measure the impact of implemented products. • Experience in providing management with self-service tools to explore and report on current trends of key metrics. • Experience in delivering analytics solutions following Agile, Scrum, or Kanban methodology. • Experience in collaborating with area product owners to formulate quantifiable goals for measurement. • Experience in advising on strategies and experimentation needed to achieve business goals. • Experience in performing analysis to improve business function performance by leveraging standard data analytics tools and technologies including SQL, R, Python, Tableau, Alteryx. • Experience in using functions in Microsoft Excel: Conditional Formatting, Charting, Pivot Tables, and Pivot Reporting. • Experience in performing data mining leveraging statistical modeling, machine learning, and other advanced analytics methods including Data Mining, Segmentation, Time series, Correlation, Cluster analysis, and Regression. • Experience in writing and executing data extraction, summarizing code, and automating processes to source, transform, and analyze data from multiple sources. • Experience in preparing and delivering presentations summarizing insights and conclusions for senior level stakeholders. Apply tot his job