Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Assist in developing data strategies and provide analytical support for social housing.
- Company: Dynamic recruitment agency focused on impactful housing projects.
- Benefits: Competitive pay, flexible hours, and valuable experience in data analysis.
- Why this job: Make a difference in social housing through data-driven decision-making.
- Qualifications: Experience in data analysis and proficiency in Excel and Power BI.
- Other info: Short-term contract with potential for future opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A recruitment agency in the UK is seeking a Principal Data Analyst for a 3-month contract. The role involves assisting in the development of data collection strategies for social housing stock and providing analytical support. The successful candidate will engage with stakeholders, manage data systems, and utilize Microsoft Excel and Power BI for reporting. This position is instrumental in ensuring that data is accurate and actionable to support decision-making within the Housing Capital Programme.
Senior Data Analyst: Housing Asset Forecasting in London employer: Aatom Recruitment
Contact Detail:
Aatom Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst: Housing Asset Forecasting in London
✨Tip Number 1
Network like a pro! Reach out to people in the housing sector or data analysis field. LinkedIn is your best mate here – connect with professionals, join relevant groups, and don’t be shy to ask for informational interviews.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Excel and Power BI. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of social housing and data collection strategies. Be ready to discuss how you’ve used data to drive decisions in past roles – real-life examples go a long way!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come in.
We think you need these skills to ace Senior Data Analyst: Housing Asset Forecasting in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, especially with social housing or similar sectors. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Excel and Power BI!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about housing asset forecasting and how your analytical skills can make a difference. We love seeing genuine enthusiasm for the role!
Showcase Your Stakeholder Engagement Skills: Since this role involves engaging with stakeholders, mention any relevant experiences where you've successfully collaborated with others. We appreciate candidates who can communicate effectively and build strong relationships.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Aatom Recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in data collection strategies, especially in the context of social housing. Brush up on your knowledge of how to manage and analyse data systems, as this will be crucial for the role.
✨Showcase Your Excel and Power BI Skills
Prepare to demonstrate your proficiency in Microsoft Excel and Power BI during the interview. Bring examples of reports you've created or analyses you've conducted using these tools to show how you can provide actionable insights.
✨Engage with Stakeholders
Be ready to discuss your experience working with stakeholders. Think of specific instances where you’ve successfully communicated complex data findings to non-technical audiences, as this will highlight your ability to support decision-making.
✨Prepare Questions About the Housing Capital Programme
Research the Housing Capital Programme and come prepared with insightful questions. This shows your genuine interest in the role and helps you understand how you can contribute effectively to their goals.
