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For Companies At a Glance
- Tasks: Collect and analyse data to create impactful reports and dashboards.
- Company: Join a rapidly growing business with a collaborative culture.
- Benefits: Earn £25,000 while gaining valuable skills in data analysis.
- Why this job: Kickstart your career in data analysis with hands-on experience and formal training.
- Qualifications: Passion for data and proficiency in Microsoft Office required.
- Other info: Office-based role; personal vehicle needed due to rural location.
The predicted salary is between 800 - 1400 £ per month.
Please note that this is an apprenticeship position and therefore anyone with more than six months professional experience working as a data analyst or who holds a degree or Master’s degree in a subject such as Data Science, Business Analytics, Maths will not be eligible. You will also need to commit to completing a Level 4 Data Analyst Apprenticeship.
The Role
As a data analyst, you would collect numerical information and present results. Usually this would be in the form of reports, graphs and charts. The data can involve Customers, Tendering, Revenue & Costs or Logistics and be used to boost productivity / revenue, improve decision making and reduce costs. This is a brand new role in a rapidly growing business, so you will be working with the Finance Director and Commercial manager to build a reporting structure from the ground up. You will also get the opportunity to enter into a Data apprenticeship with formal study and training. You will gain / improve skills in SQL, Data visualisation, Advanced BI and Machine learning.
Key Responsibilities
- Work with Business management to design & build reporting dashboards.
- Interpret data, analyse results and provide ongoing reports with actionable output.
- Help to automate manual processes within the Commercial, Finance and Operational teams involving data.
- Identify, analyse and interpret trends or patterns in complex datasets.
- Locate and define new process improvement opportunities.
Candidate Profile
- A proven interest in a career in data analysis (this could be from formal studies, self study or the workplace).
- A proven passion for data / numbers (this could be from formal studies, self study or the workplace).
- Proficient in Microsoft Office including Word, Excel, and Outlook.
- Open minded and supportive team player with strong communication skills.
- Proficient at prioritising tasks and consistently meeting deadlines.
- Ability to identify process improvements and help implement solutions.
- Ability to work as part of a team and independently.
- An eye for detail and commercially aware.
- Experience of using data tools such as SQL, Python, PowerBI (or equivalent) preferable but not essential.
Essential Qualifications
- 7 GCSE’s (or equivalent) at grades 9-4 or A-C including English and Mathematics.
- 3 A Levels at grades A - C (or equivalent) in STEM subjects.
Applications are encouraged from graduates looking for an apprenticeship route to a Data Analytics career.
Salary £25,000
Location Podington (NN29 7XA)
Please note, this is an office based role and the location is rural with no public transport options. Therefore, the successful candidate will be required to have access to a personal vehicle. It is anticipated that the successful candidate will have a commute of no more than 1hr 15 minutes.
The Company
We are entering a period of significant growth and are seeking likeminded people who aspire to grow with us and be part of our exciting journey. In return, we offer a collaborative working environment where we actively encourage and support continuous improvement and career development.
Data Analyst Apprentice in Wellingborough employer: Digital Native
Contact Detail:
Digital Native Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Apprentice in Wellingborough
✨Tip Number 1
Network like a pro! Reach out to people in the data analysis field, attend local meetups or online webinars. You never know who might have a lead on an apprenticeship or can give you insider tips.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects you've worked on, even if they're self-initiated. This will help you stand out and demonstrate your passion for data analysis.
✨Tip Number 3
Prepare for interviews by practising common data analysis questions. Think about how you can relate your experiences to the role and be ready to discuss your problem-solving approach.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst Apprentice in Wellingborough
Some tips for your application 🫡
Show Your Passion for Data: Let us see your enthusiasm for data analysis shine through! Whether it's from your studies, self-learning, or any relevant experience, make sure to highlight your genuine interest in numbers and data-driven decision making.
Tailor Your Application: Don’t just send a generic application. We want to see how your skills and experiences align with the role. Mention specific tools like SQL or PowerBI if you’ve used them, and relate your past experiences to the responsibilities listed in the job description.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon. We appreciate well-structured applications that get straight to the point while showcasing your skills and experiences effectively.
Apply Through Our Website: Make sure to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting apprenticeship opportunity. Plus, it helps us keep everything organised!
How to prepare for a job interview at Digital Native
✨Show Your Passion for Data
Make sure to express your genuine interest in data analysis during the interview. Share any relevant experiences, whether from studies or personal projects, that highlight your enthusiasm for numbers and data-driven decision making.
✨Familiarise Yourself with Key Tools
Even if you don't have extensive experience, it’s a good idea to brush up on tools like SQL, PowerBI, or Python. Mention any self-study or coursework you've done related to these tools, as it shows initiative and readiness to learn.
✨Prepare for Practical Scenarios
Think about how you would approach real-world data problems. Be ready to discuss how you would design reporting dashboards or automate processes. This will demonstrate your problem-solving skills and ability to apply theoretical knowledge in practical situations.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role and the company. Inquire about the types of projects you might work on or how the team collaborates. This shows your interest in the position and helps you assess if it's the right fit for you.