Senior Data Analyst: Forecasting, Dashboards & Insights

Legend Corp; Greater London; Híbrido; GBP 50 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Annual discretionary bonus

Paid annual leave

Resumo da oferta

Legend is seeking a Senior Data Analyst to join our Sports business. You will collaborate with Product, Commercial, Marketing and SEO to drive data-driven decisions that improve performance.

The role is hands-on with visibility and autonomy, building models, dashboards, and analyses that influence strategy across the business. You’ll own complex analytical challenges from problem definition to recommendation, mentor teammates, and partner with Data Engineering to strengthen data pipelines.

Qualificações

• Expert-level SQL and strong Python (or R) and Tableau skills.
• Proven experience delivering end-to-end analytical projects from scoping to implementation.
• Strong stakeholder management; translate business challenges into analytical solutions.
• Commercial mindset using data to influence strategy and decisions.
• Experience mentoring others and driving high standards in analytics.
• Desirable: sports betting, iGaming, or digital business with web analytics exposure.

Responsabilidades

• Deliver end-to-end analytical projects shaping commercial, product, and marketing decisions across our Sports portfolio.
• Build forecasting models combining financials, performance, seasonality and events to improve forecasting.
• Redesign and enhance Tableau dashboards for faster, actionable insights.
• Improve data quality by identifying gaps and strengthening data pipelines with Data Engineering.
• Apply statistical analysis and experimentation to uncover opportunities driving revenue and growth.
• Mentor teammates and identify opportunities to mature the Performance & Insights function.

Conhecimentos

SQL

Python

R

Tableau

Statistics

Ferramentas

Tableau

Descrição da oferta de emprego

Legend is seeking a Senior Data Analyst to join our Sports business. You will collaborate with Product, Commercial, Marketing and SEO to drive data-driven decisions that improve performance.

The role is hands-on with visibility and autonomy, building models, dashboards, and analyses that influence strategy across the business. You’ll own complex analytical challenges from problem definition to recommendation, mentor teammates, and partner with Data Engineering to strengthen data pipelines.