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- Tasks: Lead a team of Data Analysts to deliver unique consumer insights.
- Company: Join a top tech provider in the market research industry.
- Benefits: Enjoy a competitive salary, hybrid work, and flexible hours.
- Why this job: Leverage cutting-edge technology to make a real impact on consumer understanding.
- Qualifications: Experience in data analysis, Python, and conveying insights to non-technical stakeholders required.
- Other info: Apply now to be part of a forward-thinking organization!
The predicted salary is between 42000 - 98000 £ per year.
Lead Data Analyst
Up to £70,000 + Bonus
Manchester – Hybrid
A leading technology provider in the market research industry is seeking a skilled Lead Data Analyst to join their dynamic and highly regarded tech function. This is an exciting opportunity for those looking to leverage cutting-edge technology to gain deep insights into consumers\’ digital lives to radically improve.
As a a Lead Data Analyst, you will be leading a small team of Data Analysts to provide unique analysis to meet the news of both customer and internal requirements.
Essential Skills:
- Demonstrable experience in conveying data insights to non-technical stakeholders.
- Python (for reporting and data manipulation).
- Experience working with large volumes of data and complex datasets.
- Proficiency in data analysis and visualization tools, such as AWS QuickSight or similar.
Package on offer:
- Salary: Up to £70,000 + Bonus
- Hybrid working in modern Manchester office
- Flexible working to accommodate personal life
- Competitive Holiday allowance
If you\’re a Lead Data Analyst looking to join a forward thinking and unique organisation, don\’t hesitate to apply!
*Unfortunately, due to the high volume of applications, not all submissions will receive feedback.
Formula Recruitment | Lead Data Analyst employer: Formula Recruitment
Contact Detail:
Formula Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Formula Recruitment | Lead Data Analyst
✨Tip Number 1
Make sure to showcase your experience in conveying data insights to non-technical stakeholders during the interview. Prepare examples of how you've successfully communicated complex data findings in a way that was easily understood.
✨Tip Number 2
Brush up on your Python skills, especially in reporting and data manipulation. Be ready to discuss specific projects where you utilized Python to handle large datasets or automate processes.
✨Tip Number 3
Familiarize yourself with data visualization tools like AWS QuickSight. If you have experience with similar tools, be prepared to explain how you used them to create impactful visualizations that drove decision-making.
✨Tip Number 4
Research the company’s recent projects or initiatives in the market research industry. Being knowledgeable about their work will help you demonstrate your genuine interest and how you can contribute to their goals.
We think you need these skills to ace Formula Recruitment | Lead Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, Python, and any relevant tools like AWS QuickSight. Use specific examples to demonstrate how you've conveyed data insights to non-technical stakeholders.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your leadership experience and how you can contribute to the team. Be sure to align your skills with the job requirements outlined in the description.
Showcase Relevant Projects: If applicable, include links or descriptions of projects where you've successfully analyzed large datasets or led a team. This will help illustrate your capabilities and experience in a practical context.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Formula Recruitment
✨Showcase Your Communication Skills
As a Lead Data Analyst, you'll need to convey complex data insights to non-technical stakeholders. Prepare examples of how you've successfully communicated data findings in the past, focusing on clarity and impact.
✨Demonstrate Technical Proficiency
Be ready to discuss your experience with Python and any data analysis tools you've used, like AWS QuickSight. Consider preparing a brief case study or example where you utilized these skills to solve a problem or improve a process.
✨Highlight Team Leadership Experience
Since you'll be leading a small team, share your experiences in managing and mentoring others. Discuss how you foster collaboration and drive results within your team.
✨Prepare for Data-Driven Questions
Expect questions that assess your ability to work with large datasets. Brush up on your analytical thinking and be prepared to walk through your thought process when tackling data challenges.
