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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: Make an impact on data quality and work with innovative technology.
- Qualifications: Proficient in Python or R, SQL, and data analysis tools.
- Other info: Enjoy a supportive environment with great career growth opportunities.
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 on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python, R, or SQL. This gives us a chance to demonstrate our expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on common data analysis scenarios and case studies. We want to be ready to discuss how we can enhance data quality and analytics for their core products.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in joining the team.
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 our firm. 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 interesting insights or outcomes 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!
How to prepare for a job interview at FXC Intel
✨Know Your Data Tools
Make sure you brush up on your skills in Python or R and SQL. Be ready to discuss specific projects where you've used these tools to enhance data quality or perform analysis. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Understand the Company’s Products
Do some homework on the company’s core products and how they use data analytics. Being able to speak about how your role as a Data Analyst can directly impact their offerings will demonstrate your genuine interest and understanding of their business.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with Product Managers and Data Scientists, think of examples from your past experiences where you successfully collaborated with cross-functional teams. Highlighting your teamwork skills will be crucial in showing you fit into their positive company culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data quality and analytics. This not only shows your enthusiasm for the role but also gives you a chance to assess if the company aligns with your career goals, especially regarding development opportunities.
