Data Analyst (Applied)

Paradigm Sports Intelligence; Ipswich; On-site; GBP 30,000 - 45,000; Full time

Job summary

Join Paradigm Sports Intelligence as a Data Analyst (Applied) where you will work directly with Ipswich Town Football Club. This role involves utilizing data science to provide insights supporting decision-making, requiring strong programming skills in Python and SQL, as well as experience with visualization tools such as Tableau or Power BI. Candidates will enjoy a collaborative environment focused on data analysis and its impact in the sports industry.

Qualifications

• Strong problem-solving and programming skills, particularly in Python and SQL.
• Experience with visualization tools like Tableau or Power BI.
• Degree (2:1 or higher) in a related field or equivalent experience.

Responsibilities

• Analyze data and deliver insights to key stakeholders.
• Produce dashboards and technical reports for various audiences.
• Collaborate across different areas of the data analysis pipeline.

Skills

Problem-solving

Programming

Data Visualization

Communication

Education

Degree in Computer Science or Data Analytics

Tools

Tableau

Power BI

Python

SQL

Job description

Data Analyst (Applied)Paradigm Sports Intelligence Ipswich, UK 28 May, 2025Full time Computer Science Data Science Developer EFL Engineer Technology Web DesignJob DescriptionPARADIGM SPORTS INTELLIGENCE

Data Analyst (Applied)

Permanent contract

37.5 hours per week

Ipswich

At Paradigm Sports Intelligence, you will be working directly with Ipswich Town Football Club. You will be a key part of the team that delivers crucial data science and insights to support decision-making across all aspects of the Club.

In this role as a Data Analyst (Applied), you will work closely and collaboratively with data science and engineering staff to fulfil an important role in communicating insights to key stakeholders. Your work will be highly collaborative and will involve working with a wide range of data sources. You will produce outputs across a variety of mediums, including dashboards created in dedicated software (e.g. Tableau, Power BI), technical outputs (e.g. reports, presentations), and bespoke software and custom-built tools (e.g. websites and applications for internal use).

Who are we looking for?

While your primary responsibility will be data analysis, the role is highly applied and collaborative. The ideal candidate will:

Have strong problem-solving and programming skills, and a willingness to engage across the full data science pipeline, from raw data to insight delivery.Have proficiency in Python and SQL, as both are essential for manipulating, cleaning, and extracting insights from both structured and unstructured data.Be experienced with visualisation tools such as Tableau or Power BI and comfortable communicating insights in various formats — including reports, presentations, dashboards, and custom-built internal tools.Have a degree (2:1 or higher) in computer science, data analytics, or a related field — or equivalent experience.Ideally have equivalent industry experience. Previous experience working in the football industry is desirable.Have strong written and verbal communication skills.Be self-motivated, committed and driven.Have a strong willingness to learn a range of new skills and build on your existing abilities.Be organised, able to meet deadlines and keep calm under pressure.Have strong problem-solving skills and work well in a team.For more information about the role, please download the job description here.

Candidates of all levels of previous experience will be considered.

How to Apply:

If you are interested in the role, please email a cover letter (no longer than 2 pages) and your CV and with the subject line ‘Data Analyst’ to [e-mail].

Your cover letter should include why you are suitable for the role and answers to the following:

Describe how you have previously used data to support effective decision making.How do you approach sharing insights from technical data with non-technical stakeholders, and how do you ensure that the outputs are appropriate to the audience?Please provide any relevant examples of when you have collaborated across different areas of the data analysis pipeline, and how you ensured that the collaboration was effective.

Closing date for applications: Wednesday 11 June 2025