HR Data Analyst

Twinkl Educational Publishing
Newcastle upon Tyne
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Applications Engineer

HR Data & Process Support Specialist

HR Business Partner

Data Architect

Digital Transformation Consultant

Senior Go Developer

HR & People Analyst

Location:Remote

Contract:Permanent


At Twinkl, we are dedicated to supporting educators worldwide by providing high-quality, innovative educational resources. With a mission to inspire and empower teaching and learning, we strive to create a positive impact in classrooms around the globe. As a People Analyst, you will be responsible for collecting, analysing and interpreting HR data to provide valuable insights and support data-driven decision-making within the organisation. This position requires a strong background in HR or a related field with a focus on data analysis and insights generation. While prior experience specifically as a People Analyst is preferred, individuals with extensive experience in the people space or a keen interest are encouraged.


Key Responsibilities

  • Collect, clean, and organise HR data from various sources, including HRIS, performance management systems, employee surveys, and other relevant platforms.
  • Analyse HR data to identify trends, patterns, and correlations, and translate findings into actionable insights for HR and business leaders.
  • Develop and maintain dashboards, reports, and visualisations to effectively communicate HR metrics and KPIs to stakeholders.
  • Conduct ad-hoc analyses to address specific business questions or challenges related to workforce planning, employee engagement, diversity and inclusion, talent management, and other HR areas.
  • Participate in the design and implementation of data-driven HR initiatives, such as predictive analytics models, workforce segmentation, and retention strategies.
  • Ensure data accuracy, integrity, and compliance with relevant privacy regulations and internal policies.
  • Serve as a subject matter expert on HR analytics, providing guidance and training to HR colleagues and other team members as needed.
  • Support the implementation of the HRIS and oversee regular system updates and enhancements to maintain optimal performance.
  • Monitor the system performance and resolve technical issues promptly, ensuring data integrity and compliance by managing data audits and cleanup processes.
  • Working closely with the Head of HR on the Total Rewards element of the organisation:
  • Conduct market analysis and benchmarking to ensure competitive positioning.
  • develop salary structures, incentive plans and variable compensation frameworks for international regions using the UK as a blueprint.
  • Support the development and administration of the performance evaluation process
  • Integrate compensation and rewards with performance management to align employee performance with the organisational goals.
  • Perform cost analysis to measure the financial impact of programmes and propose adjustments as necessary.
  • Report on compensation metrics and financial performance to leadership.


We're interested in anyone who meets one, or a combination of the following:

  • Minimum of 5+ years experience in HR, data analysis, or a related field, with a strong track record of using data to drive business decisions.
  • Proficiency in data manipulation and analysis using tools such as Microsoft Excel, SQL, R, Python, or similar software.
  • Experience with HRIS platforms and data visualisation tools is highly desirable.
  • Strong analytical and problem-solving skills, with the ability to think strategically and translate data into actionable insights.
  • Excellent communication skills, with the ability to effectively present complex information to diverse audiences and influence decision-making at all levels of the organisation.
  • Detail-oriented and organised, with a commitment to data accuracy and quality.
  • Ability to work independently as well as collaboratively in a fast-paced and dynamic environment.
  • Bachelor's degree in Human Resources, Statistics, Data Science or a related field.


If you require a reasonable adjustment to the application/selection process to enable you to demonstrate your ability to perform the job requirements please include this at the foot of your covering letter. This will help us to understand any modifications we may need to make to support you throughout our selection process.


Benefits


In return for everything you can bring, we can offer you an exciting role in a fast-growing and dynamic business, with plenty of career opportunities.


