At a Glance
- Tasks: Analyse complex data to drive insights and support strategic decisions.
- Company: Join The Pensions Regulator, shaping the future of the pensions market.
- Benefits: Flexible working options, commitment to diversity, and a supportive environment.
- Other info: Great career growth opportunities in a dynamic and inclusive workplace.
- Why this job: Make a real impact on society through data-driven decision-making.
- Qualifications: Experience in data analysis and knowledge of Git and Agile methodologies.
The predicted salary is between 30000 - 40000 € per year.
The Pensions Regulator is seeking a Senior Data Analyst in the Strategy Policy directorate, responsible for extracting data from complex data warehouses. The role requires practitioner-level communication of complex analytics in a clear and accurate manner, translating this into business needs and explaining its relevance.
Key requirements include:
- Strong knowledge and prior application of the UK Code for Official Statistics.
- Implementation of robust standards and quality assurance procedures in analytics.
- Practitioner level knowledge of Git, AzureDevOps, and AGILE or Dev/DataOps workflow methodologies.
The Strategy, Policy, and Analysis directorate plays a pivotal role in shaping the future of the pensions market by developing a regulatory framework that enables market innovation. It brings together strategy, policy, economics, external risk, analysis, and user insights generated from our colleagues in Compliance, understanding the link between the work we do and its positive impact on society.
Applications are encouraged to be submitted as soon as possible, as the vacancy may close early if a high volume of applications are received. Current TPR employees wishing to apply should first contact their line manager to discuss their application. We welcome applications on a part-time and job share basis.
If shortlisted for interview, candidates will be contacted shortly after the closing date. While we aim to respond to every application, due to the large volume, this is not always possible. If you have not heard from us within 21 days of submitting your application, please assume you have been unsuccessful.
As a Disability Confident Employer, we are committed to the recruitment, employment, retention, and development of people with disabilities, and to improving their employment opportunities. Candidates who declare a disability and meet the essential criteria will be offered an interview.
TPR is committed to promoting diversity, inclusion, and equality in the workplace, creating an environment where everyone is encouraged to be themselves. We encourage applicants from all backgrounds and with different identities and experiences to apply for roles with TPR.
For further information about working at TPR, our culture, interview process, and commitment to our employees, please visit our website. For queries about this role or to request a reasonable adjustment during the recruitment process, email recruitmentteam@tpr.gov.uk.
Data Insight Analyst in Fife employer: The Pensions Regulator
The Pensions Regulator is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the Strategy, Policy, and Analysis directorate. Employees benefit from a commitment to diversity and inclusion, robust professional development opportunities, and the chance to make a meaningful impact on society through their work in shaping the pensions market. With a focus on employee well-being and support for those with disabilities, TPR ensures a positive and rewarding environment for all team members.
StudySmarter Expert Advice🤫
We think this is how you could land Data Insight Analyst in Fife
✨Tip Number 1
Get to know the company inside out! Before your interview, dive into The Pensions Regulator's mission and values. This will help you connect your skills as a Data Insight Analyst to their goals, showing them you're not just another candidate.
✨Tip Number 2
Practice makes perfect! Run through common interview questions related to data analytics and be ready to discuss your experience with Git, AzureDevOps, and AGILE methodologies. We want you to feel confident and prepared when it’s your turn to shine!
✨Tip Number 3
Showcase your communication skills! Be ready to explain complex data insights in a way that’s easy to understand. Think of examples where you've translated analytics into actionable business needs – this is key for the role!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re all about making the process smooth and straightforward for you.
We think you need these skills to ace Data Insight Analyst in Fife
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data analytics and the specific skills mentioned in the job description. We want to see how your background aligns with what we're looking for!
Showcase Your Communication Skills:Since the role involves translating complex analytics into business needs, be sure to demonstrate your ability to communicate clearly. Use examples from your past experiences where you’ve successfully conveyed complex information.
Highlight Relevant Tools and Methodologies:Mention your familiarity with Git, AzureDevOps, and AGILE or Dev/DataOps methodologies. We love seeing candidates who can hit the ground running, so don’t hold back on showcasing your technical skills!
Apply Early!:Don’t wait until the last minute to submit your application. We might close the vacancy early if we get a lot of applications, so get yours in through our website as soon as you can to avoid disappointment!
How to prepare for a job interview at The Pensions Regulator
✨Know Your Data Inside Out
As a Data Insight Analyst, you’ll need to demonstrate your understanding of complex data warehouses. Brush up on your knowledge of the UK Code for Official Statistics and be ready to discuss how you've applied robust standards in your previous roles.
✨Communicate Clearly
Practitioner-level communication is key! Prepare to explain complex analytics in a straightforward manner. Think about examples where you've successfully translated data insights into business needs and how that made an impact.
✨Familiarise Yourself with Tools
Make sure you're comfortable with Git, AzureDevOps, and AGILE methodologies. Be prepared to discuss how you've used these tools in past projects and how they can enhance your work as a Data Insight Analyst.
✨Show Your Passion for Impact
The role is all about shaping the future of the pensions market. Be ready to share your thoughts on how data analysis can drive positive societal change. This will show your alignment with the organisation's mission and values.
