The Operational Analytics Club is a incubator community for seasoned data professionals fostered with love by Census, the leading Data Activation Platform. 

To build a better future with data, we need to lean on the strengths, expertise, and experience of our community. Whether you’re a technical data expert looking for help building your strategy skills, a first data hire seeking camaraderie with people who understand the challenges you’re facing, or just a data nerd looking for more friends, the OA Club is built for you.

Follow along on this channel for educational material, interviews, and AMAs with the data experts you know and love. 

The Operational Analytics Club

Data professionals usually don’t have a clear path to career advancement.

In fact, according to data from our 2023 Data Community Survey, only 30% say they have a clear growth path in place. And when they are denied a promotion? The top reason for a rejected promotion is that there's no process in place for data professionals -- leaving them to believe it's a lack of personal advocacy holding them back.

Join us at **10 am PT on August 17** as Census Sr. Data Community Advocate Jeff Sloan sits down with three data experts (Brian Sirovetz, data engineering manager @ Electric; Ella Runciman, data engineer @ 1Password; Jessica Larson, sr. software engineer, data platforms @ Pinterest) to discuss the takeaways of the Community Survey and answer questions around:

> **1. How data practitioners can find career support if their org is lacking**

> **2. How organizations can better support data career growth**

> **3. What blocks data practitioners from getting promoted**

> **4. What skills and outcomes get the most recognition from managers and stakeholders alike**

> **5. How mentorship and coaching impact career development and earnings**

Register to uncover the insights you need to help grow your career 👉


Panel: How do data people get promoted?

A typical data warehouse is filled with all the data your business generates from various SaaS tools (1st party data). Technology has made it easier to consume external data sources (third party data), and the process of integrating additional information into existing datasets is called *data enrichment.*

Enriching your data with third party data is very valuable in building a single source of truth in the data warehouse. [Ella Runciman](https://www.linkedin.com/in/ella-r-78421011a/) will be sharing her experience with data enrichment in this live workshop, where she’ll go over:

*   An overview of data enrichment
*   The types of data enrichment
*   How data enrichment has changed over the years (and its business value)
*   Hands-on examples of how to implement data enrichment in your organization

This is a live event, and all attendees are encouraged to ask questions. Ella will be available to answer your questions throughout the workshop.

**Register by filling out the form 👉**


Data enrichment: How to implement and utilize 3rd party data in your data warehouse

Stakeholder Engagement Best Practices: Insights from the Front Lines

Discover an optimal process for identifying errors and building more fail-proof dbt tests.


Data modeling patterns every analyst should know

Speaker

Ergest Xheblati

Data Architecture Consultant

Replays

Panel: How do data people get promoted?

Data enrichment: How to implement and utilize 3rd party data in your data warehouse

Stakeholder Engagement Best Practices: Insights from the Front Lines