At a Glance
- Tasks: Evaluate and enhance data sources to deliver actionable insights for social housing clients.
- Company: Values-led SaaS company based in Manchester, focused on social impact.
- Benefits: Competitive salary, private healthcare, and generous annual leave.
- Other info: Remote work opportunity with a focus on personal and professional growth.
- Why this job: Make a real difference in social housing through data analysis.
- Qualifications: 2–4 years of data analysis experience, strong statistical skills, and proficiency in Python and SQL.
The predicted salary is between 30000 - 40000 € per year.
Mobysoft Ltd in Manchester is seeking a Data Analyst to evaluate and enhance data sources for social housing clients, applying analytical skills to deliver actionable insights. The successful candidate will benefit from a competitive salary, private healthcare, and generous annual leave.
We are looking for someone with 2–4 years of experience in data analysis, strong statistical skills, and proficiency in tools like Python and SQL. Join us for a unique opportunity in a values-led SaaS company!
Data Analyst — Remote UK (Data Insights & Impact) in Manchester employer: Mobysoft Ltd
Mobysoft Ltd is an exceptional employer that prioritises employee well-being and professional growth, offering a competitive salary alongside private healthcare and generous annual leave. Our values-led work culture fosters collaboration and innovation, making it an ideal environment for Data Analysts looking to make a meaningful impact in the social housing sector while enjoying the flexibility of remote work in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst — Remote UK (Data Insights & Impact) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Mobysoft Ltd 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 data analysis projects, especially those using Python and SQL. This will help us demonstrate your expertise and make you stand out.
✨Tip Number 3
Ace the interview! Research common data analyst interview questions and practice your answers. We want to see how you think and solve problems, so be ready to showcase your analytical mindset.
✨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 — Remote UK (Data Insights & Impact) in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data analysis, especially with tools like Python and SQL. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data insights and how you can contribute to our mission at Mobysoft. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Analytical Skills:In your application, give examples of how you've used your analytical skills to deliver actionable insights in previous roles. We’re keen to see how you’ve made an impact in your past positions, so don’t hold back!
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 this exciting opportunity. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Mobysoft Ltd
✨Know Your Data Tools
Make sure you brush up on your skills with Python and SQL before the interview. Be ready to discuss specific projects where you've used these tools to analyse data and deliver insights. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Understand the Social Housing Sector
Research Mobysoft Ltd and their impact on social housing clients. Understanding the challenges and opportunities in this sector will help you tailor your answers and demonstrate your genuine interest in the role. It’s all about showing that you’re aligned with their values and mission.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical data problems or analyse case studies. Practise articulating your thought process clearly, as this will showcase your analytical skills and how you approach problem-solving in real-world situations.
✨Showcase Your Statistical Skills
Be prepared to discuss statistical methods you’ve used in past roles. Whether it’s regression analysis or A/B testing, having concrete examples ready will highlight your expertise and reassure the interviewers that you can handle the analytical demands of the job.
