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- Tasks: Conduct data analysis and generate insights to shape client strategies.
- Company: Made Tech, a forward-thinking company in the tech sector.
- Benefits: Flexible remote work, supportive learning environment, and competitive salary.
- Other info: Join a dynamic team focused on continuous growth and innovation.
- Why this job: Make a real impact by helping public sector clients with data-driven decisions.
- Qualifications: Proficiency in Power BI and Tableau, plus strong analytical skills.
The predicted salary is between 37000 - 45000 £ per year.
Made Tech is looking for a Data Analyst to join their Technology department. Your role will involve conducting comprehensive data analysis, generating actionable insights, and collaborating closely with clients to shape their data strategies. Proficiency in tools like Power BI and Tableau is essential. The position offers a supportive environment for continuous learning and flexibility in remote working arrangements. Salary ranges from £37,000 to £45,000 a year.
Remote Data Analyst: Dashboards for Public Sector in London employer: Made Tech
Contact Detail:
Made Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Analyst: Dashboards for Public Sector in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Made Tech. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially using Power BI and Tableau. This will help you stand out and demonstrate your expertise in a practical way.
✨Tip Number 3
Prepare for the interview by brushing up on common data analysis scenarios. Think about how you would approach real-world problems and be ready to discuss your thought process with the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the Made Tech family.
We think you need these skills to ace Remote Data Analyst: Dashboards for Public Sector in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and tools like Power BI and Tableau. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to Made Tech’s mission. We love seeing genuine enthusiasm and a bit of personality.
Showcase Your Analytical Skills: In your application, include examples of how you've generated actionable insights from data in the past. We’re looking for candidates who can demonstrate their analytical prowess and problem-solving abilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Made Tech
✨Know Your Tools Inside Out
Make sure you're well-versed in Power BI and Tableau. Familiarise yourself with their features and functionalities, and be ready to discuss how you've used them in past projects. This will show your potential employer that you can hit the ground running.
✨Showcase Your Analytical Skills
Prepare examples of how you've conducted data analysis in previous roles. Be ready to explain your thought process, the methodologies you used, and the insights you generated. This will demonstrate your ability to turn data into actionable strategies.
✨Understand the Public Sector Landscape
Research the specific challenges and opportunities within the public sector. Being able to discuss how your skills can address these issues will set you apart from other candidates and show that you're genuinely interested in the role.
✨Emphasise Collaboration
Since the role involves working closely with clients, be prepared to talk about your experience in collaborative environments. Share examples of how you've successfully worked with others to shape data strategies, highlighting your communication skills and adaptability.