At a Glance
- Tasks: Become a Data Analyst with hands-on training and industry certifications.
- Company: Join a supportive team dedicated to your career growth.
- Benefits: Earn while you learn, with competitive salaries and job placement support.
- Other info: Fast-track your journey to junior roles with expert guidance.
- Why this job: Launch your career in data analytics with no prior experience needed!
- Qualifications: No experience required; just a passion for data and learning.
The predicted salary is between 30000 - 30000 £ per year.
We offer a career pathway to entry‑level Data Analysts, designed for individuals with little or no prior experience. The programme covers foundational knowledge and industry‑standard certifications, aiming to place candidates into a Data Analyst role.
Average Salary Range
- Junior Data Analyst – £30,000
- Data Analyst – £50,000
- Business Data Analyst – £67,500
- Data Analytics Analyst – £80,000
- Business Analyst – £60,000
Program Steps
- CompTIA Data+ Qualification
Complete the internationally recognised CompTIA Data+ certification, covering data mining, manipulation, visualisation and reporting. Approximately 30 hours of study and a 1‑hour multiple‑choice exam. - Data Administration Training
Gain practical skills in Microsoft Excel, SQL, Python 3 and Tableau. Learning each tool typically requires 30‑60 hours of study and is assessed through course completion. - Business Analysis Foundation
Earn a BCS‑accredited Business Analysis Foundation certificate, taking roughly 15 hours and concluding with an online exam. This enhances employability across data and business analyst roles. - Recruitment Support
After certification, our support team assists with CV preparation, interview coaching and job placement into entry‑level Data Analyst roles.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst Trainee: Certs + Fast-Track to Junior Roles
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like PVH (Tommy Hilfiger/Calvin Klein).
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including PVH (Tommy Hilfiger/Calvin Klein), love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like PVH (Tommy Hilfiger/Calvin Klein).
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including PVH (Tommy Hilfiger/Calvin Klein), often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Data Analyst Trainee: Certs + Fast-Track to Junior Roles
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so PVH (Tommy Hilfiger/Calvin Klein) can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at PVH (Tommy Hilfiger/Calvin Klein) and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at PVH (Tommy Hilfiger/Calvin Klein)
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells PVH (Tommy Hilfiger/Calvin Klein) that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into PVH (Tommy Hilfiger/Calvin Klein)’s culture and workflow.
