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.
