For the second client project for cohort DSAU22, I had the privilege of taking on the role of project lead for my team for a major streaming service company. Leading a team of data analysts was a vastly different experience to simply being a member of the team because a leader focuses on the the steps a team needs to take in order to deliver the final product to the client that meets client expectations and in a timely manner. In this blog post, I will be sharing three things I implemented in order to lead my team effectively.


1. Preparing organisational tools and materials beforehand

To start off the project, I prepared a scrum board to keep track of what team members are working on what task. This is separated into six stages which are backlog, in analysis, in development, in quality analysis, ready for sign-off and done. I also prepared blank Tableau dashboard templates with brand assets and images already uploaded into them. This allowed me as a project leader to relieve my team of some of the creative work required to ensure all dashboards looked consistent. Lastly, I prepared a custom colour palette for Tableau for my team to work in to further enhance a consistent dashboard design across all team members.


2. Managing communication with clients

A big part of being a project leader is to manage expectations with the client and communicate the team’s progress, compile questions and address any issues that have arisen to the client via various communication channels. Moreover, depending on the complexity of the communication, I had to determine which communication channel would be best suited for the message. For example, a simple question could be sent via email whereas a long list of questions that may require back and forth discussion would be better suited to an online meeting. In addition to this, I also had to take into consideration the client’s time and availability.


3. Becoming a support pillar for the team

To support a team, a project leader may end up doing whatever tasks are needed to remove roadblocks or gathering any resources to assist the team’s progress. However in order to achieve this, a leader must stay in touch with the team and have a clear understanding of what tasks each member is working in, what they have worked on and what is on the backlog. This helped me understand what client requirements have been met and also look ahead to assign any tasks on the backlog to team members who finished tasks early. By checking in with the team, I also gained an understanding of what members were struggling with what task and I could prepare any resources to help them progress more smoothly.


To conclude, my first experience in leading a team of data analysts was both a challenging but valuable opportunity that I gained much out of. I implemented three key strategies: preparing organizational tools, managing client communication effectively, and providing unwavering support to the team. These tactics enabled us to deliver a successful project that met client expectations.

The Data School
Author: The Data School