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- Tasks: Manage and analyse data crucial for pension schemes in a collaborative environment.
- Company: Join Quantum Advisory, a leading consultancy with a focus on high-quality financial services.
- Benefits: Enjoy flexible hours, remote work, training plans, and a generous holiday scheme.
- Why this job: Kickstart your career in data management while making a real impact in the financial sector.
- Qualifications: Strong numerical skills, Excel proficiency, and a passion for data are essential.
- Other info: Be part of a diverse team dedicated to delivering exceptional consultancy services.
Quantum Advisory have an exciting opportunity for an Assistant Data Analyst to join the team.
Salary: £24,600 - £30,000 per annum depending on experience
Location: Cardiff, CF3 0LW, Hybrid working
Job Type: Full Time, Permanent
About Us: At Quantum Advisory, we’re committed to delivering high-quality services while ensuring value for our clients. With offices in Amersham, Birmingham, Cardiff, and London, our team consists of Partners who have previously led actuarial and pension consulting teams at major firms. By investing in talented individuals, robust systems, and fostering proactive solution-based thinking, we aim to provide a premium service to our clients. Work for us and you will become part of a close-knit team that is skilled, experienced and passionate about delivering a high-quality consultancy service to our corporate and trustee clients.
Assistant Data Analyst – The Role: Working within the financial services industry you will be managing the data that is pivotal to the successful running of pension schemes. You would be working with teams from across the business, in particular the actuarial and administration teams. As part of the data services team, you will be involved with the management and application of the administration database to assist all aspects of the business. The role would be suitable for someone looking to start a career with a focus on data quality and data management, or someone looking to develop their skills from a pensions administration background.
Assistant Data Analyst – Key Responsibilities:
- Onboarding new clients
- Formatting and loading bulk data sets to the administrative database
- Performing ongoing maintenance and quality testing on the data in line with statutory requirements
- Updating and maintaining automated calculation and documentation libraries ensuring seamless transition of relevant data from the administration database
- Producing both standard and ad hoc data extracts, reports, and statistics for use within data related projects throughout the business
Assistant Data Analyst – You:
- The ideal candidate will have a strong numerical background and be confident working with large data sets
- You will have excellent excel skills
- A knowledge of defined benefit pensions and SQL would be an advantage
- You will enjoy working in a process driven environment where logical thinking and attention to detail are key skills
Assistant Data Analyst – Benefits:
- Flexible working hours, including some remote working
- Structured study and training plan
- Discretionary annual bonus
- 24 days standard annual leave with a holiday purchase/sale scheme
- Pension scheme with employer matching contributions up to 5% of salary
- Volunteering leave
- Cycle to work scheme
- Seasonal parties and social events
Quantum Advisory is an equal opportunities employer and committed to diversity and inclusion.
If you are interested in applying for this Assistant Data Analyst role, please click ‘Apply’ now.
Assistant Data Analyst employer: Quantum Advisory
Contact Detail:
Quantum Advisory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assistant Data Analyst
✨Tip Number 1
Familiarise yourself with the financial services industry, particularly in pensions. Understanding the basics of defined benefit pensions will give you an edge during interviews and show your genuine interest in the role.
✨Tip Number 2
Brush up on your Excel skills, as they are crucial for this position. Consider taking online courses or tutorials to enhance your proficiency, especially in data manipulation and analysis.
✨Tip Number 3
Network with professionals in the data analysis and financial services sectors. Attend relevant events or join online forums to connect with others who can provide insights or even referrals to Quantum Advisory.
✨Tip Number 4
Prepare to discuss your experience with large data sets and any relevant projects you've worked on. Be ready to demonstrate your logical thinking and attention to detail, as these are key skills for the role.
We think you need these skills to ace Assistant Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of the Assistant Data Analyst position. Familiarise yourself with the key tasks such as data management, quality testing, and client onboarding.
Tailor Your CV: Customise your CV to highlight relevant skills and experiences that align with the job description. Emphasise your numerical background, Excel proficiency, and any experience with data sets or pensions administration.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention why you are interested in Quantum Advisory and how your skills can contribute to their team.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise.
How to prepare for a job interview at Quantum Advisory
✨Showcase Your Numerical Skills
As the role requires a strong numerical background, be prepared to discuss your experience with data analysis and handling large datasets. Bring examples of how you've used numbers to solve problems or improve processes in previous roles.
✨Demonstrate Excel Proficiency
Since excellent Excel skills are essential for this position, be ready to talk about specific functions or tools you’ve used in Excel. If possible, mention any complex spreadsheets or data models you've created.
✨Understand the Pensions Landscape
Having knowledge of defined benefit pensions will give you an edge. Brush up on key concepts and be prepared to discuss how they relate to data management. This shows your interest in the industry and the role.
✨Emphasise Attention to Detail
In a process-driven environment, attention to detail is crucial. Share examples from your past experiences where your meticulous nature helped prevent errors or improved data quality. This will highlight your suitability for the role.
