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- Tasks: Support the company's reward strategy through data analysis and reporting.
- Company: Join a forward-thinking company focused on fair pay and benefits.
- Benefits: 12-month contract with competitive pay and opportunities for growth.
- Why this job: Make a real impact on pay practices and employee satisfaction.
- Qualifications: Strong analytical skills and experience in reward principles required.
- Other info: Collaborative environment with excellent career development prospects.
The predicted salary is between 35000 - 45000 £ per year.
The Reward Analyst plays a key role in supporting the company’s reward strategy, ensuring fair, competitive and well-governed pay and benefits practices. The role supports strategic decision-making by providing analytical expertise across core reward activities, including Gender Pay Gap reporting, remuneration benchmarking, and annual pay review processes.
The role requires strong data capability, attention to detail and the ability to work collaboratively within the People team and other business stakeholders to deliver high-quality data insights to support strategic decision making and maintain pay principles.
In addition to core reward responsibilities, the Reward Analyst will play a key role in producing high-quality people data and insight for senior stakeholders. This includes the preparation of regular and ad hoc reports for the Board, Executive Committee and wider leadership teams, ensuring information is accurate, well governed and clearly presented.
Please note that this role is a 12-month fixed-term contract and can be based out of either our Leeds or Manchester office.
Technical Knowledge- Understanding of reward principles, pay structures and benchmarking methodologies
- Experience of producing statutory Gender Pay Gap reports, including data validation, analysis and development of narrative
- Proficiency in remuneration benchmarking using external salary data
- Knowledge of pay review processes, including data preparation, modelling, scenario analysis and budget tracking
- Understanding of employee benefits provider management and annual reviews
- High level of technical competence in Excel, e.g. pivot tables, lookups and modelling
- Experience of HRIS reporting tools, knowledge of BambooHR is desirable but not essential
- Awareness of relevant UK employment legislation and Financial Services regulatory requirement relating to reward
- Ability to maintain strong data governance, audit trails and compliance standards
- Work closely with People Partners, Finance, Talent acquisition and business leaders to provide clear, accurate reward and people-related insights
- Support People Partners and Line Manager during the pay review cycle, offering guidance on tools, data and reward policies
- Build effective relationships with external benefits providers, ensuring smooth service delivery and timely issue resolution
- Contribute to cross-functional reward and data production projects, sharing expertise and supporting continuous improvement initiatives
- Gender Pay Gap reporting is delivered on time, accurately, and with clear insights that support meaningful action planning
- Benchmarking outputs are robust and well-interpreted
- The annual pay review runs smoothly, with high-quality data, minimal errors and strong business confidence in the outputs
- Employee benefits are well managed, with strong provider relationships, timely issue resolution and positive employee feedback
- Data is accurate, well governed and maintained to audit-ready standards
- Demonstrable improvement to all processes related to reward, including onboarding, promotion, job moves and leavers
- Advanced Excel and strong analytical capability
- Ability to interpret complex data and translate it into meaningful insights
- Ability to communicate complex information in a clear, accessible way, adapting style to suit technical and non-technical audiences
- Effective stakeholder management and relationship management
- High level of organisation and ability to manage cyclical processes
- Focussed on detail and accuracy
- Ability to be flexible & adapt at short notice
- Strong and effective decision-making
- Team player who is willing to collaborate and trust
- Ability to deal with confidential matters with discretion and tact
As this is a Certified role under the SMCR, the Reward Analyst is required to adhere to the FCA Conduct Rules:
- You must act with integrity
- You must act with due skill, care and diligence
- You must be open and cooperative with the FCA and other regulators
- You must pay due regard to the interests of clients and treat them fairly
- You must observe proper standards of market conduct
- You must act to deliver good outcomes for clients
Reward Consultant in Leeds employer: Progeny
Contact Detail:
Progeny Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reward Consultant in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Reward Consultant role.
✨Tip Number 2
Prepare for interviews by brushing up on your data skills. Since this role requires strong analytical capabilities, practice explaining complex data insights clearly. We want to see you shine when discussing your experience with Gender Pay Gap reporting or remuneration benchmarking!
✨Tip Number 3
Showcase your Excel prowess! Make sure you can demonstrate your skills with pivot tables and modelling during interviews. We love seeing candidates who can handle data like a champ, so don’t hold back on sharing your past experiences.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who are ready to contribute to our team and help us improve our reward strategies.
We think you need these skills to ace Reward Consultant in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Reward Consultant role. Highlight your experience with reward principles, data analysis, and any relevant tools like Excel or HRIS reporting. We want to see how your skills match what we're looking for!
Showcase Your Analytical Skills: Since this role involves a lot of data work, don’t shy away from showcasing your analytical capabilities. Include examples of how you've used data to drive decisions or improve processes in previous roles. We love seeing those numbers come to life!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a great fit. We appreciate a personal touch, so let your personality come through while keeping it professional.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Progeny
✨Know Your Reward Principles
Before the interview, brush up on your understanding of reward principles and pay structures. Be ready to discuss how you would approach remuneration benchmarking and Gender Pay Gap reporting, as these are key aspects of the role.
✨Show Off Your Data Skills
Make sure to highlight your technical competence in Excel and any experience with HRIS reporting tools. Prepare examples of how you've used data analysis to support decision-making in previous roles, as this will demonstrate your analytical expertise.
✨Prepare for Stakeholder Scenarios
Think about past experiences where you've collaborated with different teams or stakeholders. Be ready to share specific examples of how you managed relationships and communicated complex information clearly, as this is crucial for the role.
✨Demonstrate Attention to Detail
Since accuracy is vital in this position, prepare to discuss how you ensure high-quality data and maintain strong governance standards. You might want to bring up any processes you've improved in the past that relate to data accuracy and compliance.