Data Analyst: Fan Insights, Segmentation & Dashboards

Global Sports Jobs Limited; United States; Hybrid; USD 50,000 - 69,000; Full time

Benefits offered by this job

Discounts

Birthday day off

Gym access

Pension scheme with employer match

Life assurance

Job summary

RFU is seeking a Data Analyst to join the Marketing & Digital team within the Advanced Data Analytics (ADA) program. You will work with customer data (fans, players, volunteers) to uncover patterns, build dashboards, and translate insights into actionable recommendations for marketing, commercial and strategy teams.

You will develop Python pipelines, deploy models on AWS, and create Tableau dashboards to surface segmentation and CLV metrics.

Qualifications

• Experience turning data into insight that informs decisions.
• Strong SQL skills and data visualization prowess.
• Experience with CRM, ticketing or marketing data in a commercial context.
• Knowledge of GDPR and data privacy principles.
• Excellent communication and stakeholder management.
• Self-motivated with the ability to manage workload.

Responsibilities

• Design, build and improve customer analytics models (RFM, CLV, segmentation).
• Develop Python pipelines powering the analytics suite and maintain versioned code.
• Deploy and monitor models on AWS (Glue, ECS, SageMaker).
• Validate models against business outcomes and perform feature engineering.
• Present findings to stakeholders and translate data into actionable narratives.
• Build Tableau dashboards for segmentation and campaign metrics.

Skills

SQL

Tableau

Communication skills

CRM data

Data analysis

Education

Bachelor's degree in a relevant field

Tools

Python

AWS

GitHub

Job description

RFU is seeking a Data Analyst to join the Marketing & Digital team within the Advanced Data Analytics (ADA) program. You will work with customer data (fans, players, volunteers) to uncover patterns, build dashboards, and translate insights into actionable recommendations for marketing, commercial and strategy teams.

You will develop Python pipelines, deploy models on AWS, and create Tableau dashboards to surface segmentation and CLV metrics.