Library Application Analyst

Birmingham
8 months ago
Applications closed

Are you an experienced Application Analyst with a passion for systems support, service improvement, and digital transformation? We're looking for a proactive and technically confident individual to join a forward-thinking Application Operations team, supporting key systems that underpin academic libraries and research infrastructure.

About the Role

You'll provide hands-on support, implementation, and improvement of a suite of specialist applications - including systems for library management, access control, and institutional repositories. You'll work closely with service owners, IT colleagues, and academic stakeholders to ensure excellent service delivery, effective incident resolution, and robust change and release processes.

This is a varied and rewarding role, perfect for someone with strong technical foundations and a structured, analytical approach to problem-solving.

Key Responsibilities

Provide day-to-day application support across a range of digital services.
Diagnose, resolve, and escalate incidents in line with SLAs.
Drive continuous improvement through service review, change management, and strategic enhancements.
Design and execute test plans, support release and deployment activities.
Collaborate on system upgrades, migrations, and integration projects.
Contribute to service governance (e.g. data protection, accessibility, compliance).
Support equality, diversity, and sustainability principles in all aspects of work.

Essential Experience & Skills

Solid experience supporting enterprise applications - ideally in a library, academic, or public sector setting.
Knowledge of Library IT systems such as:
Alma (Library Management System)
Primo (Resource Discovery)
EPrints (Institutional Repository)
Sentry (Access Control)
Strong technical skills including SQL, Python, XML, and working within Linux environments.
Familiarity with protocols and standards such as MARC, Dublin Core, or SIP2.
Excellent communication and customer service skills - able to engage both technical and non-technical audiences.
Experience with IT service management, change and release processes.
Understanding of data governance, DPIAs, and structured problem resolution.

Desirable

Experience with scripting/web technologies (HTML, JavaScript, Perl, VBScript, CSS).
Background in academic library workflows or research infrastructure.
Familiarity with accessibility standards and web auditing tools.

What's on Offer

40 days paid annual leave (including bank holidays and closure days)
One paid volunteering day per year
Sector-leading professional development programmes
Generous pension scheme and occupational sick pay
Access to subsidised childcare, on-site gym, cafés, and green spaces
Hybrid working and flexible arrangements considered

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.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

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

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.