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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, 25 days holiday, and Bupa healthcare.
- Other info: Flexible working hours, social events, and excellent career development opportunities.
- Why this job: Join a fast-growing company and make an impact in the finance industry with your data skills.
- Qualifications: First-class STEM degree, advanced SQL and Python skills, and a passion for financial markets.
The predicted salary is between 80000 - 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 in North East employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Data Analyst - Finance in North East
✨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 the inside scoop on job openings or can refer you directly!
✨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. Don’t forget to share it during interviews!
✨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 show your analytical skills. Remember, confidence is key!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Investment Data Analyst - Finance in North East
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Investment Data Analyst role. Highlight your SQL and Python skills, and any relevant experience in financial markets. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis in finance and how your skills can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any personal projects or have commercial experience related to data analysis, make sure to mention them. We’re keen to see how you’ve applied your skills in real-world scenarios, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Client Server
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools and techniques mentioned in the job description, especially SQL and Python. Brush up on your knowledge of financial markets and be ready to discuss how you've used data to derive insights or solve problems in past projects.
✨Showcase Your Communication Skills
As an Investment Data Analyst, you'll need to collaborate with traders and quants. Prepare examples of how you've effectively communicated complex data findings to non-technical stakeholders. This will demonstrate your ability to bridge the gap between data and decision-making.
✨Prepare for Technical Questions
Expect technical questions that test your SQL and Python skills. Practice coding challenges or data manipulation tasks beforehand. Being able to think aloud while solving these problems can also showcase your analytical process to the interviewers.
✨Understand the Company Culture
Research the company’s values and work environment. Be ready to discuss how you fit into their diverse and social team atmosphere. Mention any relevant experiences that highlight your adaptability and teamwork, especially in a fast-paced setting like finance.