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- Tasks: Analyse vast datasets and create dashboards for key metrics.
- Company: Exciting deep-tech startup in Greater London with a focus on AI.
- Benefits: Hybrid work model, competitive salary, and opportunities for growth.
- Why this job: Join a passionate team and make an impact in AI-driven market insights.
- Qualifications: Experience in Python, statistical methods, and data warehousing tools.
- Other info: Perfect for those who love open source and want to innovate.
The predicted salary is between 36000 - 60000 £ per year.
A deep-tech startup based in Greater London is seeking a Mid-Level Data Analyst to analyze and transform vast datasets, prepare data for machine learning experiments, and build dashboards to represent key metrics.
The ideal candidate will have experience with:
- Statistical methods
- Python for data manipulation
- Familiarity with data warehousing tools such as Snowflake and BigQuery
Passion for open source is a plus. This role offers a hybrid working arrangement with 3 days in-office.
Hybrid Data Analyst — AI-Driven Market Insights employer: Workonomics
Contact Detail:
Workonomics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Analyst — AI-Driven Market Insights
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 data analysis projects, especially those involving Python and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on statistical methods and tools like Snowflake and BigQuery. Practice common data analyst interview questions and be ready to discuss how you've used these tools in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact. Plus, applying directly shows your enthusiasm for joining our team!
We think you need these skills to ace Hybrid Data Analyst — AI-Driven Market Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with statistical methods and Python. We want to see how you've used these skills in real-world scenarios, so don’t hold back on the details!
Showcase Your Projects: If you've worked on any data projects, especially those involving machine learning or dashboards, let us know! Include links or descriptions that demonstrate your hands-on experience.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you’re a great fit for the role and how your passion for open source aligns with our values.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Workonomics
✨Know Your Data Tools
Make sure you brush up on your knowledge of Python, Snowflake, and BigQuery. Be ready to discuss how you've used these tools in past projects, as well as any statistical methods you're familiar with. This will show that you’re not just a theoretical analyst but someone who can get hands-on with data.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data analysis and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help the interviewers see your analytical thinking in action.
✨Demonstrate Your Passion for Open Source
If you have experience with open-source projects or tools, be sure to mention them. Discuss how they’ve influenced your work and why you believe in the open-source community. This can set you apart from other candidates who may not share this passion.
✨Prepare Questions About the Role
Think of insightful questions to ask about the company’s approach to data analysis and machine learning. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
