Data and analytics leader with experience growing with a B2B software company from 100 to 700+ employees
Tim currently consults early-stage companies looking to build and grow their analytics capabilities. He previously led Strategy and Analytics at Lucid Software, the visual collaboration suite responsible for Lucidchart and Lucidspark, where he was the first data hire and grew the function to a team of 20+. He has also held roles on the growth team at Qualtrics and in management consulting at Bain & Company.
Building a Data Analytics Function
Tim currently consults early-stage companies looking to build and grow their analytics capabilities. He previously led Strategy and Analytics at Lucid Software, the visual collaboration suite responsible for Lucidchart and Lucidspark, where he was the first data hire and grew the function to a team of 20+. In this guide, he outlines the key responsibilities of data and analytics teams, the different pieces of technology they need to do their work, and how to structure a growing data function.

Areas of Expertise

1.
Data Analytics Tech Stack Tim has spent years mapping, understanding, and using tech tools for data analytics. He can advise on which tools to choose when it comes to data warehousing, ETL, reporting and more, and how to link your tech stack together.
2.
Data Org Design As a data team grows, you need to decide whether to structure it as a centralized team that services all business units, decentralized analysts who sit with different functional teams, or a hybrid model. Tim can help data leaders think through this key decision, which dictates many other systems and processes.
3.
Event Tracking and Product Analytics Tagging and tracking usage events leads to a rich, high volume source of data, but because of the complexity, it takes a lot of thoughtfulness to get right. Tim has spent time exploring vendors and building in-house platforms, and can advise on how to evaluate, design, and build event tracking and product analytics.

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