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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 office day 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: 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.
Senior Insight Analyst employer: Harnham - Data & Analytics Recruitment
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
Network with professionals in the industry, especially those who work in similar roles. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations for the Senior Insight Analyst position.
✨Tip Number 3
Prepare to showcase your experience with Python and SQL through practical examples. Be ready to discuss specific projects where you applied these skills, as this will highlight your hands-on experience and problem-solving abilities.
✨Tip Number 4
Research the company’s digital platform and understand its user base. Being knowledgeable about their services and how data analytics plays a role in enhancing user experience can set you apart during the interview process.
We think you need these skills to ace Senior Insight Analyst
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the key responsibilities and required skills for the Senior Insight Analyst position. Make sure you can demonstrate your experience in data analysis and data science.
Tailor Your CV: Customise your CV to highlight relevant experience with Python, SQL, and statistical analysis. Use specific examples of past projects that showcase your skills in customer analytics and data modelling.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role. Mention your enthusiasm for data science projects and how your skills align with the company's needs. Be sure to express your interest in working remotely while being available for in-person meetings once a month.
Proofread Your Application: Before submitting, thoroughly proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for an analyst 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 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 explain how you would approach a specific problem or case study related to these areas.
✨Demonstrate Analytical Thinking
Employ examples from your past experience to illustrate your analytical thinking process. Discuss how you approach data analysis, the tools you use, and how you derive insights that drive business decisions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the types of projects you might work on. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