  • A friendly, welcoming and supportive culture. We believe work should be fun and always put people before the process
  • Diversity, inclusion and belonging - our Employee Network Program includes working groups for LGBTQ+, People of Colour, Disabilities (visible and invisible), Women in Tech and Working Parents.
  • From day 1 - Westfield Health, 33 annual leave days per year (pro-rata) inclusive bank holidays, a "Me" day each year, a charity day each year, flexible working policy with opportunities to work from home and Twinkl subscriptions.
  • Quarterly company awards programme
  • Seasonal events
  • Referral scheme
  • Cervical and Prostate screening
  • Company sick pay after 3 months of service
  • After probation - cycle-to-work scheme
  • Long-term service reward - Life insurance, enhanced pension contribution, enhanced maternity pay, enhanced adoption pay and enhanced paternity pay, long service award, long service annual leave

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.

Job-Hunting During Economic Uncertainty: AI Edition

Artificial intelligence (AI) has become a driving force behind modern technology, transforming industries as diverse as finance, healthcare, retail, and manufacturing. From predictive analytics and natural language processing (NLP) to computer vision and generative AI, countless innovations rely on AI algorithms to solve complex problems and create new business opportunities. Despite its enormous potential, however, the AI job market can be impacted by broader economic uncertainties—recessions, investment slowdowns, or shifting corporate priorities—that lead to more selective hiring and tighter budgets. For job seekers in AI, this can mean grappling with fewer open positions, heightened competition, and extended decision-making timelines from employers. Yet, AI also remains integral to the digital future: as companies seek efficiencies through automation, data-driven insights, and sophisticated machine learning, opportunities persist even in a down market. The key is knowing how to stay visible, adaptable, and resilient when the broader environment feels unstable. In this guide, we’ll explore: Why economic volatility influences AI hiring and how this affects your job search. Proven strategies to maintain a competitive edge, even when budgets and roles shrink. Ways to refine your professional profile, emphasise relevant AI skills, and leverage networking effectively. Practical methods to stay motivated and focused, despite possible hiring slowdowns. How www.artificialintelligencejobs.co.uk can serve as your springboard for targeted AI opportunities. By combining foresight, adaptability, and a robust professional brand, you can secure a valuable AI position that propels your career forward—even during periods of economic uncertainty.

How to Achieve Work-Life Balance in AI Jobs: Realistic Strategies and Mental Health Tips

The Artificial Intelligence (AI) sector is evolving at an astonishing speed, reshaping industries that range from healthcare and finance to retail and cybersecurity. This transformation has triggered a massive demand for AI professionals—from machine learning engineers and data scientists to AI ethics specialists. With abundant opportunities and the allure of cutting-edge projects, it’s no surprise that AI is among the most sought-after career paths. Yet, behind the promise of lucrative salaries and pioneering research lies a pressing question: Is it actually feasible to maintain a healthy work-life balance in high-intensity AI roles? In a field known for demanding hours, intricate problem-solving, and perpetual learning curves, the balance between professional success and personal well-being often becomes precarious. In this article, we’ll explore real-world approaches to achieving work-life balance in the AI jobs sector. We’ll discuss why these roles can be stressful, offer realistic expectations for mental health, and provide actionable strategies for setting boundaries that protect both your career trajectory and your peace of mind. Whether you’re a seasoned AI professional or just stepping into this innovative industry, this guide will help you navigate the intensity without sacrificing your overall well-being.

Shifting from Academia to the AI Industry: How Researchers Can Harness Their Skills to Drive Commercial Artificial Intelligence

Artificial intelligence (AI) has advanced from a specialised academic pursuit to a transformative force in almost every sector—from healthcare diagnostics and autonomous vehicles to recommendation systems and creative generative models. As AI technologies continue to grow in complexity and impact, companies are looking for talent that combines deep theoretical knowledge with the ingenuity to solve real-world challenges. Increasingly, PhDs and academic researchers fit this profile perfectly. This guide will help you map out the transition from academia to industry in artificial intelligence. Whether you specialise in reinforcement learning, computer vision, natural language processing, or another AI discipline, you’ll find actionable advice on how to translate your academic strengths, adapt to commercial constraints, and excel in roles where your research insights can revolutionise products, services, and user experiences.