HR Systems and Data Analyst

Eckington, Derbyshire
4 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Senior Data Engineer

HRIS Administrator and Data Analyst

HRIS Administrator and Data Analyst

Business Intelligence Developer

Data Analytics Engineer (Microsoft Fabric)

Job Title: HR Systems & Data Analyst

Salary: £40,000 DOE

Location: Sheffield

Overview:

Seeking an experienced HR Systems & Data Analyst to manage and improve people data processes, reporting, and insights. This role will consolidate HR information across systems, enhance data accuracy, and deliver meaningful reporting to support business decisions.

Key Responsibilities:

Manage, consolidate, and validate people data from multiple sources.
Develop and maintain Power BI dashboards for workforce metrics.
Improve data accuracy, consistency, and reporting processes.
Provide insights for workforce planning, organisational design, and compensation.
Deliver ad-hoc analysis on turnover, reward, and development.
Collaborate with HR, Finance, and IT to align data and reporting.
Ensure compliance with data governance standards.
Support continuous improvement of HR systems and reporting tools.Skills & Experience:

Proven experience in HR data, analytics, or systems roles.
Advanced Power BI and Excel skills; SQL experience desirable.
Strong analytical and problem-solving abilities.
Knowledge of HR data domains (headcount, recruitment, compensation, training).
Experience managing data from multiple systems and improving processes.
Excellent stakeholder communication and data presentation skills.
High attention to detail, proactive, collaborative, and adaptable.For more information please contact Alice Connors on (phone number removed)

About Us

We are dedicated to fostering a diverse and inclusive community. In line with our Diversity and Inclusion policy, we welcome applications from all qualified individuals, regardless of age, gender, ethnicity, sexual orientation, or disability. As a Disability Confident Employer, and part of the Nicholas Associates Group, we are committed to supporting candidates with disabilities, and we're happy to discuss flexible working options.

We are committed to protecting the privacy of all our candidates and clients. If you choose to apply, your information will be processed in accordance with the Nicholas Associates Group of companies

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 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.

Jobs

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.

Education

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.

🍪 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.