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For Companies At a Glance
- Tasks: Dive into analytics and data science, delivering insights to tackle real business challenges.
- Company: Join a dynamic team in London, working on diverse projects that shape brand strategies.
- Benefits: Enjoy a hybrid work model with a competitive salary and opportunities for skill development.
- Why this job: Perfect for curious minds eager to learn and make an impact in the analytics field.
- Qualifications: Bring your curiosity, attention to detail, and basic statistical knowledge to the table.
- Other info: Familiarity with R or Python is a plus; experience with survey data is nice to have.
The predicted salary is between 25000 - 35000 £ per year.
Junior Statistical Analyst
Location: London (Hybrid)
Salary: £30,000 – £40,000 per annum
About the Role
As a Junior Data Scientist, you will:
- Develop your skills in analytics and data science techniques.
- Assist in delivering insights that solve clients' business challenges.
- Learn to communicate complex analytical concepts to non-technical audiences.
- Work closely with teams across the business to provide high-quality insights.
- Gain exposure to a variety of projects, including brand strategy, product development, and corporate reputation.
What You’ll Need
Must-haves:
- Curiosity and eagerness to learn new topics and methods quickly.
- Strong attention to detail and high standards for deliverables.
- Basic statistical knowledge (e.g., hypothesis testing, regression, clustering).
- Familiarity with at least one statistical programming language (R or Python).
- Excellent communication skills, with the ability to explain concepts clearly.
Nice-to-haves:
- Experience with survey data or familiarity with tools like SPSS.
- Proficiency in tidyverse packages in R or Excel VBA programming.
- Interest in current affairs, operational analytics, or financial analytics.
Statistical Analyst employer: ENI – Elizabeth Norman International
Contact Detail:
ENI – Elizabeth Norman International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistical Analyst
✨Tip Number 1
Make sure to showcase your curiosity and eagerness to learn during the interview. Share examples of how you've quickly picked up new skills or tackled unfamiliar topics in the past.
✨Tip Number 2
Prepare to discuss your experience with statistical programming languages like R or Python. Be ready to explain how you've used these tools in previous projects or coursework.
✨Tip Number 3
Highlight any experience you have with survey data or tools like SPSS. If you don't have direct experience, consider discussing related coursework or personal projects that demonstrate your analytical skills.
✨Tip Number 4
Practice explaining complex analytical concepts in simple terms. This will help you demonstrate your excellent communication skills and your ability to connect with non-technical audiences.
We think you need these skills to ace Statistical Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Junior Statistical Analyst position. Understand the key responsibilities and required skills, as this will help you tailor your application.
Highlight Relevant Skills: In your CV and cover letter, emphasize your curiosity, attention to detail, and any experience with statistical programming languages like R or Python. Mention specific projects or coursework that demonstrate your analytical skills.
Communicate Clearly: Since excellent communication skills are a must-have, ensure that your application clearly explains your experiences and how they relate to the role. Use simple language to describe complex concepts you've worked on.
Tailor Your Application: Customize your CV and cover letter for this specific position. Reference the company's focus areas, such as brand strategy and product development, and explain how your background aligns with their needs.
How to prepare for a job interview at ENI – Elizabeth Norman International
✨Show Your Curiosity
Demonstrate your eagerness to learn by asking insightful questions about the role and the projects you'll be involved in. This shows that you're not just interested in the job, but also in growing your skills and knowledge.
✨Highlight Your Attention to Detail
Prepare examples from your past experiences where your attention to detail made a difference. Whether it's a project you worked on or an analysis you conducted, showcasing this skill is crucial for a statistical analyst.
✨Communicate Clearly
Practice explaining complex statistical concepts in simple terms. During the interview, you may need to demonstrate your ability to communicate effectively with non-technical audiences, so be ready to simplify your explanations.
✨Familiarize Yourself with Relevant Tools
If you have experience with R, Python, or tools like SPSS, be prepared to discuss specific projects where you used these tools. Highlighting your technical skills will show that you're ready to contribute from day one.
