Data & Insights Manager

ADLIB
Bradford
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst - Drive Real Estate Insights

People Data Analyst

Data Analyst

Data Analyst

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.

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.

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.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.