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: Enjoy competitive pay, flexible benefits, and opportunities for personal development.
- Other info: Work in a supportive environment with excellent career growth opportunities.
- Why this job: Make a real impact by transforming data into actionable insights that matter.
- Qualifications: Proven SQL skills and experience with data visualisation tools like Tableau.
The predicted salary is between 30000 - 40000 € 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 in Newcastle upon Tyne employer: RBC
Join a forward-thinking team in the heart of Saint Helier, where your passion for data analytics will drive meaningful change in wealth management. With a strong focus on employee development, you'll benefit from a comprehensive rewards programme, flexible benefits, and the opportunity to collaborate with talented professionals in a dynamic and supportive work culture. Embrace the chance to grow your skills in cutting-edge tools while making a lasting impact on the business.
StudySmarter Expert Advice🤫
We think this is how you could land Associate, Data Analytics in Newcastle upon Tyne
✨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 in Newcastle upon Tyne
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 the impact of your solutions on business outcomes.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better. Plus, it shows you're keen on joining our team!
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 ready 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 Dashboard Creations
Prepare to talk about your experience with Tableau or similar data visualisation tools. Bring examples of dashboards you've created, and be ready to explain how they helped inform business decisions. This will demonstrate your ability to turn complex data into actionable insights.
✨Emphasise Collaboration and Agile Experience
Since this role involves working in cross-functional Agile teams, be prepared to share examples of how you've collaborated with others in past projects. Highlight any Agile methodologies you've used and how they contributed to successful outcomes.
✨Demonstrate Your Problem-Solving Mindset
Think of specific instances where you've tackled challenges in data analysis. Be ready to discuss your approach to problem-solving and how you communicate findings to different stakeholders. This will show that you not only have the technical skills but also the ability to bridge data with business outcomes.
