At a Glance
- Tasks: Analyse data and support investment decisions for exciting startups.
- Company: Dynamic venture capital firm in London backing innovative entrepreneurs.
- Benefits: Competitive salary, collaborative team, and opportunities for professional growth.
- Other info: Proactive environment with a focus on innovation and teamwork.
- Why this job: Join a small team and make a real impact on the future of technology.
- Qualifications: 5-7 years of data experience, strong Excel skills, and a passion for startups.
The predicted salary is between 60000 - 80000 £ per year.
Our Client is a Venture Capital firm based in London. We invest in early-stage businesses with strong growth potential and have been lucky enough to back some amazing entrepreneurs. They are looking for someone who loves data, and data software, to help maintain and develop its data and reporting efforts – must have at least 5 to 7 years proven track record of working with Data and Excel. This is a unique opportunity with a leading Venture Capital Fund to use your technical and organisational skills to support some of the leading European technology companies.
Responsibilities
- Reporting: Investor Statements
- Monitoring valuations for early stage, private businesses
- Creating processes to ensure data is up to date, complete and accurate
- Investment data collection: Building and maintaining connections between data sets, including financials, notes, PDFs and excel data sets
- Keeping internal investment and co-investment data up to date
- Supporting the investment team with answering data requests
- Developing new solutions for data capture and management
- Helping analyse new investment opportunities with data provided in market research and data rooms
The Company are a small team, so are looking for someone that is proactive and willing to roll up their sleeves and get stuck in.
Qualifications
- Is passionate about start ups
- Has a strong grasp of data sources
- Has a good eye for detail
- Has strong numeric ability and enjoys reconciliations
- Has a strong work ethic and enjoys multi-tasking
- Is experienced in designing internal process and reports
- Is experienced in implementing and maintaining data systems
- Has strong communication skills, with the ability to extract, structure and share data for internal reporting and queries
- Is personable and energetic
- Takes pride in their work and enjoys seeing tasks through to completion
- Can work independently as well as part of a team
- Is good at meeting deadlines and prioritising work
- Has experience in online data capture platforms such as Airtable
- Has experience in building macros in excel would be an ideal
The Company is based in Central London. The salary for this role will be in the range £60K - £80K.
Do send your CV to us in Word format along with your salary and availability.
Senior Data Analyst in London employer: Onyx-Conseil
As a leading Venture Capital firm in Central London, we pride ourselves on fostering a dynamic and collaborative work environment where innovation thrives. Our small, dedicated team offers a unique opportunity for growth, allowing you to make a significant impact while working closely with some of Europe's most promising technology companies. With a strong focus on employee development and a culture that values proactivity and teamwork, we are committed to supporting your career journey in the exciting world of start-ups.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Onyx-Conseil!
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Onyx-Conseil.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at Onyx-Conseil, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Onyx-Conseil, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Onyx-Conseil. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Onyx-Conseil
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Onyx-Conseil!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.