At a Glance
- Tasks: Curate and analyse financial data, collaborating with traders for insights and visualisations.
- Company: Dynamic tech consultancy in finance, located in vibrant Newcastle.
- Benefits: Competitive salary, bonus, 25 days holiday, and flexible working hours.
- Other info: Enjoy a social atmosphere with events and support for career development.
- Why this job: Join a diverse team and make an impact in the financial markets with your data skills.
- Qualifications: First-class STEM degree, advanced SQL and Python skills, and a passion for finance.
The predicted salary is between 65000 - 80000 £ per year.
Newcastle upon Tyne, Tyne and Wear | £65k - £80k per year
Are you a bright, ambitious Data Analyst with a strong interest in financial markets combined with a first class education? You could be joining a scaling Technology Consultancy within the finance division.
As an Investment Data Analyst you'll understand, manage and curate raw data content from various data vendors and the broader finance industry, collaborating with traders and quants on investment desks to provide data insights, analysis and visualisations. You'll help to identify and address data needs and gaps, evaluate data quality to ensure consistency, completeness, and accuracy across all platforms and develop and maintain data dictionaries and other documentation, collaborating with Data Engineers and Technology teams to implement and enhance data systems and processes.
Location: You'll join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours with some flexibility. The offices are well equipped and offer fantastic views across the City and the local countryside, many employees walk or cycle in (onsite showers available!), there's a diverse, social team atmosphere with many employees having recently relocated and lots of support available.
About you:
- You have achieved a first class degree in a STEM discipline from a world 100 top ranked / Russel Group university, backed by A*s and As at A-level
- You have a strong interest and understanding of financial markets, ideally with commercial experience or demonstrated by personal projects
- You have advanced SQL and Python skills
- You're familiar with Data Science and / or Machine Learning tools and techniques
- You have excellent communication skills
What's in it for you:
- As an Investment Data Analyst you will earn a competitive package:
- Salary (to £80k, negotiable)
- Bonus
- 25 days holiday
- Continuous learning and career development opportunities
- Social team atmosphere with a range of events and early finish for drinks on Fridays
Apply now to find out more about this Investment Data Analyst (SQL Python) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Investment Data Analyst - Finance employer: Client Server Ltd.
Join a dynamic Technology Consultancy in the heart of Newcastle upon Tyne, where you'll thrive in a vibrant and supportive work culture that values diversity and continuous learning. With competitive salaries, generous holiday allowances, and opportunities for career development, this role as an Investment Data Analyst offers not just a job, but a pathway to meaningful growth in the financial sector. Enjoy modern offices with stunning views, flexible working hours, and a social atmosphere that encourages collaboration and connection among colleagues.
StudySmarter Expert Advice🤫
We think this is how you could land Investment Data Analyst - Finance
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data analysis sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially those related to financial markets. This will not only demonstrate your technical abilities but also your passion for the industry. Make sure to share it during interviews!
✨Tip Number 3
Prepare for the interview by brushing up on common data analysis scenarios in finance. Think about how you would approach real-world problems and be ready to discuss your thought process. Practising with mock interviews can really help us nail that confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged. So, get your application in and let’s get you one step closer to that dream job!
We think you need these skills to ace Investment Data Analyst - Finance
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your advanced SQL and Python skills in your application. We want to see how you've used these tools in real-world scenarios, so don’t hold back on sharing your experiences!
Connect with Financial Markets:Since this role is all about investment data, let us know about your interest in financial markets. Whether it's through personal projects or previous work experience, show us how you’ve engaged with the finance world.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with StudySmarter.
How to prepare for a job interview at Client Server Ltd.
✨Know Your Data Inside Out
As an Investment Data Analyst, you'll be dealing with a lot of data. Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss how you've used these tools in past projects or experiences, and think about specific examples where you've improved data quality or provided insights.
✨Understand Financial Markets
Since this role is heavily focused on financial markets, do your homework! Familiarise yourself with current trends, key players, and any recent news that could impact the industry. This will not only show your interest but also help you engage in meaningful conversations during the interview.
✨Prepare for Technical Questions
Expect some technical questions related to data analysis, SQL queries, and Python coding. Practice common interview questions and even consider doing mock interviews with friends or colleagues. Being able to demonstrate your problem-solving skills on the spot can really set you apart.
✨Showcase Your Communication Skills
Excellent communication is key in this role, especially when collaborating with traders and quants. Think about how you can convey complex data insights in a simple way. During the interview, practice explaining your past projects clearly and concisely, highlighting how you worked with others to achieve results.
