At a Glance
- Tasks: Collect and analyse data to drive business strategies and create impactful reports.
- Company: Join the UK's largest manager of Build to Rent homes, based in Sale.
- Benefits: Hybrid working, competitive salary, and opportunities for skill development.
- Other info: Exciting chance to work in a dynamic environment with excellent career growth potential.
- Why this job: Be part of a growing analytics team and make a real difference in data-driven decisions.
- Qualifications: Strong analytical skills and proficiency in SQL, Power BI, and data visualisation.
The predicted salary is between 40000 - 45000 £ per year.
Excellent opportunity for a Data Analyst to join our team. The successful candidate will support both internal and client reporting whilst helping modernise and improve the organisation's reporting and data landscape. The successful candidate will challenge existing processes and recommend improvements.
Client Details: Based in Sale, we are the UK's largest manager of single-family Build to Rent homes, we're the experts when it comes to optimising BTR and PRS portfolios. Partnering with industry-leading property funds, we provide award-winning end-to-end management of over 12,000 properties, valued at c. £2bn in today's market. We make it easier for investors to yield stable, long-term returns, all whilst ensuring assets are managed effectively and maintaining excellent customer service.
Description: The successful Data Analyst will be responsible for but not limited to:
- Collect and organise data from various sources to support analytics projects.
- Analyse data to identify trends, patterns and insights to inform business strategies.
- Create clear and actionable reports and dashboards for stakeholders.
- Collaborate with teams to understand data needs and provide solutions.
- Ensure data accuracy and integrity through regular checks and validation.
- Support the development of predictive models and data-driven strategies.
- Assist in automating data processes for improved efficiency.
- Stay updated on industry trends and best practices in data analytics.
Profile: The successful Data Analyst will be able to demonstrate:
- Strong analytical skills and attention to detail.
- Proficiency in data analysis tools and software.
- Proficient in creating reports and visualisations.
Technical Skills: SQL, Power BI, DAX, Data Modelling, Power Query.
Job Offer: Based in Sale (South Manchester) we are easily commutable by public transport or by car, we offer a hybrid working policy - circa 3 days in the office. We are growing our analytics capabilities and moving to cloud, this is a great opportunity to join us on our journey and gain new skills.
Salary between £40,000 and £45,000, dependent on the level of experience. Permanent role - Hybrid working. Benefits to be confirmed.
If you're interested in this role, apply now.
Data Analyst in Manchester employer: Michael Page
At Michael Page, we pride ourselves on being an excellent employer that champions community impact through our Social Value Lead role. Our supportive work culture fosters collaboration and innovation, providing employees with ample opportunities for professional growth while making a meaningful difference in the property industry. Located in a vibrant area, we offer competitive salaries and a commitment to employee well-being, ensuring that you thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Michael Page!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Michael Page.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Michael Page.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Michael Page, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Michael Page, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Michael Page. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Michael Page
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Michael Page!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
