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- Tasks: Transform raw data into actionable insights and create dashboards using SQL Server and Power BI.
- Company: Join Housing Solutions, a forward-thinking company focused on data-driven decisions.
- Benefits: Generous pension, employee wellbeing focus, and extensive development programmes.
- Other info: Enjoy a flexible work environment with both onsite and remote options.
- Why this job: Make a real impact by turning data into insights that drive change.
- Qualifications: Strong analytical skills and experience with Python are essential.
The predicted salary is between 30000 - 40000 £ per year.
Housing Solutions is seeking a Data Analyst to join their new data team in Maidenhead. The role involves turning raw data into actionable insights and creating dashboards using SQL Server and Power BI. Strong analytical skills and experience with Python are essential for transforming data and ensuring quality.
Benefits include a generous pension contribution, focus on employee wellbeing, and extensive development programs. This position allows for a blend of onsite and remote work.
Data Analyst: Build Insightful Dashboards & AI-Ready Data employer: Housing Solutions
Contact Detail:
Housing Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Build Insightful Dashboards & AI-Ready Data
✨Tip Number 1
Network like a pro! Reach out to current employees at Housing Solutions on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best dashboards and data projects. This will help us demonstrate your analytical prowess and creativity during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL Server and Power BI skills before the interview. We want to be ready to tackle any technical questions that come our way.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Analyst: Build Insightful Dashboards & AI-Ready Data
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your analytical skills and experience with SQL Server, Power BI, and Python in your application. We want to see how you can turn raw data into actionable insights, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to creating dashboards and ensuring data quality. It helps us see how you fit into our team!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate straightforward communication!
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’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Housing Solutions
✨Know Your Tools
Make sure you’re familiar with SQL Server and Power BI. Brush up on your skills and be ready to discuss how you've used these tools in past projects. It’s a great way to show you can hit the ground running!
✨Showcase Your Analytical Skills
Prepare examples of how you've turned raw data into actionable insights. Think about specific challenges you faced and how you overcame them using your analytical skills. This will demonstrate your problem-solving abilities.
✨Get Comfortable with Python
Since experience with Python is essential, be ready to talk about your proficiency. Consider discussing any relevant projects where you’ve used Python for data transformation or analysis. This will highlight your technical expertise.
✨Emphasise Team Collaboration
As this role involves working within a new data team, be prepared to discuss your experience collaborating with others. Share examples of how you’ve worked effectively in teams, especially in remote settings, to show you’re a good fit for their culture.