Operations Analyst - Sport and Football enthusiast essential

CV-Library
Leeds, West Yorkshire
16 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Director of Technology - AI

Digital Catapult Bristol, County Of Bristol, United Kingdom
£110,000 – £130,000 pa Hybrid
Spotlight

Senior Machine Learning Scientist

Chattermill London, United Kingdom
Remote

Senior Partner Operations Consultant

Quantexa London, United Kingdom
Hybrid

Strategy Analyst VP

Barclays London, E14 5RB, United Kingdom

Principal Analyst, Falcon Complete , GBR)

CrowdStrike United Kingdom
Remote

Analyst I, Falcon Complete

CrowdStrike Bigton, Alba / Scotland, ZE2 9GA, United Kingdom
Remote

Analyst I, Falcon Complete

CrowdStrike United Kingdom
Remote

Junior Cyber Analyst (Early Careers Program)

Darktrace Cambridge, CB2 3BJ, United Kingdom
On-site
Posted
13 Mar 2025 (16 months ago)

A leading Leeds-based tech organisation is looking for a passionate Football and Data Enthusiast to join their team as an Operations Analyst. If you're a football fan with a love for data, this is the perfect opportunity to turn your passion into a career!

Key Responsibilities:

Manage and analyse large volumes of data to ensure accuracy and functionality across various systems.
Monitor systems to ensure data is behaving as it should. If data isn't performing correctly, investigate and resolve the issue.
Map data, ensuring it's organised and flows correctly across different systems.
Constantly look for ways to improve data processes and identify areas for improvement.
Work with spreadsheets, ensuring data is well-managed and accurate.
Collaborate with your team to ensure smooth and efficient operations.
No direct customer contact, but a vital part of the team ensuring everything runs efficiently behind the scenes.

Shifts & Schedule:

5 shifts a week, including weekends.
3 shifts: 9am - 5pm.
2 late-night shifts per month: until 10pm.
Weekend shifts will start at 7am, 9am, or 1pm for 8-hour shifts.

Ideal Candidate:

Data Science Graduate or someone with experience in a data-related role.
A genuine love of football and sport.
Strong ability to manage large sets of data and work with spreadsheets (Excel, Google Sheets, etc.).
An analytical mindset with the ability to identify issues and solve problems when data isn't behaving as expected.
A keen eye for improvement opportunities within data processes.
Excellent attention to detail and strong organisational skills.If you're ready to combine your passion for football with your love for data and work in an exciting tech-driven environment, we'd love to hear from you.

Huntress Search Ltd acts as a Recruitment Agency in relation to all Permanent roles and as a Recruitment Business in relation to all Temporary roles.

We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout.

PLEASE NOTE: We can only consider applications from candidates who have the right to work in the UK

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.