*Impacted by RIF- Problem solve, analyze data, and present findings to customers in a way that helps sales to optimize revenue potential via customized sales presentations- Actively build static and dynamic content in our content management system using strong data querying skills (SQL) - Create ad hoc SQL queries to answer data questions that arise and perform proactive analytics to bring interesting narratives to stakeholder attention versus just reactive reporting - Support account managers and adjacent stakeholders by providing actionable insights and recommendations on campaign product investments- Be the subject matter expert on the Healthcare & Logistics Enterprise Business while leading industry and product workstreams- Work with account managers to distill customer pain-points, strategize on client narratives, navigate resources- Contribute to shaping department-wide initiatives powering broad business objectives- Lead internal team growth initiatives through mentoring, coaching, and training- Cultivate relationships with internal and external collaborators, identifying their needs to ensure our solutions and product-recommendations are data-driven. - Act as a facilitator and people-facing analytics expert to drive cross-collaboration with economists, brand strategists, Customer Success, etc. to ensure revenue growth and client success- Creating compelling stories and narratives with strong data querying, utilization and visualization plus branding

- Manage and deliver high-visibility decks and content for decision-makers, leadership and the wider Commerce organization to drive business objectives and meet/surpass targets - Apply expertise in quantitative analysis, data mining, and data visualization to see beyond the numbers and pull insights to help identify trends opportunities to drive growth of monetization business- Conduct in-depth investigations leveraging large and complex data sets- Inform, influence, and execute new strategies and tactics using ad-hoc analysis and defining/monitoring of metrics to support stakeholders and business partners- Be a thought leader for data-informed initiatives and contribute to the commerce team’s goaling overall performance.- Prepare detailed analysis, decks, plans, milestones, deliverables and overall status updates.- Develop strong stakeholder relationships, maintaining effective communication channels- Make informed recommendations based on experience and understanding of information flow strategies and best practices when working with data- Develop a deep, quantitative and qualitative understanding of the Commerce ecosystem (buyers, sellers, channel partners)

- Through effective performance monitoring, escalating issues and trends that contribute to the degradation of service using established governance processes- Monitoring and analyzing service level agreement (SLA) impacts on performance resulting from the implementation of agreed action plans.- Contributing to the implementation of SLA changes resulting from business needs, service changes, projects and continuous improvement programs.- Perform quantitative and qualitative analysis on available data, metrics, and trends. Enhance existing reports and analysis to identify meaningful insights/opportunities to improve performance.- Promote use of new metrics and data visualization tools/techniques to make recommendations of operational adjustments/changes that may be needed to improve results.

-Shadowed geneticists, genetic counselor and adjacent genetic professionals for knowledge gain and experience in determining potential career path in genetic counseling, data in genetics, etc.

- Assistance in multiple stages of ML project execution (primarily related to automated invoice processing): from data pre-processing through error analysis and improvement of OCR and ML predictive accuracy for training dataset to over 80 percent (roughly 10,000 invoices) - Collaboration and communication with data scientists and core stakeholders - Evaluated OCR performance in terms of number of correctly recognized words and fields on invoices and classified types of ML errors for extraction/interpretation improvement from multiple invoice format types- Clearly presented core insights and findings from data/error and cost-benefit analysis to respective management and parties related to project/product approval-Assisted in editing and writing content for internal researchers such as research articles, delivering presentations, attending and assisting in ML conferences and becoming acquainted with all cutting edge ML related topics. -Assisted in business development deliverables