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- Tasks: Lead data analysis to support Arqiva’s People and Workforce Data Strategy.
- Company: Join Arqiva, a leader in UK TV, radio broadcast, and Smart utilities.
- Benefits: Up to £65k salary, 10% bonus, private medical, and 25 days leave.
- Why this job: Make an impact with data-driven insights in a flexible, hybrid work environment.
- Qualifications: Experience in data analysis, HR processes, and proficiency in tools like Python and SQL.
- Other info: Grow your career with innovative technology and a commitment to equal opportunities.
The predicted salary is between 46800 - 78000 £ per year.
Senior HR Data Analyst
Location: Hybrid with commutable distance to Winchester
Inclusive Arqiva ….Our networks include our Diversity Ambassadors, Eldercare, Spectrum, Working Families, Pride, Veterans and Inspiring Women – join and contribute to our active networks!
Total Package
- Up to £65k base salary
- 10% Bonus
- 6% pension contribution
- Private Medical
- 25 days annual leave
- Access to our comprehensive flexible benefits including discounts on big brands, wellness and employee assistance programmes, gymflex, buy and sell annual leave, travel and dental insurance
- Work. Life. Smarter. Our commitment to a flexible and hybrid working culture
Responsible for leading the delivery and management of Arqiva’s People and Workforce Data Strategy. This role ensures the provision of high-quality, reliable people data and reporting that underpins strategic workforce initiatives and enables actionable insights.
The Role:
- Responsible for the delivery of data analysis and insights that support business goals.
- Ensure the accuracy and integrity of all People and Workforce data reporting and analytics.
- Collaborate with cross-functional teams to align data analysis with business needs.
- Develop and implement best practices for data analysis and visualisation.
- Drive the automation of data processes within People and Culture to improve efficiency.
- Manage resourcing, tools and capabilities required to ensure timely and accurate data reporting.
- Promote a data-driven culture across Arqiva and across all People related activity, advocating for the use of data in decision-making.
- Accountable for providing technical, data or modelling support for seasonal HR Events including pay review, bonus, OD work and any ad-hoc activities that arise
- Accountable for the accurate and timely delivery of people related statutory reporting requirements, such as gender pay gap reporting
- Responsible for the curation and presentation of routine management insight reporting such as monthly status reports, operational reviews, and any other repeating reporting exercises, leveraging self-service approach wherever possible and managing stakeholders to ensure deadlines are met
- Accountable for People Data security review practices including routine user access reviews to ensure only the right people have access to the right data at the right time
The Person
- Data Analysis – Ability to manipulate and analyse data, and make informed decisions
- Data Analysis & Visualisation Tools – Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI, Tableau
- Data Modelling – Ability to perform statistical analysis and predictive modelling.
- Data Governance – Knowledge of data governance and quality assurance practices.
- Communication skills – collaborate with cross-functional teams, present technical info and provide training or support
- Analytical and technical problem-solving skills to diagnose and resolve technical issues
- Project management – ability to manage one or multiple projects or project tasks and meet deadlines
- Relationship management – ability to foster relationships (and network) with external vendors, suppliers, industry peers, etc.
- People Analytics – Extensive knowledge of people reporting requirements.
- HRIS and Org Modelling systems – Good understanding of people systems, technologies and people data sets
- Substantial experience in data analysis or a related field.
- Substantial experience of HR processes, employment life cycle and annual people cycles including workforce planning methodologies.
- Knowledge of business intelligence platforms and predictive analytics.
- Experience working in cross-functional teams and presenting to senior leadership to drive business decisions.
- Proven ability to manage and develop high-performing teams.
Why join Arqiva? We are the undisputed leader in UK TV and radio broadcast and the UK’s leading Smart utilities platform. This means we have a strong heritage and foundation for future growth for you to grow your career with us.
Our journey is to transition global media distribution to cloud solutions, where we aim to double our revenue and continue to grow by being an innovator of scalable solutions for new connectivity sectors. We have opportunities in new technology applications and products, you will have opportunities to learn and develop with us.
Job Info
- Job Identification 24041
- Posting Date 09/29/2025, 10:49 PM
- Job Schedule Full time
- Locations Flexible UK Location, Flexible UK Location, SO21 2QA, GB
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Senior HR Data Analyst employer: Arqiva
Contact Detail:
Arqiva Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior HR Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Arqiva on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss how you've used tools like Python or SQL in past roles. We want to see your analytical prowess in action!
✨Tip Number 3
Show off your problem-solving skills! Think of examples where you've tackled complex data issues or improved processes. This will demonstrate your ability to drive efficiency, which is key for the Senior HR Data Analyst role.
✨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 you're genuinely interested in joining the Arqiva team. Let’s get you that job!
We think you need these skills to ace Senior HR Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior HR Data Analyst role. Highlight your experience with data analysis, visualisation tools, and any relevant HR processes. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our People and Workforce Data Strategy. Keep it engaging and personal – we love a good story!
Showcase Your Data Skills: Since this role is all about data, make sure to showcase your proficiency in tools like Python, SQL, or Power BI. Include specific examples of how you've used these tools to drive insights or improve processes in your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at Arqiva
✨Know Your Data Tools
Make sure you brush up on your skills with data analysis and visualisation tools like Python, R, SQL, Power BI, and Tableau. Be ready to discuss how you've used these tools in past roles to drive insights and support business goals.
✨Showcase Your Analytical Skills
Prepare examples that highlight your ability to manipulate and analyse data effectively. Think about specific projects where your analytical skills made a significant impact, especially in HR processes or workforce planning.
✨Understand the Business Context
Familiarise yourself with Arqiva’s business model and how data supports their strategic initiatives. Being able to connect your data analysis work to broader business objectives will show that you understand the bigger picture.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll likely need to collaborate with cross-functional teams, so being able to present technical information clearly is key. Prepare to discuss how you've trained others or shared insights in previous roles.