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Lead Analyst

JR United Kingdom

London

On-site

GBP 150,000 - 200,000

Full time

30+ days ago

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Job summary

Join a dynamic sports-focused organization that excels in delivering best-practice analytics and BI solutions. In this exciting role, you will conduct data audits, develop strategies, and ensure data quality while building and managing insightful dashboards using Power BI and Looker. Your analytical and problem-solving skills will be crucial as you engage with senior stakeholders, translating complex data into actionable insights. This is a fantastic opportunity for those passionate about data and its impact on business decisions, in a collaborative environment that values innovation and excellence.

Qualifications

  • Strong analytical and problem-solving skills are essential.
  • Experience in data manipulation and visualization tools required.

Responsibilities

  • Conduct data audits and develop strategies to ensure data quality.
  • Build and manage Power BI / Looker dashboards for insights.

Skills

Analytical Skills
Problem-Solving
Data Manipulation
Communication Skills
Stakeholder Management

Tools

SQL
Power BI
Looker
Tableau
Google Analytics
GCP
Azure

Job description

Exciting opportunity to join a sports-focused organisation, delivering best-practice analytics and BI solutions for their clients.

THE ROLE AND RESPONSIBILITIES:

  • Conduct data audits, develop strategies, and ensure data quality.
  • Build, deploy, and manage Power BI / Looker dashboards.
  • Work with SQL, Python, and cloud platforms (GCP, Azure).
  • Create a single customer view and deliver insight-driven reports.
  • Engage with senior stakeholders, translating data into actionable insights.

YOUR SKILLS AND EXPERIENCE:

  • Strong analytical and problem-solving abilities.
  • Experience with data manipulation, using SQL.
  • Proficiency in data visualisation, via tools such as Tableau, Power BI etc.
  • Ability to interpret business and marketing insights.
  • Confident communication and stakeholder management.
  • Experience working with Google Analytics data.
  • Experience in advanced customer analytics, segmentations, lifetime value models, clustering.
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