Seeking candidates to add to and help grow the Emissary advisor community. Onboarding potential advisors on the phone to familiarize them with our platform and engagements, as well as help them with any questions they might have. --Our Emissaries are global leaders from Fortune 500 companies – from former directors to the C-suite – who have extensive experience in building teams, businesses, and major initiatives and are looking forward to their next step. They may be building a company of their own, supplementing retirement or their current full-time gig, exploring a career shift, or they may be seeking ways to give back.Emissary provides sellers and marketers access to the inside scoop on their most important accounts so that they can open new opportunities, expand existing partnerships, shorten sales cycles, and close deals.

- Database development for various small to medium sized businesses-Create and implement algorithmic solutions to industry-specific business problems- Project management and delivery involving aggregating data across different platforms (SAP, Excel, Email, CRMs)- Provide business recommendations based on customer feedback analyses- Recommend and apply best data science techniques, methodologies and models based on business goals and industry best practices and trends- Standard data mining and extraction of usable data- Preprocessing and structuring of unstructured data- Communicate key insights, recommendation and/or results to internal business and IT teams as required- Create analyses decks and presentations as needed

- Supported management of regional affiliate program with ticket sales on live events- Analyze partner performance trends across different categories and markets- Operational support, including partnership requests and management of Ticketmaster Affiliate Program- Executed partner-side product marketing in an effort to expand on current partner engagements and build any new opportunities- Collaborated with technical teams for in-house event management platform solutions and customer applications (web and mobile) based on customer service-related insights- Presented and created data visualizations that were regularly communicated to marketing, customer and technical team leads

- Manage projects that provide actionable insights across the full organization. - Untangle and rebuild easy-to-understand and clean data structures - Acted as decision maker on self-service reporting tools used for data collection and customer facing tag management - Big Data management, including assets, methodologies, algorithm design, testing and rollout- Team lead on key projects involving members of the product managers, designers, marketing analysts, and our senior leadership team

- Identified common business problems and worked with a small team to provide actionable insights to be applied to customer-facing applications- Utilized different data sources to compile information that helped better prioritize platform needs- Created data visualizations reviewed at company-wide meetings and events- Work with different data teams across multiple projects lead by internal IT and Engineering groups- Collaborated closely with data engineer and scientists to develop algorithms for key business problems

- Worked with commercial and technology teams across various markets to identify areas of improvement that have immediate and measurable impacts across different functional units- Initiated and worked on analytics projects with results impacting internal team processes - Provided recommendations to team lead with the goal of delivering insights on potential improvements in tooling to processes- Compiled weekly and monthly reports used as part of joint internal stakeholder meetings- Lead analytical projects that help local teams understand actionable insights and achieve business targets

- Worked on multiple projects involving engineer, design and IT teams from prototypes, testing to launch- Helped maintain company website, including monitoring and tracking users- Compiled and delivered weekly reporting to team leads- Led the user database cleanup and helped determine best practices with data collection