> Does your team and department taking of analytics primarily on the footballing side? Like player performance?
Yes, we work primarily on the footballing side and across the spectrum in that space: Player/team performance for the men's first team, women's first team, and boys academy age groups U16 and up, player recruitment / squad planning, etc.
> How does your teams work typically get incorporated
We produce a mix of interactive tools, regular static reports (e.g. opposition analysis, post-match analysis, etc.), and live dashboards that come from specific stakeholder requests such as coaching staff or execs, or that we build proactively to address a specific football-related question.
> what does the day to day look like?
It really varies from day to day and role to role within the team. A data engineer might be adding another data provider to an entity resolution ETL pipeline, a research scientist might be incorporating feedback from first team coaching staff into a work-in-progress model, a data analyst might be putting together an in-depth opposition analysis report for an upcoming match, and an operations analyst might be helping train operators on a new data labeling task.
> Do you manage your own tech stack as well?
We do manage most of our tech stack, although we get a lot of support on front-end from a great sister team in the IT dept.
> Does your team and department taking of analytics primarily on the footballing side? Like player performance?
Yes, we work primarily on the footballing side and across the spectrum in that space: Player/team performance for the men's first team, women's first team, and boys academy age groups U16 and up, player recruitment / squad planning, etc.
> How does your teams work typically get incorporated
We produce a mix of interactive tools, regular static reports (e.g. opposition analysis, post-match analysis, etc.), and live dashboards that come from specific stakeholder requests such as coaching staff or execs, or that we build proactively to address a specific football-related question.
> what does the day to day look like?
It really varies from day to day and role to role within the team. A data engineer might be adding another data provider to an entity resolution ETL pipeline, a research scientist might be incorporating feedback from first team coaching staff into a work-in-progress model, a data analyst might be putting together an in-depth opposition analysis report for an upcoming match, and an operations analyst might be helping train operators on a new data labeling task.
> Do you manage your own tech stack as well?
We do manage most of our tech stack, although we get a lot of support on front-end from a great sister team in the IT dept.