Data & Insights Manager

ADLIB
Bradford
10 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Data Insight in The Education Sector

  • Leading & mentoring a talented data team.
  • Hands-on role with Python, SQL, and data visualisation.
  • Work in a purpose-driven company, working for a BCorp certification and making real impact.


Are you a data enthusiast who thrives in turning complex information into meaningful insights? Do you want to work for a company where your skills can directly improve education outcomes for millions of students? Were looking for a Data & Insights Manager to lead a talented team, drive data strategy, and get hands-on with cutting-edge data tools.
What youll be doing:
As Data & Insights Manager, youll be leading a small but talented team, helping them grow, collaborate, and deliver high-quality data solutions. This role is hands-on, so youll also be hands on and diving into data, uncovering insights, and making a real impact across the business.
Youll be working with a massive dataset spanning millions of users, turning complex information into meaningful insights that help schools, teachers, and students. Your work will shape key decisions internally and externally, ensuring data is used effectively to improve education outcomes.
As well as this, youll be driving the companys data strategy, making sure everything is scalable, reliable, and forward-thinking. Youll champion a data-driven culture, empowering teams to use data with confidence and keeping an eye on emerging trends like AI. If you love working with data, thrive in a collaborative environment, and want to make a real difference, this is the perfect role for you and wed love to hear from you!
What experience youll need to apply:

  • Strong technical expertise inPython, SQL, ETL, and Googles data stack (BigQuery, Dataform, Looker Studio, Composer).
  • Experience leading and mentoring data teams, with a passion for developing people.
  • A deep understanding ofdata science, data engineering, and analyticswith hands-on experience working with real-world datasets.
  • Strong problem-solving skills and experience optimising workflows and ensuring data quality.
  • Excellent communication skills, able to translate technical findings into clear, compelling insights for a range of audiences.
  • A purpose-driven mindset and a passion for using data to make a real impact.


What youll get in return:
A salary of up to £80,000 per anuum. An amazing office including free food, flexibility for things like school runs and the need to be at home when required, but working from the office 5 days a week where possible.
Whats next?
Apply with your updated resume, and well review your application as soon as possible to set up a call and discuss the role further! For any questions, feel free to email Tegan.

JBRP1_UKTJ

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.