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- Tasks: Analyze data, identify trends, and provide insights to shape our tech strategies.
- Company: Join Aisles UK, a global leader in AI-driven automation and security solutions.
- Benefits: Enjoy flexible work options and the potential for a full-time role after the internship.
- Why this job: Gain hands-on experience with cutting-edge analytics and collaborate with industry experts.
- Qualifications: Pursuing or completed a degree in Data Science, Business Analytics, or related fields.
- Other info: This is a paid internship with a trial period of 1-3 months.
Analytics Internship – Aisles UK
Location: Remote & On-Site (Depending on Role) – UK Based
Internship Type: Paid Internship (Upon Evaluation)
Trial Period: 1-3 Months (Based on Position)
About Aisles UK:
Aisles UK is a branch of Aisles, a global AI-driven company specializing in automation, security, and AI-powered solutions. As we expand in the UK, we seek innovative thinkers who can analyze data, detect emerging trends, and provide insights that shape our technology and business strategies.
Internship Overview:
We are looking for an Analytics Intern with a keen eye for identifying viral trends, understanding digital behavior, and interpreting data that drives engagement. This internship offers hands-on experience in data analysis, market research, and business intelligence. Interns will work on real projects, providing insights that help optimize Aisles\’ AI ecosystem and decision-making processes.
Evaluation & Compensation:
The internship begins with a trial period of 1-3 months, depending on the position. During this time, interns will be evaluated based on their ability to analyze trends, deliver data-driven insights, and contribute effectively to Aisles UK. Successful interns may transition into a paid position upon completion of the evaluation.
Responsibilities:
Analyze large datasets to identify trends, patterns, and viral market movements.
Monitor and predict emerging technology, AI, and digital trends that impact Aisles.
Conduct competitive analysis to assess Aisles\’ market positioning.
Work with AI-driven analytics tools to refine predictive models and user behavior insights.
Develop dashboards and reports to visualize key findings.
Collaborate with marketing and product teams to enhance data-driven decision-making.
Requirements:
Based in the UK.
Currently pursuing or recently completed a degree in Data Science, Business Analytics, Statistics, Marketing, or a related field.
Strong understanding of digital trends, social media analytics, and viral content detection.
Experience with data analysis tools such as SQL, Python, R, or Excel.
Familiarity with visualization tools like Tableau, Power BI, or Google Analytics.
Ability to work independently and collaboratively in a fast-paced environment.
Previous experience in technology or AI-related data analysis is a strong plus.
Why Join Aisles UK?
Work with a team of AI and data experts on cutting-edge analytics projects.
Gain hands-on experience in trend analysis and data-driven decision-making.
Flexible work environment with remote and on-site opportunities.
Potential for a full-time role based on performance.
If you’re passionate about analyzing trends, predicting what’s next in tech, and working with AI-driven data, apply now for the Analytics Internship at Aisles UK!
analytic internship employer: Aisles
Contact Detail:
Aisles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land analytic internship
✨Tip Number 1
Familiarize yourself with the latest trends in AI and data analytics. Follow industry leaders on social media, read relevant blogs, and engage in online communities to stay updated. This knowledge will help you stand out during interviews.
✨Tip Number 2
Practice using data analysis tools like SQL, Python, or R before your interview. Being able to demonstrate your skills in these areas can give you a significant edge over other candidates.
✨Tip Number 3
Prepare to discuss specific projects or experiences where you've analyzed data or identified trends. Having concrete examples ready will show your practical understanding of the role and your ability to contribute.
✨Tip Number 4
Network with current or former interns at Aisles UK through LinkedIn or other platforms. They can provide valuable insights into the company culture and the internship experience, which can help you tailor your approach.
We think you need these skills to ace analytic internship
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Analytics Internship. Familiarize yourself with the skills needed, such as data analysis tools and digital trend detection.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the internship's focus on data analysis, market research, and AI technologies. Include any projects or coursework that demonstrate your analytical abilities.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for analytics and your understanding of digital trends. Mention specific experiences that relate to the internship and explain why you want to work with Aisles UK.
Highlight Technical Skills: Make sure to emphasize your proficiency in data analysis tools like SQL, Python, or R, as well as visualization tools like Tableau or Power BI. Providing examples of how you've used these tools in past projects can strengthen your application.
How to prepare for a job interview at Aisles
✨Show Your Analytical Skills
Be prepared to discuss your experience with data analysis tools like SQL, Python, or R. Highlight specific projects where you successfully identified trends or provided insights that influenced decision-making.
✨Understand the Company and Its Market
Research Aisles UK and its position in the AI-driven market. Familiarize yourself with current digital trends and how they impact the industry, as this will demonstrate your genuine interest and proactive approach.
✨Prepare for Behavioral Questions
Expect questions about how you work in teams and handle challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing your ability to collaborate and adapt in a fast-paced environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the internship role, team dynamics, and future projects at Aisles UK. This shows your enthusiasm and helps you assess if the company is the right fit for you.
