HR Systems & Data Analytics Officer

Waverley Borough Council
Godalming
1 week ago
Create job alert

This is an excellent opportunity to join an experienced, enthusiastic and collaborative People & OD team in a role that actively invests in your professional development. Offering genuine variety, this position will enable you to use your expertise in systems and data to make a meaningful impact on operational and strategic decision-making across Guildford and Waverley Borough Councils.

We are seeking a People Systems and Data Officer to support the maintenance and development of our HR Information Systems, including iTrent and Business World, ensuring workforce data is accurate, reliable and accessible. This is a key role supporting digital transformation and helping embed a culture of continuous improvement through data‑led insight.

You will bring experience working with HR systems, including system administration, data maintenance, and troubleshooting to ensure accuracy and reliability. You will demonstrate strong analytical skills with the ability to interpret complex data, produce clear reports, and provide meaningful insights to support decision making. Alongside this, you will have excellent attention to detail and communication skills, with the ability to support employees and managers, resolve system queries, and work collaboratively across HR and wider services.

In this role, you will support system upgrades and user testing, maintain data integrity through audits and validation, and produce high-quality People reports and dashboards. You will also help ensure statutory compliance and GDPR standards are met while providing guidance and support to system users across both councils.

The role is offered on a hybrid working basis across Godalming and Guildford. The post is full time (37 hours per week), however all applications will be considered and we welcome conversations about flexible working arrangements.

For an informal discussion about the post, please contact Kal Patel (HR Systems & Data Analytics Manager) on

We do not accept CV’s without a completed application form. Strictly no agencies please.

Closing date for applications: 9am on the 2nd March 2026

In return for your valued contribution, we can offer you a competitive benefits package which includes hybrid working and agile working policies, training and development opportunities, generous annual leave and flexi time, free onsite parking, an employee assistance scheme and membership of the Local Government Pension Scheme. You can find out more about working at Waverley and our benefits by visiting - Working at Waverley Borough Council | Waverley Borough Council

The district is home to many different people, and we want our workforce to reflect our diverse local communities. We encourage and welcome applications from people of all backgrounds and experiences - we are a Disability Confident employer and appoint on merit. You can find out more about this scheme and check your eligibility here

We are proud to have signed the Armed Forces Covenant and welcome applications from serving or ex‑members of the armed forces and their partners. We offer an interview scheme for serving and ex‑military forces members when they meet the essential criteria for the role. You can find out more about this scheme and check your eligibility here

Please note we do not accept applications after the stated closing time and right to work in the UK will be checked as part of the interview process.


#J-18808-Ljbffr

Related Jobs

View all jobs

HR Systems & Data Analytics Lead - Hybrid

Data Analytics Engineer (Microsoft Fabric)

Project Manager - Data Analytics (Supply Chain)

Data Analytics Engineer (Microsoft Fabric)

Data Analytics Engineer (Microsoft Fabric)

Data Analytics Engineer (Microsoft Fabric)

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.