Data Operations Analyst

England Rugby; Greater London; Hybrid; GBP 46,000; Full time

Job summary

A national sports organization is seeking a Mid-Level Data Operations Analyst to manage data across the organization. The ideal candidate will be skilled in SQL and experienced in data analysis, with responsibilities including maintaining data integrity and collaborating with various teams. The role offers room for technical growth while promoting an inclusive culture. Flexibility to work at Allianz Stadium or from home is provided.

Qualifications

• 3+ years of experience in data analysis, data engineering or a related role.
• Experience working with large or complex datasets.
• Understanding of data governance, data quality, and GDPR principles.

Responsibilities

• Maintain and improve data flows from external sources into the data warehouse.
• Collaborate with the Data Architect to resolve data quality issues.
• Ensure data accuracy and compliance with governance standards.

Skills

Strong SQL skills

Data analysis experience

Tableau experience

Data quality troubleshooting

Strong communication skills

Tools

Tableau

Power BI

AWS

Job description

Description

Working at the RFU means being part of the bigger picture at England Rugby: to be rooted in our purpose which is to enrich lives, introduce more people to rugby union & develop the sport for future generations. If our purpose resonates with you and you recognise the value that sport can bring to peoples’ lives we would love to work with you.

Job Title: Data Operations Analyst (Mid‑Level)

Department: Digital Technology

Reports to: Business Applications Manager

Salary Banding: ~£46,000 per annum

Job Level: Implement

Location: Allianz Stadium (with some flexibility to work from home)

Travel Requirements: None

Employment Type: Permanent

Working Hours: Full‑time, 35hrs per week

Application Information

• Please submit an anonymised CV (i.e. remove personal details).
• The closing date for applications is Monday 8th December at 5pm.

The Role

The Rugby Football Union (RFU) is seeking a technically capable and detail‑oriented Data Operations Analyst to support the effective use of data across the RFU. The use of data is growing within the RFU and this position is vital in ensuring its accuracy and value across the organisation.

The role will involve the day‑to‑day management of the RFU’s Data Warehouse together with the support of associated processes such as data ingestion and transformation. Data is taken from a wide range of sources including the Game Management System (GMS) ticketing and other commercial areas. Working with other members of the Digital and Technology Team alongside third‑party support partners you’ll play a key part in maintaining data integrity, troubleshooting data quality and pipeline issues, and enabling reliable reporting and insights. This role bridges analytics and data engineering – ideal for someone with a strong analytical mindset and a desire to grow deeper technical skills. The role will provide plenty of scope for technical growth for the right candidate working collaboratively with departments across the RFU including our Architecture team, Marketing and support partners.

The role will report to the Business Applications Manager and assist the Data Architect on a day‑to‑day basis.

The Team

The Digital Technology department is a small but vital team at the RFU providing support and development capabilities across a wide variety of platforms and solutions. Supporting everything from match‑day infrastructure to day‑to‑day business operations, the team provides the technology to run all aspects of rugby from grassroots through to national teams.

Key Responsibilities

• Support the maintenance, monitoring and improvement of all data flows from external sources including the GMS ticketing into the central data warehouse.
• Collaborate with the Data Architect and Data & Insights Team to diagnose and resolve data quality, transformation and integration issues.
• Ensure data accuracy, consistency and compliance with governance and GDPR standards.
• Work closely with business stakeholders to understand requirements and translate them into actionable insights or technical tasks.
• Create and maintain support documentation, data mapping and change tracking for data warehouse updates and system integrations.
• Contribute to the continuous improvement of data processes, tooling and reporting frameworks.
• Work with suppliers and third‑party support partners as required to support and develop data platforms and processes.
• Actively collaborate with colleagues to contribute to the development and delivery of the current strategic business and operational plans.
• Act as an ambassador for and promote the best interests of the RFU, including the promotion of our culture and core values: "This Rose Means Everyone", Put The Team First, Shape The Future, Respect Each Other.
• Undertake other duties as may be required from time to time, consistent with the responsibilities of the post and the needs of the organisation.

Qualifications, Skills & Experience

The skills and attributes outlined in this description are not exhaustive and we welcome candidates who can bring different relevant experiences to the role.

Essential

• Strong SQL skills and experience querying and transforming data from relational databases.
• Demonstrable experience in a data analysis, data engineering or related technical role.
• Some experience in Tableau (or related dashboarding software).
• Experience working with large or complex datasets, ideally within a data warehouse environment.
• Ability to diagnose and troubleshoot data quality and pipeline issues.
• Strong communication and documentation skills with the ability to explain technical issues to non‑technical audiences.
• Understanding of data governance, data quality and GDPR principles.
• Committed to embodying the ethos of our culture by using our three core values – Put The Team First, Shape The Future, Respect Each Other – to guide your day‑to‑day decisions, actions and interactions.
• Committed to actively contributing and building an inclusive culture in your role and day‑to‑day behaviours.

Desirable

• Experience with participant membership platforms.
• Exposure to CRM platforms.
• Exposure to data engineering tools and concepts (RDS, Python).
• Familiarity with cloud data platforms (AWS preferred).
• Experience working with APIs or flat file data imports.
• Interest in grassroots sport participation data or sports analytics.

Additional Information

• We want you to have every opportunity to demonstrate your skills, ability and potential. If there is anything we could do to support you through your application or to provide the best environment for your interviews, including assistance or adjustment, please reach out to us.
• During your application we will ask questions about your identity. This information is considered highly confidential and will not be seen by hiring managers. You can find out more about why we ask these questions here.

Key Skills & Experience

Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics.

Experience: years.