Makenna Stever Email & Phone Number

San Francisco, Ca, Us

Emeryville, California, United States

-Collaborating directly with key stakeholders, develop data models and processes (SQL, Pandas, PySpark), create tailored analytic deliverables (Excel, PowerPoint), and provide data management guidance. Maintain strong client relationships by acting as point of contact during discussions.-Spearhead the creation of a patient-level CRM to store data-driven alerts, user notes, and demographics/PHI in order to facilitate a Patient Services team in assigning tasks internally. Implement a process to sync user-generated data within the CRM to Power BI reports. Configure user-interface with Beghou’s proprietary development software.-Create a national goal-oriented incentive compensation plan for multiple products, incorporating client feedback from previous quarters. Using Monte Carlo simulations, model probable sales performance and payout breakdowns.-Design and engineer multiple Master Data Management systems to maintain raw account data from sales and medical sources for clients’ CRM tools.

Emeryville, California, United States

-Provide data analysis assistance to enhance internal business systems.-In coordination with internal staff, proactively identify department challenges, tasks, and opportunities for increased efficiency-Attend meetings to provide and receive feedback and stay up-to-date with departmental needs; proactively communicate and collaborate with project managers from different departments-Assist in the implementation of new software (such as DocuSign) to manage county-wide administration-Utilizing PowerShell (C#, SQL, Java), create a process for automatically eliminating redundancies in document backups to refine department archives.-Utilizing SharePoint Online, design a system for migrating documents tagged with metadata to specific IT Department sites.-Utilizing Power BI, create visualizations to illustrate departmental workload. This analysis included compiling IT Department staff metrics and project data (with data points including estimated effort, number of employees required per project, project deadlines)