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For Companies At a Glance
- Tasks: Analyse customer data and develop forecasting models while conducting advanced A/B testing.
- Company: Join a global digital platform that connects users worldwide.
- Benefits: Enjoy remote work flexibility with just one day in Nottingham per month.
- Why this job: Be part of innovative projects that blend data analysis and science, making a real impact.
- Qualifications: Proficiency in Python, SQL, and statistical analysis is essential.
- Other info: Competitive salary up to £75,000 for the right candidate.
The predicted salary is between 60000 - 84000 £ per year.
Up to £75,000
Remote - Nottingham (1x day per month)
THE COMPANY
Our client provides a digital platform to users worldwide.
THE ROLE
This role is primarily a Data Analyst position with components of Data Science. While much of your time will focus on traditional customer analytics, you will also be expected to undertake Data Science projects, including forecasting models, rapid feedback cycles, and advanced A/B testing.
YOUR SKILLS AND EXPERIENCE
- Python
- SQL
- Experience using statistical analysis
- Modelling experience
APPLY: Register your interest by sending an email or applying below.
Senior Insight Analyst employer: Click To Hired
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Insight Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics and data science. Being able to discuss recent advancements or tools during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 2
Prepare to showcase your experience with Python and SQL through practical examples. Think of specific projects where you used these skills effectively, as this will help you stand out during discussions.
✨Tip Number 3
Brush up on your statistical analysis knowledge. Be ready to explain how you've applied statistical methods in past roles, especially in customer analytics or A/B testing scenarios.
✨Tip Number 4
Network with professionals in the data analytics community. Engaging with others in the field can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Senior Insight Analyst
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Senior Insight Analyst position. Familiarise yourself with the key responsibilities and required skills, such as Python, SQL, and statistical analysis.
Tailor Your CV: Customise your CV to highlight relevant experience in data analysis and data science. Emphasise any projects involving forecasting models or A/B testing, as these are crucial for this role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your understanding of the company's digital platform. Mention specific examples of how your skills align with the job requirements.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects attention to detail, which is essential for an analyst role.
How to prepare for a job interview at Click To Hired
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Be prepared to discuss specific projects where you've used these skills, especially in customer analytics or data science.
✨Prepare for Data Science Scenarios
Since the role involves data science projects, brush up on your knowledge of forecasting models and A/B testing. You might be asked to solve a problem or provide insights based on hypothetical data scenarios.
✨Demonstrate Analytical Thinking
Employ examples from your past experience that showcase your analytical thinking and problem-solving abilities. Discuss how you approached complex data challenges and the impact of your solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how they utilise insights to drive decisions. This shows your genuine interest in the role and helps you understand their expectations better.
