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For Companies At a Glance
- Tasks: Analyse customer data and develop forecasting models to drive insights.
- Company: Join a global digital platform that empowers 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 for impactful results.
- 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.
Contact Detail:
Harnham - Data & Analytics Recruitment 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 knowledge of statistical analysis and modelling techniques. Be ready to explain how you've applied these methods in past roles, as this is crucial for the Senior Insight Analyst position.
✨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 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis and data science. Emphasise your skills in Python, SQL, and statistical analysis, as these are crucial for the Senior Insight Analyst 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 projects or experiences that demonstrate your ability to handle customer analytics and data science tasks.
Showcase Your Technical Skills: In your application, provide examples of how you've used Python and SQL in previous roles. If you have experience with forecasting models or A/B testing, be sure to include those details to strengthen your application.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is essential for a data-focused role.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨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 approach problem-solving and decision-making using data, as this will be crucial for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the specific challenges they face. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
