Roles and Responsibilities

LEAD DATA ANALYST:

In this role, youll lead a team which uses data, reporting and analytical skills to help answer business questions to make DAZN a data-driven company.

You and your team will be responsible for building datasets, using data visualisation tools (such as Tableau and Looker) and responding to data analysis requests from different business stakeholders. You will work with the BI Lead, based in London, to develop and test analytical output and reports to ensure they are usable and accurate before they are published.

Reporting

Key corporate reports (including business trading, functional KPIs and platform performance) will be your responsibility, which includes:

• ensuring they deliver new and actionable insights
• updating with changes defined by business stakeholders
• migrating dashboards from existing tools to new ones
• data visualisation tooling administration (user access controls, monthly reports on usage, identifying redundant dashboards etc.)
• ensuring data governance of reports

Dataset Creation

Your team will be responsible for ensuring that datasets are created which can answer business questions and enable other technical users to query to get answers quickly. You will need to update and maintain the datasets as business definitions or data changes (e.g., new prices, new sports competitions).

Data Analysis

Ensuring key business questions from functions across DAZN (marketing, finance, product, operations, customer services) are answered via data and analysis in an organised and timely way will be your responsibility.

You will need to prioritise requests based on business value, importance, and urgency. Your team will collate, wrangle and query data from various data sources (e.g., Snowflake) to provide insight into what has happened and why. As your team develops their skills, you will apply statistical skills (measures of average, variance, distributions, trends analysis, outlier detection) to analyse data.

DO YOU HAVE THESE ESSENTIALS?

• 5 – 7 years of experience in working within data and analytics and experience leading a technical data team (analysts, engineers or scientists).
• Strong experience collaborating with non-data stakeholders to understand their requirements and translate those into data products.
• Ability to explain/present technical information to non-technical stakeholders logically and understandably.
• You need a solution-based and proactive mindset, with the ability to translate business problems into technical problems that can be solved using data and analytics.
• Strong management skills and a wide understanding of the coverage of data functions.
• High focus on delivery, both in terms of speed and quality.
• Working knowledge of the analytics pipeline (how data is collected and stored in databases, gathering business requirements, data wrangling, data preparation, quality assurance of analysis and methods of delivery and visualisation)
• Very strong experience in data transformation, wrangling and statistical analysis using SQL and/or Python.
• Experience in using data visualisation tools such as Tableau and Looker.
• Desire to test and change the status quo and innovate.

NOT ESSENTIAL BUT GREAT IF YOU ALSO HAVE

• A strong interest in sports, both as a fan and as an industry.
• An interest in technology.
• Enjoy working in an agile and fast-paced environment.
• Experience in conducting A/B testing.
• Experience in advanced analytics and data science.Desired Candidate Profile

Perks and Benefits