HR Systems and Data Analyst

The New Homes Group
Milton Keynes
10 months ago
Applications closed

Related Jobs

View all jobs

HR Data Analyst

ERP Lead Data Analyst

Business Data Analyst

Business Intelligence Analyst (HR Data)

Data & Business Intelligence Analyst

Temporary HR System Support Analyst

HR Systems and Data Analyst

We have an opportunity for aHR Systems and Data Analystprofessional to join the People team inMilton Keynes.

This role would suit someone with a HR analytical and systems background.

You will be responsible for producing and analysing data and continually improving our MI reports. You will proactively build, develop and deliver People Management Information, analytics and Key Performance Indicators (KPIs) to the Connells Group business.

This is an amazing opportunity to begin or develop your career where you will be supported, encouraged and developed to really fulfil your potential. We have a great record of promoting and developing people within our department with many of the team going on to study for their CIPD qualification and take on more senior roles within the business.

You will be responsible for:

Developing and implementing systematic and easily accessible people analytics methods, enabling and encouraging employee and management self-service wherever possible. Identify opportunities to improve data quality To support the People team, in analytical tools and techniques, in the development and delivery of more complex and ad-hoc reporting requirements. Continually improve People MI processes, managing governance and risk controls to function efficiently and effectively

Your experience and skills will include:

Advanced Excel skills (including If statements, Index and match, Sum product, Array Formulas) and an experienced user of Word and Powerpoint Experience with Jasper or PowerBI reporting tools Demonstrable ability and experience in analysing and interpreting employee data/ management information and producing clear and concise reports/insight and recommendations for a wide audience Demonstrable success of building good relationships with stakeholders across the business and externally Excellent communication and grammatical skills Excellent organisational skills with the ability to work to deadlines and prioritise effectively A team player with strong attention to detail

Connells Groupis one of the largest and most successful estate agency and property services providers in the UK. Founded in 1936 and with a network of nearly 600 branches nationwide, the Group combines residential sales and lettings expertise with a range of consumer and corporate services including new homes, mortgage services, conveyancing, EPC provision, surveying, corporate lettings, asset management, land & planning, LPA receivers and auctions.

Connells Group UKis an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity.

CF00431

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.