Information Officer/ Data Analyst

Anglia Ruskin University
Chelmsford
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst & Property Records Officer

Data Analyst & Property Records Officer

Data Analyst & Property Records Officer

Data Analyst & Property Records Officer

Business Data Analyst

Repairs Data Analyst

About ARU

Job Category: Administrative


Vacancy Type: Permanent


Employment Type: Part time


Salary From: £38,784 p.a. pro rata


Salary To: £44,746 p.a. pro rata


Location: Chelmsford/Cambridge


Faculty/Prof Service: Faculty of Health, Medicine & Social Care


Closing Date: 27/11/2025


Ref No: 3743


Documents:



  • Job Description Person Specification (PDF , 612.16kb)
  • Candidate Brief (PDF , 2375.5kb)

ARU is a global university transforming lives through innovative, inclusive and entrepreneurial education and research. ARU holds a Gold award for the quality of its education, awarded through the Teaching Excellence Framework (TEF).


ARU’s research institutes and four faculties bridge scientific, technical and creative fields. We deliver impactful research which tackles pressing issues and makes a real difference to our communities. Our academic excellence has been recognised by the UK’s Higher Education funding bodies, with 16 of our research areas assessed as world leading. We are the largest provider of Nursing, Midwifery, Health and Social Care students in the East of England, and we are also among the UK’s leading universities for degree apprenticeship provision, working with hundreds of employers across the UK.


About The Role

As the Faculty’s Information Officer/Data Analyst you will be responsible for preparing and submitting all statutory data returns required by the NHS England Education Contract, taking data from various sources and preprocessing to ensure accuracy and completeness of all data returns.


You will collaborate with teams across the Faculty to identify opportunities for improving data quality, provide informed recommendations on solutions, and take responsibility for responding to ad hoc data requests, including those related to Freedom of Information and Subject Access Requests.


With a degree and an appropriate level of experience and evidence of continuing professional development relevant to the role, you’ll have demonstrable experience of data preprocessing and working with large datasets, ideally with experience of regulatory body reporting. You will be used to working to very rigid deadlines, and managing a busy and varied workload. A key responsibility of this role will be to identify data quality issues across various systems and collaborate with internal and external stakeholders to implement sustainable improvements.


You will have an overall high level of digital literacy and have strong communication skills, able to simplify complex information to support understanding and decision making across diverse stakeholder groups.


Informal enquiries can be made to Kate Tuerena, Faculty Deputy General Manager at .


Interviews will take place on Thursday 11th December 2025.


Find out more about working with us and how we recruit.


Guidance Notes

We are committed to safeguarding and promoting welfare of our staff and students and expect all staff and volunteers to share this commitment. Applicants should be aware that ARU will carry out online searches as part of the due diligence on short listed candidates.


We value diversity at ARU and welcome applications from all sections of the community.


We have a responsibility to ensure that all employees are eligible to live and work in the UK.


In accordance with the UK Government’s immigration points-based system, this post does not meet the characteristics of a skilled job including salary criteria to be eligible for sponsorship under the Skilled Worker Route.


Committed to being inclusive and open to discuss flexible working.


We reserve the right to close this vacancy once we have received sufficient applications.


Please download the Job Description Person Specification for key requirements. To apply, demonstrate how your skills and experience meet the criteria.


#J-18808-Ljbffr

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.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.