Business Intelligence Analyst

  • Location: London
  • Salary: 40,000 - 45,000 + Benefits + Bonus
  • Type: Permanent
  • Job reference: 24220

Business Intelligence Analyst

This is an outstanding opportunity for an experienced data professional to work with the world’s biggest sports, shaping data strategy and analytics alongside a team of leading data specialists.

The role is based in the vibrant heart of London and for a leading sports media company that is growing from strength to strength and is taking the world of data and sports to new heights.

Candidate

The successful candidate will proactively drive the business data strategy forward through advanced data analytics and have a huge passion for all sports, predominantly Football.

You will need to have vast experience analysing complex database systems, developing/querying data in numerous languages, Extensive knowledge of marketing, advertising and technical tools available and previous experience turning big data into actionable information and then understanding this to make business critical decisions.

The position comes with a high level of responsibility and would suit a candidate who enjoys making a difference working with data to provide the best in class commercial, marketing and customer experience.

Key Responsibilities

  • Provide actionable insight in a fast-moving sports media company.
  • Analyse huge, disparate datasets using relevant technologies to:
    • Gain a commercial understanding of all aspects of customer data (loyalty, behaviour, acquisition and retention)
    • Provide customer centric insights, understand customer journeys alongside a single customer view and providing strategic & real time recommendations
    • Designing and building reports and dashboards
    • Advanced / Predictive analytics
    • Machine Learning / AI

Technologies

The successful candidate will be able to work with whatever tools they believe suits the task, so they will be able to demonstrate knowledge of the following areas:

  • Analysing big data sources such as Google Analytics 360, Google Ad Manager, other internal & external unstructured and semi structured sources
  • Marketing and Ad tech platforms such as DMPs, CDPs, CRM platforms
  • BI tools such as Power BI, Python, SPSS, Qlikview, Tableau
  • Excel, Google Sheets
  • SQL, R, Python
  • Cloud technologies such as GCP, AWS, Azure
  • Cloud data systems, eg. Google BigQuery, Amazon redshift
  • APIs and XML feeds

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