At a Glance
- Tasks: Analyse compensation data and support global reward programmes for a neuroinclusive world.
- Company: Join Everway, a tech company dedicated to valuing unique minds and fostering inclusivity.
- Benefits: Competitive salary, hybrid work options, and a supportive community.
- Other info: Opportunity for career growth in a dynamic, global team.
- Why this job: Make a real impact by shaping equitable reward practices in a fast-paced environment.
- Qualifications: Bachelor's degree and 3+ years in Compensation & Benefits or related roles.
The predicted salary is between 40000 - 50000 € per year.
Every mind is unique. Yet much of the world is still built for what's considered "normal," leaving too many people behind. At Everway, we change that by creating technology that helps everyone understand and be understood. By understanding and addressing the unique needs of each individual, we're creating a world where differences are recognized and valued. Our careers fit real life. When you join us, you're not just taking a job. You're joining a movement to build a more neuroinclusive world. We're a global community of over 800 employees spanning North America, UK, Europe, Australia, and New Zealand. A career here is purposeful and fast-moving, with clear expectations, modern tools, and the clarity to focus on what matters most. Our people are supported and encouraged to show up as they are, with different ways of thinking welcomed and valued. We pride ourselves on our core values that are embedded within our culture. These are to be curious, have courage, and commit fully. Join us at Everway - together, we can unlock the full potential of every mind.
About the role
We are seeking an analytically strong and commercially minded Reward Specialist to support the delivery and continuous improvement of Everway's global compensation and benefits programmes. Working within established reward frameworks, the role will partner closely with People, Finance, and business stakeholders to support reward decision-making and ensure our reward practices remain competitive, equitable, and compliant across all operating locations. The role focuses on reward analysis, modelling, benchmarking, reporting, and insight generation to support compensation planning, pay transparency, reward governance, and the ongoing enhancement of our reward frameworks and programmes. This role is suited to someone who combines strong analytical capability with commercial awareness and can translate reward data into clear, evidence-based recommendations for stakeholders. This role is primarily based in Antrim with a requirement for weekly office attendance (hybrid). However, we are also open to UK-based remote candidates with occasional travel to the Antrim office.
Key responsibilities
- Compensation Analysis & Reward Support
- Analyse compensation and benefits data to support cyclical reward activity, including annual salary and bonus review processes.
- Develop reward modelling and scenario analysis to support compensation planning, budget allocation, and reward decision-making.
- Provide analytical support for compensation programmes, including base salary, bonus, and incentive frameworks, to support attraction and retention objectives.
- Interpret reward data to identify trends, risks, anomalies, and equity considerations, highlighting insights and recommendations to stakeholders where appropriate.
- Support budget tracking, modelling, and analysis relating to compensation and benefits activities.
- Market Benchmarking & Reward Frameworks
- Conduct detailed market research and benchmarking of salaries, benefits, and total reward packages across all operating locations on a regular basis.
- Maintain and update salary benchmarks and salary ranges in line with market data, internal frameworks, and global pay transparency requirements.
- Support the application and ongoing maintenance of the organisation's job architecture framework, ensuring consistency and internal equity across roles.
- Support alignment across grading, salary structures, and reward frameworks.
- Benefits, Governance & Reporting
- Support the evaluation and review of employee benefits programmes through market analysis, utilisation insights, and cost analysis.
- Ensure reward data, reporting, and processes align with relevant legislation and internal governance requirements.
- Maintain awareness of reward-related legislation, employment policy, and emerging market practices to support compliance and governance.
- Produce regular and ad hoc reporting, dashboards, and insights to support People and business decision-making.
- Collaborate with People teams and stakeholders to support communication of reward programmes using clear, data-informed insights.
- Contribute to reward-related projects, process improvements, and continuous improvement initiatives.
- Continuous Improvement & Automation
- Identify opportunities to improve reward processes, reporting, automation, and operational efficiencies across compensation and benefits activities.
- Support reward system enhancements, process improvements, and automation initiatives to improve data quality, scalability, governance, and user experience.
Essential Criteria
- Bachelor's degree in Human Resources, Business, Finance, or a related field.
- 3+ years' experience in a Compensation & Benefits (C&B), Reward, or related specialist role.
- Experience working with compensation data, salary benchmarking, reward modelling, and reward frameworks.
- Experience supporting job architecture, grading, or job evaluation frameworks.
- Strong analytical capability with experience interpreting complex datasets and developing data-driven recommendations.
- Proficiency in Excel and reporting tools; experience with HR systems advantageous.
- Good understanding of compensation, benefits, reward governance, and pay transparency requirements within a global environment.
- Strong organisational skills, attention to detail, and ability to manage multiple priorities collaboratively and independently.
Desirable
- Experience supporting global or multi-jurisdictional reward programmes.
- Experience within a SaaS, technology, or global growth organisation.
- Experience supporting benefits benchmarking, harmonisation, or provider review activity.
- Experience supporting reward process automation, system enhancements, or operational efficiency initiatives within a Reward or People function.
Based in Northern Ireland, with ability to attend the Antrim office on a weekly basis.
To be considered for this role you will be redirected to and must complete the application process on our careers page.
Reward Specialist in Antrim employer: Everway
At Everway, we are committed to fostering a diverse and inclusive work environment where every employee is valued for their unique contributions. As a Reward Specialist based in Antrim, you will benefit from a supportive culture that prioritises personal growth and professional development, alongside competitive compensation and benefits packages. Join us in our mission to create a neuroinclusive world, where your analytical skills can make a meaningful impact within a dynamic global community.
StudySmarter Expert Advice🤫
We think this is how you could land Reward Specialist in Antrim
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those at Everway. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by researching Everway's values and culture. Show us how your skills align with our mission to create a neuroinclusive world. Be ready to share examples of how you've demonstrated curiosity, courage, and commitment in your past roles.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online resources to get comfortable with common questions. The more you practice, the more confident you'll feel when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you're serious about joining the Everway team.
We think you need these skills to ace Reward Specialist in Antrim
Some tips for your application 🫡
Be Yourself:When you're writing your application, let your personality shine through! We want to see the real you, so don’t be afraid to show us what makes you unique and how you align with our values of curiosity, courage, and commitment.
Tailor Your Application:Make sure to customise your application for the Reward Specialist role. Highlight your analytical skills and experience in compensation and benefits, and connect your past experiences to the key responsibilities mentioned in the job description.
Show Your Passion:We’re not just looking for qualifications; we want to know why you’re excited about this role and our mission. Share your thoughts on creating a neuroinclusive world and how you can contribute to that vision through your work.
Check Your Details:Before hitting that submit button, double-check your application for any typos or errors. A polished application shows attention to detail, which is super important for a role like this. And remember, apply through our website for the best chance!
How to prepare for a job interview at Everway
✨Know Your Numbers
As a Reward Specialist, you'll be dealing with a lot of data. Brush up on your analytical skills and be prepared to discuss how you've used data in past roles. Think about specific examples where your insights led to better decision-making.
✨Understand the Market
Familiarise yourself with current trends in compensation and benefits. Research Everway's competitors and be ready to discuss how their reward practices compare. This shows that you're not just knowledgeable but also genuinely interested in the role.
✨Showcase Your Curiosity
Everway values curiosity, so come prepared with questions that demonstrate your eagerness to learn. Ask about their current reward frameworks or how they approach pay transparency. This will highlight your proactive mindset.
✨Be Ready for Scenario Analysis
Expect to tackle some scenario-based questions during the interview. Prepare to explain how you would approach a specific reward challenge or how you would model compensation data. This will showcase your problem-solving skills and analytical thinking.
