Senior HR Data Analyst / HR Systems & Data Manager

Taylor Wimpey plc
High Wycombe
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

HR Senior Data Analyst

HR Senior Data Analyst

Data Architect

Data Scientist

Senior Data Engineer - (Python & SQL)

Make a Home at Taylor Wimpey

At Taylor Wimpey, we don’t just build houses; we build futures. Not just for the people who live in our homes, but for our own people too. When we bring our collective skills together, we make amazing things happen - for ourselves, for each other and for our customers. There are incredible opportunities on your doorstep, and we want you to discover them all.

With 22 regional offices across the UK and operations in Spain, we bring our vision to life locally. Here, you’ll be given the tools to develop your skills and the freedom to explore new avenues. Share your ideas, experience a no-blame culture, and shape your work around your life.

Every single one of us plays a vital role in bringing to life incredible places and spaces, where anyone can thrive. We believe in making a positive difference to our planet, as well as to people.

Home to work that matters, and you can be a part of it.

Job Summary

Maintains and has responsibility for the quality and integrity of the HR IT infrastructure landscape including but not limited to the HR and Payroll system /Flex benefits/SAP Concur.

Provides analysis, insights and recommendations through compilation of reports, dashboards trend analysis and relevant data related to key business performance areas. This may include data relating to compensation, employee performance, workforce development and demographic statistics including diversity.

Ensures the best use of the integrated HR related systems; continuously developing and upgrading the HR system processes and data flow to ensure maximum business efficiencies.

The data and reports provided will be critical in supporting business units in delivering their people strategy and making informed decisions relating to future plans.

Primary Responsibilities

  • Partnering with the HR Leadership Team to understand requirements and proactively recommend solutions.
  • Build data analysis outcomes that answer business questions by using people and business data.
  • Use business intelligence tools available and build datasets, reports, and dashboards.
  • Support the HR Leadership Team towards making data driven decisions by providing understanding and insights into data meaning and trends.
  • Perform data manipulation, modelling, and visualisation.
  • Implement and manage systems that help our users better support their business areas.
  • Seek to develop technical solutions which deliver business value.
  • Working closely with finance, payroll, human resources, and IT to ensure the integrity of human resources systems and data. This includes system upgrades, organizational design changes and analysing potential security issues.
  • Select and deploy new technologies and systems that help our people do their best work, leading the testing and development of any new solutions
  • Support the annual salary and bonus process through the development of the allocation system, testing data in all HRIS systems, user support once live and subsequent detailed analysis.
  • To maintain suitable documentation of reporting systems and user guides for all HR systems.
  • Provide administration for the data aspects of any HR/Payroll Projects

Experience, Qualifications, Technical Requirements

  • Experience in a similar HR data analytics / HR MI reporting role
  • Very strong excel skills, PowerBI and Power Query
  • An excellent understanding of HR functions within a mid - large organisation
  • Experience developing HR MI reports and dashboards using varied data sets
  • Ability to provide insights into data and reports and bring the information to life
  • Experience of presenting data and reports to stakeholders would be advantageous
  • Experience in Success Factors

What We Offer At Taylor Wimpey

At Taylor Wimpey, we are committed to enabling you to make a home with us. Our work is not just about building homes; it's about doing work that matters, making a positive impact on the lives of our customers and the communities we serve.

We enjoy many benefits as standard, including excellent retail discounts, company funded life insurance and private healthcare, and access to a quality pension scheme with company contributions. We also offer our discounted house purchase scheme, car leasing scheme and share plans, as well as the opportunity to tailor your benefit package to suit your needs with options such as buying extra annual leave or adding dependants to your benefit cover. Our total reward offer works perfectly with our culture, we are a welcoming community where everyone can feel at home.

We create a home to your future by providing opportunities for growth and development. We offer industry leading professional training and development, which supports you to unlock your potential and fulfil your career and personal goals in a variety of opportunities and environments. We look to develop our people in the skills and areas they are most interested in, leveraging your qualities and appreciating your unique competencies, skills and expertise that, when we come together, make this a great place to work.

If you want to do work that matters and build a career that lasts, make a home at Taylor Wimpey.

Inclusivity Statement

As a proud Disability Confident Employer, Taylor Wimpey is committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us during the application process that they have a disability and meet the minimum requirements for the role. Join us in building a truly diverse and empowered team.

Internal Applicants

Please inform your line manager if you wish to apply for this role.

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.