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- Tasks: Enhance data quality and analytics for core products while collaborating with teams.
- Company: Leading data analytics firm in London with a positive culture.
- Benefits: Generous holidays, career development funds, and hybrid work options.
- Why this job: Join a dynamic team and make an impact in data analytics.
- Qualifications: Proficient in Python or R, SQL, and data analysis tools.
The predicted salary is between 36000 - 60000 £ per year.
A leading data analytics firm in London seeks a Data Analyst to enhance data quality and analytics for its core products. The role involves working collaboratively with Product Managers and Data Scientists while interacting closely with technology teams.
Candidates should be well-versed in Python or R, SQL, and data analysis tools.
The position supports remote work two to three days per week, fostering a positive company culture with numerous employee benefits, including generous holiday provisions and career development funds.
Data Analyst | Time Series & Data Quality (London, Hybrid) employer: FXC Intel
Contact Detail:
FXC Intel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst | Time Series & Data Quality (London, Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or attend industry meetups. A friendly chat can give us insights into the company culture and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using Python, R, or SQL. This will help us demonstrate our expertise and make a lasting impression during interviews.
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help us refine our answers and boost our confidence. Focus on how we can enhance data quality and analytics in the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how we fit the Data Analyst role perfectly.
We think you need these skills to ace Data Analyst | Time Series & Data Quality (London, Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, R, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Analyst position and how you can contribute to enhancing data quality at StudySmarter. Keep it engaging and personal.
Showcase Your Analytical Skills: In your application, include examples of how you've used data analysis tools in past roles. We love seeing real-world applications of your skills, so share any insights or outcomes that resulted from your work!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at FXC Intel
✨Know Your Data Tools
Make sure you're well-prepared to discuss your experience with Python, R, and SQL. Brush up on specific projects where you've used these tools to enhance data quality or analytics. Being able to share concrete examples will show your expertise and confidence.
✨Understand the Company Culture
Research the company’s values and culture before the interview. Since they emphasise a positive work environment and employee benefits, think about how your personal values align with theirs. This will help you demonstrate that you’re not just a fit for the role, but also for the team.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with Product Managers and Data Scientists, be ready to discuss how you’ve successfully collaborated in the past. Think of examples where teamwork led to improved data outcomes, as this will highlight your ability to work effectively in a hybrid setting.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company. Inquire about their current data challenges or how they measure success in data quality. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
