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- Tasks: Curate and analyse financial data, collaborating with traders for insights and visualisations.
- Company: Dynamic technology consultancy in the finance sector with a vibrant team culture.
- Benefits: Competitive salary up to £80k, bonus, healthcare, generous holiday, and career development.
- Other info: Modern Newcastle office with great views, social events, and flexible working hours.
- Why this job: Join a fast-growing company 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 70000 - 80000 £ 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 0900-1800 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
- Bupa healthcare
- Generous pension contribution
- 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
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Data Analyst - Finance
✨Network Like a Pro
Get out there and connect with people in the finance and data analysis sectors. Attend meetups, webinars, or even local events in Newcastle. You never know who might have a lead on that perfect Investment Data Analyst role!
✨Show Off Your Skills
Create a portfolio showcasing your SQL and Python projects. Whether it's a personal project or something from your studies, having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Ace the Interview
Prepare for common interview questions related to data analysis and financial markets. Practice explaining your thought process when solving problems, as this will demonstrate your analytical skills and understanding of the industry.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to reach out directly.
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 can leverage these tools to tackle data challenges in the finance sector.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect your interest in financial markets and any relevant projects you've worked on. This helps us see your passion and fit for the role.
Be Clear and Concise: When writing your application, keep it clear and concise. We appreciate straightforward communication, so make sure your points are easy to understand and directly related to the job.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at Client Server
✨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 tied to financial markets, do your homework! Familiarise yourself with current trends, key players, and recent news in finance. 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.