Support & lead partnerships with key Ops stakeholders and Ops Product groups focusing on MLIO Knowledge Management with strong understanding of business drivers, underlying data and processes.
Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, leadership teams and business partners in regularly scheduled analytics meetings.
Transform data, reporting, analysis into insight that improves the existing operational processes & applications that impact thousands of front-line specialist.
Build a suite of reports that allows Leadership and front-line employees to quickly see relevant pipeline, productivity, and scorecard metrics associated with Knowledge Management usage and tracking.
Develop roadmap of advanced analytics initiatives to support achievement within multiple lead channels (focused on agent facing applications & their knowledge management repositories).
Create behavioral analytics to understand the specialist and personalize their experience.
Identifying, testing and deploying new data types that can give insights and enhance existing prediction capabilities to provide analytically recommendations that align to core objective.
Proactively investigate issues and problems in both model building and production phases and document KPI, PoC, workflow, and data sources in clear and concise way.
Strong coding and heavy lifting in writing and maintaining Alteryx, SQL, Tableau and Python code.
Manage a direct team of 2-3 analysts and oversee additional 2-3 analysts who are supporting other functions.
Requirements & Skills:
Bachelor’s/Master’s degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
15+ years of experience in applying statistical methods to real-world problems using SQL and at least one of the following analytical tools: Alteryx, Python, and Tableau
Experience with visualization techniques for data analysis and presentation
Strong Mathematical/statistical skills by using Alteryx/Python/SQL/Tableau
Have a demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives
Knowledge of advanced statistical techniques and concepts or methodologies: Linear/logistic regression, statistical models, clustering, decision tree, and experience in statistical and data mining techniques: GLM, Random Forest, Boosting, text mining, NLP, etc..
Leadership: Mentor and coach a small group of 6 FTEs & drive and help in identifying and onboarding talents across the industry, mentor newer team members and identify growth opportunities for existing team members
Experience using cloud services: Azure or AWS etc.
Experience in Financial Services or like industry desired
Candidate should be able to crisply synthesize data into actionable insights for executive leadership.
Have a strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies
Previously worked in an insights function at a financial services firm or consulting firm supporting Financial firms.
