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For Companies At a Glance
- Tasks: Join our team to analyse data, build dashboards, and support exciting projects.
- Company: We're a thriving property investment group with a focus on growth and stability.
- Benefits: Enjoy full training, hands-on experience, and potential for remote work.
- Why this job: Gain valuable skills in a supportive environment while working on impactful projects.
- Qualifications: A passion for data and technology; no prior experience required!
- Other info: Opportunity to work with cutting-edge tools like SQL, Python, and Azure.
The predicted salary is between 30000 - 33000 £ per year.
An excellent opportunity for a bright, ambitious entry-level analyst to join a highly profitable, multinational property investment and management group. This is a rare chance to gain broad technical and business exposure across data engineering, analytics, and emerging data science projects — all within a close-knit, supportive technical team.
The Company: A successful and privately-owned property investment and management organisation operating across the UK and wider Europe. The group is known for its long-term approach to growth, focus on stability, and deep partnerships with tenants and investors. With operations across Europe, they are currently expanding and integrating their European businesses into a centralised, modern data and technology structure.
The Role: As part of the technical team, this role offers hands-on experience across a range of leading technologies and platforms. Full training will be provided in SQL, Looker, and DBT for reporting, dashboarding, and data pipeline development. You’ll also get exposure to Python, Databricks, and Azure as you grow into the role. There is also future potential to gain exposure in data science and machine learning projects as the team evolves.
Day-to-Day Responsibilities:
- Build and maintain SQL queries and Looker dashboards for reporting and visualisation
- Develop and maintain data pipelines using DBT
- Ingest and process data from various sources across the business
- Collaborate with business stakeholders to understand reporting needs
- Contribute to large-scale European data integration projects
- Support internal projects such as system upgrades and process automation
Key Projects You’ll Be Involved In:
- European Integration: Supporting the integration of newly acquired businesses into the group's systems, aligning data structures and reporting across regions.
- Legal Process Automation: Assisting in the development of a web application that automates lease pack generation, streamlining legal operations.
- System Upgrades: Helping implement a new, company-wide management and finance system — a major data and engineering project.
What You’ll Need:
- A strong interest in data, analytics, and technology
- A proactive, entrepreneurial mindset with a desire to learn and solve problems
- Excellent communication skills and confidence working with business stakeholders
Tech Stack You’ll Learn:
- SQL
- Looker
- DBT
- Python
- Databricks
- Azure
Junior Data Analyst employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst
✨Tip Number 1
Familiarise yourself with SQL and data visualisation tools like Looker. Since you'll be building queries and dashboards, having a basic understanding of these technologies will give you a head start in the interview process.
✨Tip Number 2
Showcase your problem-solving skills by discussing any relevant projects or experiences where you've used data to make decisions. This will demonstrate your proactive mindset and ability to work with business stakeholders.
✨Tip Number 3
Network with professionals in the data analytics field, especially those who have experience with Python, Databricks, or Azure. Engaging with industry experts can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your enthusiasm for learning new technologies and your interest in data science. The role offers growth opportunities, so showing your eagerness to evolve with the team will make you a more attractive candidate.
We think you need these skills to ace Junior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights any relevant experience or skills related to data analysis, SQL, and any other technologies mentioned in the job description. Use keywords from the job listing to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention specific projects or aspects of the job that excite you, and explain how your background aligns with their needs.
Showcase Your Technical Skills: If you have experience with SQL, Looker, or any other tools listed, be sure to include examples of how you've used them in past projects or coursework. If you're new to these technologies, express your eagerness to learn and grow in these areas.
Prepare for Potential Questions: Think about common interview questions related to data analysis and problem-solving. Be ready to discuss how you approach challenges and your interest in data science and machine learning, as these are key aspects of the role.
How to prepare for a job interview at LinkedIn
✨Show Your Passion for Data
Make sure to express your genuine interest in data analytics during the interview. Share any relevant projects or experiences that highlight your enthusiasm for working with data, whether it's through coursework, personal projects, or internships.
✨Familiarise Yourself with the Tech Stack
Before the interview, take some time to learn about SQL, Looker, and DBT, as these are key tools for the role. Even if you haven't used them extensively, showing that you've done your homework will impress the interviewers and demonstrate your eagerness to learn.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask your interviewers about the company culture, team dynamics, and specific projects you'll be involved in. This shows that you're not only interested in the role but also in how you can contribute to the team's success.
✨Highlight Your Communication Skills
Since the role involves collaborating with business stakeholders, emphasise your communication skills. Provide examples of how you've effectively communicated complex information in the past, whether in group projects or presentations.
