At a Glance
- Tasks: Analyze complex data and develop insightful reports using Power BI.
- Company: Join GCS, a dynamic employment business focused on operational efficiencies.
- Benefits: Enjoy a hybrid work model with flexibility on Mondays, Tuesdays, and Thursdays.
- Why this job: Make a real impact by improving resident experiences through data-driven insights.
- Qualifications: Strong Power BI skills and housing experience preferred; analytical mindset required.
- Other info: This is a contract role inside IR35, perfect for those seeking hands-on data exploration.
The predicted salary is between 36000 - 60000 £ per year.
Role – Data Analyst (Power BI) Type- Contract (Inside IR35) Nature- Hybrid (Monday, tuesday, thursday) Looking for- Strong Power BI Looks at the complex data interrtates it. Developing reports themselves Housing experience is preferred Some one who can play with real mix of data – open and exploritary Trying to find correlation between data sets. Perform technical analysis related to our homes and measure the impact and outcomes to deliver operational efficiencies and improvement to maximise the resident experienceGCS is acting as an Employment Business in relation to this vacancy
Data Analyst (Power BI) employer: GCS Ltd
Contact Detail:
GCS Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Power BI)
✨Tip Number 1
Familiarize yourself with the latest features of Power BI. Being able to showcase your knowledge of advanced functionalities, like DAX and data modeling, can set you apart during discussions.
✨Tip Number 2
Prepare to discuss specific examples of how you've used data analysis to drive operational efficiencies in previous roles. Highlighting your housing experience will be a big plus!
✨Tip Number 3
Practice explaining complex data insights in simple terms. This skill is crucial for a Data Analyst, especially when collaborating with non-technical stakeholders.
✨Tip Number 4
Stay updated on industry trends related to data analysis in the housing sector. Showing that you understand the current challenges and opportunities can demonstrate your commitment and insight.
We think you need these skills to ace Data Analyst (Power BI)
Some tips for your application 🫡
Highlight Your Power BI Skills: Make sure to emphasize your experience with Power BI in your CV and cover letter. Provide specific examples of reports you have developed and how you have used Power BI to interpret complex data.
Showcase Relevant Experience: If you have housing experience, be sure to mention it. Discuss any previous roles where you analyzed data related to housing or similar sectors, and how that experience can benefit the company.
Demonstrate Analytical Thinking: In your application, illustrate your ability to find correlations between data sets. You could include a brief case study or example of a project where you successfully performed technical analysis and delivered insights.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the job posting, such as 'operational efficiencies' and 'resident experience', to show that you understand the role and its requirements.
How to prepare for a job interview at GCS Ltd
✨Showcase Your Power BI Skills
Be prepared to discuss your experience with Power BI in detail. Highlight specific projects where you've developed reports and interpreted complex data sets. If possible, bring examples of your work to demonstrate your capabilities.
✨Understand the Housing Sector
Since housing experience is preferred, familiarize yourself with key metrics and challenges in the housing industry. Be ready to discuss how your analytical skills can contribute to improving resident experiences and operational efficiencies.
✨Demonstrate Analytical Thinking
Prepare to explain your approach to analyzing data sets and finding correlations. Use examples from past experiences to illustrate how you have successfully identified trends or insights that led to actionable outcomes.
✨Ask Insightful Questions
During the interview, ask questions that show your interest in the role and the company. Inquire about the types of data you will be working with and how the team measures success in delivering improvements to the resident experience.