Meet Association Analytics’s team of data analytics experts who are helping associations leverage their data to make decisions with confidence. Join our team.
Matt has nearly 20 years of information technology experience in key leadership, development, and implementation roles involving business intelligence, data visualization, web analytics, data warehouse design, application integration, technology strategy, association management software, financial management, and data governance.
Kelly has 23 years of analytical consulting experience specializing in strategy and marketing using predictive analytics and data mining. She has in-depth experience leading analytics initiatives with large associations, such as AARP, the American Dental Association and NFIB and brings great wisdom and insight to the projects she leads with our clients.
Bill is responsible for our Analytics Strategy and Roadmap (ASR), service which educates stakeholders, establishes outcomes, and aligns data analytics objectives with organizational strategic plans. As client facing lead for strategy engagements, Bill runs executive discovery and presentation sessions, assesses and documents the current state of an association's data environment, including: data quality, technology, processes and culture.
With more than a decade of experience in the association world, Tamsen always has the end user in mind during in product development. And with training in Agile games, she is able to get client information in a fun way – and quickly turn around better data.
Jasmin has more than a decade of experience working with associations. She is an expert in SQL, Tableau, project management, business analysis, data cleanup, data conversion, data mining and discovery and reporting.
With more than 15 years of professional experience, Jason has worked in roles including consultant, programmer, software architect and database developer.
Walt is an authority on database design, analytics and reporting. Walt’s experience includes working with clients to determine the strategic direction for their business intelligence initiatives, identifying the primary areas for analysis, master data management (MDM), data quality management (DQM), designing and implementing data marts and cubes, integrating and cleansing data, building ETL scripts, and creating data visualizations.