HR Data & Process Support Specialist

Coventry
2 months ago
Applications closed

Related Jobs

View all jobs

HR Data Analyst

HR Data Analyst - Kempston

HR Data Analyst (SuccessFactors Reporting)

Employee Benefits Administrator

Pensions System Calculation and Data Analyst

Interim Commissions Analyst

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

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.

Jobs

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

🍪 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.