Job Description

We are seeking a motivated and detail-oriented recent graduate to join our Human Resources team as a HR Data & Process Support Specialist.

In this role, you will play a key part in preparing the HR department for a future powered by AI. You will work on improving data quality, support with optimising Workday processes, and helping build AI awareness and skills across the HR team. This is an exciting opportunity for a tech and data savvy individual passionate about HR, data and emerging technologies to contribute to our digital transformation journey.

Key Responsibilities

1. Data Quality Improvement

Assess and clean HR data to ensure accuracy, consistency, and completeness. Collaborate with HR team members to identify data gaps and implement solutions. Establish processes to maintain high-quality data and robust data storage and retention practices.
2. Workday Process Optimisation

Support the HR Systems team to analyse current Workday workflows and identify areas for enhancement and automation. Support the design, documentation, and testing of updated and new processes. Collaborate with the HR Systems team to ensure Workday processes are aligned with AI-readiness goals.
3. AI Upskilling and Awareness Building

Assist in the creation and delivery of training sessions and resources to upskill the HR team in AI concepts and tools. Research and share AI-related best practices and trends relevant to HR. Act as a point of contact for HR team members seeking guidance on AI and technology initiatives.
4. Cross-Functional Collaboration

Participate in AI pilot projects and provide feedback to improve tools and processes.
5. Continuous Improvement (Longer Term)

Identify opportunities to integrate AI-driven tools and techniques into HR processes. Provide input on how technology can enhance employee experience and decision-making in HR. Support the Business Improvement Committee with the development and implementation of appropriate solutions using automation and AI.

What's in it for me?

Retirement Savings Plan (Pension) - with Legal & General Life Assurance - From your first day of employment with us you are automatically covered for a lump-sum death in service benefit of 2 x your basic salary. However, if you join the STARK Building Materials Retirement Savings Plan (including if you are automatically enrolled) and contribute a minimum of 4% of your Pensionable Earnings, your lump sum death in service benefit will be increased to 4 x your Pensionable Earnings. WorkPerks - A platform home to hundreds of all your favourite high street and online discounts via the provider Reward Gateway Aviva Digicare+ Workplace App (Access to a digital GP, second medical opinions, Mental Health consultation, bereavement service, nutritional consultation) Voluntary company benefits such as Car Salary Sacrifice scheme with VWFS, Cycle2Work, Benenden Healthcare, Critical Illness Cover Employee Discount Refer a Friend scheme Wellbeing Centre via WorkPerks New Reward and Recognition programme - launching soon!
Skills and Qualifications

Required

Bachelor's degree in Human Resources, Data Science, Business, or a related field. Strong interest in HR technology and AI. Proficiency in Excel and other data analysis tools. Excellent communication and interpersonal skills. Highly organised with a keen eye for detail. Willingness to learn and adapt in a fast-paced environment. Basic knowledge of AI concepts and their applications in business. Familiarity with HR systems like Workday. Experience with data visualization tools (e.g., Power BI, Tableau).
About Us

We're proud to be part of STARK Building Materials UK and dedicated to providing top-quality products and exceptional service to our customers. We're a friendly and collaborative team, passionate about what we do and committed to doing it well.??

If you're ready to take your career to the next level and join a team that is dedicated to providing great service, we want to hear from you. Apply today!

Job Types: Full-time, Graduate

Benefits:

Company pension Employee discount Free parking On-site parking Referral programme
Schedule:

Monday to Friday
Application question(s):

What is your email address? What is your postcode?
Work Location: In person