At a Glance
- Tasks: Join our team as a Data Analyst, focusing on reporting and data insights.
- Company: Proactive Appointments Limited is a leading employment agency committed to equal opportunities.
- Benefits: Enjoy a hybrid work model with 2 days on-site each week.
- Why this job: This role offers hands-on experience in data analysis and the chance to work with cutting-edge tools.
- Qualifications: Experience with Power BI, Python, and a background in Cyber Security is preferred.
- Other info: This is a contract position for 6 months, with potential for extension.
The predicted salary is between 36000 - 60000 £ per year.
Data Analyst – Inside IR35 – Hybrid Our client is urgently looking for an experienced Data Analyst to join their team on a contract basis, initially for 6 months with a view to extend. Please note, the role is INSIDE of IR35. The role is also hybrid, with 2 days on-site each week. Data Analyst – Key Skills: Reporting Power BI Python Cyber Security background – very nice to have Data Analyst – Inside IR35 – Hybrid Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website http://proactive.it/privacy-notice/ …
Data Analyst employer: Proactive Appointments
Contact Detail:
Proactive Appointments Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Make sure to highlight your experience with Power BI and Python in any conversations or networking opportunities. These skills are crucial for the Data Analyst role, and demonstrating your proficiency can set you apart from other candidates.
✨Tip Number 2
If you have a background in Cyber Security, be ready to discuss how this experience can enhance your data analysis capabilities. Employers value candidates who can bring additional insights from related fields.
✨Tip Number 3
Since the role is hybrid, emphasize your adaptability and experience working in both remote and on-site environments. Share examples of how you've successfully collaborated with teams in different settings.
✨Tip Number 4
Stay proactive in your job search by reaching out to current employees at StudySmarter or similar companies on LinkedIn. Networking can provide valuable insights and potentially lead to referrals.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasize your experience with Power BI, Python, and any knowledge of Cyber Security in your CV and cover letter. Tailor your application to showcase how these skills align with the job requirements.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in the Data Analyst position and how your background makes you a suitable candidate. Be specific about your previous experiences and achievements related to data analysis.
Format Your CV Professionally: Ensure your CV is well-structured and easy to read. Use bullet points for clarity and include relevant metrics or outcomes from your past roles to demonstrate your impact as a Data Analyst.
Follow Application Instructions: Pay close attention to the application instructions provided by the company. Ensure you submit all required documents and adhere to any specified formats or guidelines.
How to prepare for a job interview at Proactive Appointments
✨Showcase Your Technical Skills
Make sure to highlight your experience with Power BI and Python during the interview. Be prepared to discuss specific projects where you utilized these tools, as this will demonstrate your hands-on expertise.
✨Understand Cyber Security Basics
Since a background in cyber security is a nice-to-have, familiarize yourself with basic concepts and how they relate to data analysis. This knowledge can set you apart from other candidates.
✨Prepare for Behavioral Questions
Expect questions that assess your problem-solving skills and ability to work in a team. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the role's expectations. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.