Business intelligence analyst Work, Jobs in Roker, Twr (with Salaries)

Commercial Insights Analyst
Sunderland Association Football Club —Sunderland
- Full-time
- SQL
- AWS
- In-person
Quick apply
2d
Data Analyst
HM Revenue and Customs —Newcastle upon Tyne
- £37,682 - £40,705 a year
- Part-time
- Hybrid work
- English
- SQL
- Presentation skills
- Work from home
12d
Recruitment Performance, Reporting and Planning Officer
HM Revenue and Customs —Newcastle upon Tyne
- £31,096 - £33,270 a year
- Part-time
- Hybrid work
- Microsoft Excel
- Customer service
- Data analysis skills
- Work from home
8d

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Commercial Insights Analyst

Sunderland Association Football Club -
Sunderland

Quick apply

Job details

Full-time
2 days ago

Qualifications

Power BI
Business intelligence
R
Tableau
SQL
Statistical analysis
AWS
S3
Redshift
AI
Data warehouse
Python

Full job description

About the Data & Technology Team:

We are a team of passionate innovators and problem-solvers committed to powering the club through data and technology. Our mission is to deliver actionable insights and strategic intelligence that drive informed decision-making, commercial growth, and competitive advantage across the organisation.

We are responsible for the utilisation and optimisation of the club's physical and digital technology estate — spanning infrastructure, platforms, and applications — ensuring every system and tool is leveraged to its fullest potential. At the forefront of our approach is the progressive adoption of Artificial Intelligence, embedding AI-driven workflows and capabilities across both football and business operations to unlock new efficiencies, automations, and surface insights at pace and scale.

The Opportunity:

This is a high-impact opportunity for an experienced insight professional to shape the commercial intelligence function at the club. As Commercial Insights Manager, you will own the development and evolution of dashboards and reporting frameworks that provide clear, real-time visibility into performance across commercial partnerships, premium hospitality, ticketing, and retail operations.

Your analysis will be central to identifying and unlocking revenue optimisation opportunities — from upsell potential and price elasticity through to attendance drivers — directly influencing the club's financial strategy and commercial roadmap.

You will support the partnerships function on sponsorship valuation and partner reporting, delivering compelling, data-driven evidence of audience reach, engagement, and ROI to support partnership retention and growth. Beyond that, your work will span premium product performance, fan segmentation, and supporter journey analysis — translating complex data into actionable strategies that sharpen marketing effectiveness, deepen fan loyalty, and accelerate revenue generation.

Working closely with the club's data architecture/engineering partners and senior business stakeholders, you will champion data quality, and play a leading role in embedding a data-literate culture across our commercial teams.

What We Ask For:

We're looking for a commercially-minded insight professional who thrives in a fast-paced sporting environment and understands the nuances of fan behaviour, partnership value, and revenue performance.

You will hold a degree in a data-related or quantitative discipline — Mathematics, Statistics, Economics, Computer Science, Data Science, or Artificial Intelligence — with a postgraduate qualification in a relevant analytical field desirable but not essential.

You will bring a minimum of three years' experience in a data analytics, business intelligence, or commercial insight role, with a strong track record of working with CRM, ticketing, or e-commerce data within a consumer-facing business. Experience within professional sport, or the broader sports, partnerships, events and entertainment sector is highly desirable, but not essential.

We are looking for someone with:

Demonstrable experience leveraging AI workflows to drive innovation, enable commercial growth, and improve operational efficiency

Proven ability to build or contribute to fan or customer segmentation models

Strong proficiency in SQL for data extraction, transformation, and analysis

Competency in Python or R for statistical analysis and modelling

Hands-on experience with BI and visualisation tools such as Tableau, Power BI, or equivalent platforms

Solid understanding of data warehousing principles and experience working with cloud data platforms (e.g. AWS S3, Redshift, or similar)

The ability to communicate insight clearly and confidently to non-technical stakeholders, including at senior level

Above all, we are looking for a highly organised, proactive individual who can manage competing priorities, meet deadlines, and take genuine ownership of the insight’s programme.

The successful candidate will be required to obtain an Enhanced DBS check as a condition of employment.

Location and eligibility: This is a full-time, on-site role based at the Stadium of Light. Applicants must have the right to work in the UK, as we are unable to provide visa sponsorship for this position.

Quick apply

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