Data & Analytics
Who We Are
The Data & Analytics team is a centralized function that partners with teams within the organization to provide data, analysis, and enterprise reporting to help answer questions and make decisions. We are experienced data analysts and data engineers who own and manage the data platform and BI tools. We ensure that the systems you use and the data, analysis, and reporting we provide is high quality, timely, and useful to our partners.
The Team
- Lauren Anderson, Director of Data & Analytics
- Eric Brody-Moore, Business Operations Manager
- Kelsey Brown, Senior Business Operations Analyst
- Nathan Downs, Lead Data Engineer
- Aditya Kalia, Data Engineer
Our Mission
Partner with the organization to build scalable data solutions and insights to help the company grow.
Our Pillars
Our Capabilities
| Data Analytics | Data Engineering |
|---|---|
| Analyses/Projects | Engineering/Architecture |
| Reports/Dashboards | Data Transformations |
| Stakeholder Management | Maintenance |
| Support/Enablement | Tool Administration |
| Metric Definitions/Documentation | Monitoring/Alerts |
| Testing/Experimentation | |
| Event-level data |
Communications/Asking a Question
The Data and Analytics team will strive to be Handbook first. Have a question? Look for the answer in our Handbook paged. Don’t see what you are looking for? Ask a question in one of our Slack channels.
- #data-analytics-internal for internal Data & Analytics communication
- #analytics for anything related to analytics; not just the Data & Analytics team (e.g the impact on a shift from HubSpot to Marketo, sharing a deliverable that has cross-functional impact, or a question related to data you don’t know where to ask).
- #analytics-review for help with self-service and WIP data projects (questions about the data, requests for peer review). Although we do expect to be involved in this quite a bit, it’s not just meant to get feedback from Data & Analytics. We will also be using this channel to have our work peer reviewed and collaborate with other folks from different parts of the business! Anybody comfortable enough with data can be a peer reviewer or answer questions
- #data-eng for Data Engineering communication
There is an analyst on support each week that will be answering questions and triaging requests that come through these channels.
How to know what we are working on:
Data and Analytics Project Board (Here)