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Managing Analytics – Teem Insights with Charles-Antoine Dreyfus

Teem Insights is a way for key stakeholders at Teemo to share their feedback and insights with the rest of the world. 

What It Means to Be an Analytics Manager

Richard

On this edition of Teem Insights, I’m here with Charles Antoine, otherwise known as CAD. CAD is an analytics manager at Teemo. Can you tell me a little bit about your career and academic experience before you got to Teemo and how long have you been with the company?

 

Charles-Antoine

Hi Richard. So I joined Teemo about two years ago. I head up the analytics team at Teemo. My background is in engineering and I received a masters in science and engineering. Prior to joining Teemo, I worked as a strategic manager at a consulting firm, specialized in the asset management business.

 

Richard

Very interesting. So what does it mean to be an analytics manager? What is your day to day like and what are your big picture goals?

 

Charles-Antoine

Thanks for asking. As the analytics managers I lead a team of four data analysts, across two geographies, France and the US. Basically I feed the sales team with meaningful and actionable insights. We also develop company dashboards so they can easily access common information.

My work as an analytics manager is much broader than just that though. I also work with the product department to define the road map for extending our analytics capabilities. I work with clients to make sure they have everything they need in terms of support. And, I make sure that the company and product is ready to face the upcoming changes in the industry.

 

Richard

Very interesting. So it sounds like you’re working both with front end and back end teams.

 

Charles-Antoine

Exactly. Yeah, you’re right.

 

Richard

I’m sure you face a lot of difficulties. Especially considering that we’re a startup. We move really quickly. What are some of the most difficult or challenging moments of your job?

 

Finding a Needle in the Haystack

And the thing is you, you need to dig deep to get a good overview of what’s going on. Your clients are not interested in knowing everything about everything. The they need to have the key takeaways. The idea is to, to tell the right stories with a good level of of data.

Charles-Antoine

As a data analyst, you have to handle a lot of data on a daily basis. And basically you want to try to understand everything because you have a very large volume of of data available. And the thing is you, you need to dig deep to get a good overview of what’s going on. Your clients are not interested in knowing everything about everything. The they need to have the key takeaways. The idea is to, to tell the right stories with a good level of of data.

 

Richard

Okay. That makes a lot of sense. So I can imagine that you’re using a lot of software and programs to help your job efficient. As well you’re using human-level processes and exchanging a lot of ideas, Could you tell me about the types of software you’re using and a little bit about the human level processes you’re executing to make sure you tell the right data story?

 

Charles-Antoine

Yeah, so there are a few software applications that we use for data analysis. The first one is a platform called Mode Analytics. It’s a very user-friendly platform. And it allows everyone within the company to export a very good level of data. The sales and marketing teams mainly use it, but my team, in the backend, develops it. So that’s the first the first software that we use.

And the second would be BigQuery, which is a Google service. It runs on Google Cloud Platform and is a more technical tool. BigQuery allows us to get a much more in-depth understanding of data. You need to have a very good technical background to use BigQuery. So we restrict access to the analytics team and the R&D team. The sales team does not have access to this kind of platform. That’s why we have a lot of meetings with the sales team: to understand their needs and prioritize what will help them be more efficient.

 

Data Makes the Difference

Richard

Thank you for sharing. So you are looking at our platform from the inside out. What do you think it is about our platform and our team that makes us different from any other company out there?

 

Charles-Antoine

I would say it’s two things. The first things is that we have access to very good quality data. So we have very granular data allowing us to target the right devices and make sure that we are able to meet our client expectations at the targeting level.

And the second thing is that we are able to optimize campaign performance. What does that mean? I mean during the course of a campaign we are running, we can make changes everyday to make sure we outperform the competition. We don’t just set it and forget. We are constantly working on campaigns to make sure we have the best results. At the end of the day, we are able to increase the number of visits or incremental visits, which positively influences the bottom line for our clients. And that is great for our long term partnerships with clients.

 

Richard

I think that’s really a key differentiator, and it positions us really positively in the market. So one final question. If you were to tell the rest of the team and the rest of the world, one thing about what you do, what would you tell them?

 

Charles-Antoine

Within the company, I would say: if you have any questions or concerns, please come to my team and we’ll try to give you a fair answer. We have a lot of data to work with, so we can likely offer you a meaningful and conclusive answer.

 

Richard

Thank you for that. I’ll probably take you up on it.

Charles Antoine Analytics

Charles-Antoine is an Analytics Manager with years of experience and an engineering background. He goes by CAD. Connect with CAD on LinkedIn.