At a Glance
- Tasks: Transform raw data into actionable insights and support strategic planning.
- Company: Leading Liverpool-based client with a focus on IT services.
- Benefits: Salary up to £35,000, flexible work options, and career development.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Make a real impact by driving business decisions and improving efficiency.
- Qualifications: Experience in SQL DBA, Power BI, and data analysis required.
The predicted salary is between 35000 - 35000 € per year.
A leading Liverpool-based client is seeking a Data Analyst to join the IT Services team and support ITIL v3 services across UK and international offices. The role involves collaborating with IT teams to transform raw data into actionable insights, aiding strategic planning, driving business decisions, improving efficiency, and identifying growth opportunities.
Key skills and responsibilities:
- Ensure software is kept current with the latest cumulative and security patches.
- Implement role-based security by managing user logins and permissions, and maintain robust backup strategies.
- Plan, install, and configure new SQL instances based on stakeholder technical designs.
- Proven experience in SQL DBA and Power BI roles is required.
- Data collection & cleaning: Acquire and validate data from different sources.
- Data analysis: Apply statistical methods to derive insights.
- Power BI (Data Visualization): Design and develop interactive, dynamic dashboards.
- Microsoft Fabric, including data factory, Data Lake, Dataverse.
- Windows Server and Windows Clustering.
- Possess working knowledge of networking and the networking stack.
- Data visualization: Produce charts and graphs for better understanding.
- Report generation: Provide clear reports to stakeholders.
- Offer technical guidance to improve infrastructure services.
Interested? Please submit your updated CV to Dean Sadler-Parkes at Harvey Nash for immediate consideration.
Data Analyst SQL Python Tableau in Liverpool employer: Harvey Nash
Join a dynamic and innovative team as a Data Analyst in Liverpool, where you'll have the opportunity to work with cutting-edge technologies and contribute to impactful projects that drive business success. Our collaborative work culture fosters professional growth, offering training and development opportunities to enhance your skills while enjoying a flexible work environment with two days onsite. With a competitive salary and a focus on employee well-being, we are committed to creating a rewarding workplace for all our team members.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst SQL Python Tableau in Liverpool
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL, Python, and Tableau. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when tackling data problems, as this will demonstrate your analytical skills and problem-solving abilities.
✨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 SQL Python Tableau in Liverpool
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Python, and Tableau, and don’t forget to mention any relevant projects or achievements that showcase your skills.
Showcase Your Skills:In your application, clearly demonstrate your data analysis skills. Use specific examples of how you've transformed raw data into actionable insights, as this is key for the role we're looking to fill.
Keep It Clear and Concise:When writing your application, keep it clear and to the point. Avoid jargon unless it's necessary, and make sure your passion for data analysis shines through without overwhelming us with too much information.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. This way, we can easily track your application and get back to you quicker. Don’t miss out on this opportunity!
How to prepare for a job interview at Harvey Nash
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and Tableau skills before the interview. Be ready to discuss how you've used these tools in past projects, as well as any specific challenges you faced and how you overcame them.
✨Understand the Business Context
Familiarise yourself with the company’s industry and how data analysis drives their decision-making. Think about how your insights can help improve efficiency and identify growth opportunities for them.
✨Prepare for Technical Questions
Expect questions that test your technical knowledge, especially around data collection, cleaning, and visualisation. Practise explaining your thought process clearly, as this will show your analytical skills and ability to communicate complex ideas.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples where you've transformed raw data into actionable insights. Highlight your experience with report generation and how your findings have influenced strategic planning or business decisions.
