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For Companies At a Glance
- Tasks: Analyse data to drive strategic decisions and enhance business performance.
- Company: Join a leading student accommodation provider with a vibrant team culture.
- Benefits: Enjoy 33 days of leave, health perks, and a supportive work environment.
- Why this job: Make an impact in a fast-paced role while developing your analytical skills.
- Qualifications: Degree in a quantitative field and proficiency in Excel and SQL required.
- Other info: Flexible work environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Join the dynamic team at Student Castle Property Management Services Ltd (SCPMS), a leader in purpose-built student accommodation. We operate under two flagship brands – Student Castle and Capitol Students – with a focus on creating a warm and welcoming home away from home experience for student residents. We are seeking a dynamic and motivated Data Analyst to join our growing team, supporting functions across revenue management, marketing, sales, and commercial strategy. The Data Analyst will collaborate closely with multiple departments, delivering data-driven insights to inform strategic decisions and drive business performance. The ideal candidate will thrive in a fast-paced environment, bring a strong analytical mindset, and demonstrate a solid understanding of the PBSA market.
Key Responsibilities
- Collect marketing intelligence on rental levels, occupancy rates, and market trends across PBSA sector and other relevant sectors such as BTR and HMO.
- Conduct marketing and competitor analyses to shape pricing decisions and revenue plans.
- Support pricing strategies by modelling demand scenarios, competitor benchmarks and seasonal trends.
- Analyse and forecast rental revenue streams, identify opportunities for growth, and inform leasing strategies.
- Collaborate with the sales team to refine rental proposals and optimize market rent strategies.
- Monitor KPIs, identify anomalies, and suggest corrective actions based on data findings.
- Analyse data for migration between legacy and new property management systems.
Reporting
- Develop accommodation schedules using floor plans, operational data, and client specifications.
- Support budgeting, forecasting, and scenario modelling activities using Excel and financial models.
- Develop and maintain reports, dashboards and data visualizations using Power BI, Tableau, or equivalent tools.
- Monitor and analyse system performance post-system migration to ensure ongoing data quality.
Data Management
- Manage internal and external data sources, ensuring integrity and accessibility for business users.
- Partner with other departments to ensure alignment between data insights and business goals.
- Utilise SQL, Python, or R to extract, manipulate, and analyse data from various databases and systems.
- Assist in data mapping, cleansing, validation, and migration between legacy systems and new platforms.
- Develop and execute test plans to ensure data accuracy, system functionality, and reporting capabilities.
- Work closely with IT, project managers, finance, operations, and other business units to resolve data issues and improve processes.
- Document data flows, transformation rules, and implementation outcomes.
Other Responsibilities
- Conduct ad-hoc analyses to support business expansion initiatives and strategic planning.
- Undertake additional tasks and ad hoc projects as required to support the overall business objectives and sales strategy.
- Be flexible and responsive to evolving business needs and priorities.
What We’re Looking For
Experience & Skills
- Degree in a quantitative field (e.g., Mathematics, Economics, Data Science, Statistics, or related).
- Strong proficiency in Excel and SQL.
- Experience using data visualisation tools such as Power BI or Tableau.
- Solid analytical and problem-solving skills, with a keen attention to detail.
- Strong communication skills to convey insights clearly to non-technical stakeholders.
- Ability to manage multiple priorities and work to tight deadlines.
- Experience in the property, hospitality, or student accommodation sectors.
- Familiarity with revenue management or dynamic pricing principles.
- Proficiency in Python or R for advanced analysis or automation.
- Experience with CRM or property management systems (e.g., Entrata, StarRez, Salesforce, Hubspot).
Personal Qualities
- A self-starter who thrives in a fast-paced environment and can hit the ground running.
- Reliable, trustworthy, and able to manage multiple priorities.
- A keen eye for detail, with a passion for sophisticated and professional branding.
Why Join Our Team
At SCPMS, we believe in fostering a work environment where our team not only excels professionally but also thrives personally. When you join our dynamic team, you’ll enjoy a comprehensive benefits package designed to support your wellbeing and celebrate milestones.
Benefits
- 33 days of annual leave
- Life Insurance (4x salary)
- Discretionary bonus scheme
- Health and wellbeing initiatives
- Virtual GP access
- Health cash plan
- Company-paid sick leave
- Enhanced maternity/paternity pay
- Maternity wardrobe support
- A gift at the birth of your baby
- Entire day off for your child’s first day at school
- Me Day
- Access to deals and discounts
- Career celebration awards
- And more
More details and eligibility criteria will be shared with the successful candidate!
Data Analyst in London employer: Student Castle
Contact Detail:
Student Castle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Student Castle or similar companies on LinkedIn. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss how you've used Excel, SQL, or Python in past projects. Show us your analytical mindset!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your soft skills too! Being able to communicate insights clearly is key, especially when working with non-technical teams.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at SCPMS.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight relevant experience and skills that match the job description, like your proficiency in Excel, SQL, and data visualisation tools. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission at SCPMS. Don’t forget to mention any experience in the property or student accommodation sectors!
Show Off Your Analytical Skills: In your application, give examples of how you've used your analytical skills to solve problems or drive decisions in previous roles. We love candidates who can demonstrate their ability to turn data into actionable insights!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our dynamic team at SCPMS!
How to prepare for a job interview at Student Castle
✨Know Your Data Tools
Make sure you brush up on your skills with Excel, SQL, and any data visualisation tools like Power BI or Tableau. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Understand the PBSA Market
Familiarise yourself with the purpose-built student accommodation (PBSA) sector. Research current trends, rental levels, and occupancy rates. This knowledge will help you demonstrate your analytical mindset and show that you're genuinely interested in the industry.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse data scenarios or solve problems related to pricing strategies and revenue management. Practise articulating your thought process clearly, as this will showcase your problem-solving skills and ability to communicate insights effectively.
✨Showcase Your Collaboration Skills
Since the role involves working closely with various departments, be prepared to discuss examples of how you've successfully collaborated in the past. Highlight your communication skills and how you've used data to support decision-making across teams.
