At a Glance
- Tasks: Unlock data's potential and drive strategic impact through analytics and visualisation.
- Company: Join a dynamic wealth management team focused on innovation and collaboration.
- Benefits: Competitive salary, bonuses, flexible benefits, and strong development support.
- Other info: Work in a collaborative Agile environment with excellent career growth opportunities.
- Why this job: Make a real impact with data while growing your skills in cutting-edge tools.
- Qualifications: Proven SQL skills, experience with Tableau, and a problem-solver's mindset.
The predicted salary is between 35000 - 45000 € per year.
We are seeking a Data Analyst to unlock data's potential and drive strategic impact across the business. You'll work with legacy and modern platforms (including Databricks), craft powerful SQL queries, build intuitive Tableau dashboards, and collaborate across teams using an Agile approach. If you're passionate about bridging data with business outcomes, this role is for you.
What will you do?
- Unleash Data's Potential: Query legacy and modern platforms using T‑SQL and SQL to reveal insights that inform portfolio, product and distribution decisions.
- Build Engaging Dashboards: Create self‑service Tableau dashboards that translate complex requirements into accessible, actionable visualisations.
- Drive Innovation: Enhance analytics infrastructure, recommend new data sources, and structure datasets to fuel strategic decision‑making.
- Champion Efficiency: Identify manual processes, spot automation opportunities, and reduce operational risks.
- Own Quality & Governance: Ensure data accuracy, maintain documentation, and uphold compliance with internal controls, devops and regulatory requirements.
- Collaborate & Mentor: Work in cross‑functional Agile squads, share expertise through peer reviews, and mentor junior team members.
What you need to succeed?
Must-Have:
- Proven SQL skills (MS SQL Server or similar) and hands‑on database experience.
- Experience with data visualisation tools (Tableau or equivalents).
- Ability to wrangle large datasets into clear, compelling stories.
- Problem‑solver's mindset with strong communication skills across all levels.
- Proven and recent experience in data analysis, ideally in wealth management or financial services.
Nice-to-Have:
- Cloud database or AI tooling experience (Python).
- Agile methodology familiarity.
- Degree in Finance, Economics, Mathematics, Statistics, Computer Science or equivalent.
- A passion for wealth management or financial services.
What is in it for you?
- A comprehensive Total Rewards Program including bonuses, flexible benefits and competitive compensation.
- Leaders who support your development through coaching and managing opportunities.
- Ability to make a difference and lasting impact.
- Work in a dynamic, collaborative, progressive, and high‑performing team.
Location: GASPÉ HOUSE, 66-72 ESPLANADE:SAINT HELIER, Saint Helier, Jersey.
Work hours/week: 36.25. Employment Type: Full time. Platform: WEALTH MANAGEMENT. Job Type: Regular. Pay Type: Salaried.
Associate, Data Analytics employer: RBC
Join a forward-thinking team in the heart of Saint Helier, Jersey, where your passion for data analytics will drive meaningful change in wealth management. With a strong focus on employee development, our collaborative work culture fosters innovation and efficiency, allowing you to grow your skills with cutting-edge tools while making a lasting impact. Enjoy a comprehensive rewards programme, flexible benefits, and the opportunity to work alongside passionate professionals dedicated to unlocking data's potential.
StudySmarter Expert Advice🤫
We think this is how you could land Associate, Data Analytics
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries and Tableau dashboards. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data analytics questions. Be ready to discuss your problem-solving approach and how you've used data to drive business outcomes in past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Associate, Data Analytics
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your SQL prowess in your application. We want to see how you've used T-SQL or similar to extract insights from data. Share specific examples of projects where your queries made a real difference!
Visualisation is Key:If you've created Tableau dashboards or used other visualisation tools, let us know! We love seeing how you can turn complex data into engaging visuals that tell a story. Include links to your work if possible!
Be a Problem Solver:We’re looking for a problem-solver's mindset, so don’t shy away from sharing challenges you've faced in data analysis. Describe how you approached these issues and what the outcomes were. It shows us your analytical thinking!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at RBC
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with T-SQL and how you've used it to extract insights from data. Practising some common SQL queries can help you feel more confident when discussing your technical abilities.
✨Showcase Your Data Visualisation Experience
Since you'll be working with Tableau, it's crucial to have a few examples of dashboards you've created. Bring along screenshots or even a portfolio if possible. Talk about the challenges you faced and how you turned complex data into engaging visual stories that drove business decisions.
✨Understand the Business Context
Familiarise yourself with the wealth management sector and the specific challenges it faces. This will help you connect your data analysis skills to real-world business outcomes. Being able to discuss how your work can impact portfolio and product decisions will set you apart from other candidates.
✨Emphasise Collaboration and Mentorship
This role involves working in Agile teams and mentoring junior members. Be ready to share examples of how you've collaborated with others in past projects. Highlight any experiences where you've helped others grow or improved team efficiency, as this shows you're a team player who values knowledge sharing.
