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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: This role offers a competitive salary of up to £75,000.
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.
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 well-versed in current methodologies, especially in forecasting models and A/B testing, will show that you're proactive and knowledgeable about the field.
✨Tip Number 2
Network with professionals in the data analytics community. Engaging with others in the industry can provide insights into what companies like ours are looking for and may even lead to referrals or recommendations.
✨Tip Number 3
Showcase your practical experience with Python and SQL through personal projects or contributions to open-source initiatives. This hands-on experience can set you apart from other candidates and demonstrate your ability to apply your skills effectively.
✨Tip Number 4
Prepare for potential technical interviews by brushing up on statistical analysis techniques and modelling. Being able to discuss your thought process and problem-solving approach will be crucial in demonstrating your fit for the role.
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, such as customer analytics and data science projects, to tailor your application accordingly.
Highlight Relevant Skills: Make sure to emphasise your experience with Python, SQL, and statistical analysis in your CV and cover letter. Provide specific examples of how you've used these skills in previous roles or projects.
Showcase Data Science Projects: If you have experience with forecasting models, A/B testing, or any other data science projects, be sure to include these in your application. Detail your role in these projects and the impact they had on your previous employers.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company. Mention why you are interested in working with their digital platform and how you can contribute to their success.
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 Discussions
Since the role involves data science projects, brush up on your knowledge of forecasting models and A/B testing. Be ready to explain your approach to these methodologies and any relevant experiences you have.
✨Demonstrate Analytical Thinking
Employ examples from your past work to illustrate your analytical thinking process. Discuss how you've tackled complex data problems and the impact of your insights on business decisions.
✨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 assess if it's the right fit for you.
