At a Glance
- Tasks: Manage product usage queries and build dashboards to support data-driven decisions.
- Company: Stanton House, a growing software business in Central London.
- Benefits: Permanent role with opportunities for professional growth and development.
- Other info: Engage with the Customer Success team in a collaborative environment.
- Why this job: Join a dynamic team and make an impact through data science.
- Qualifications: Strong SQL and Python skills, plus experience with BI tools.
The predicted salary is between 50000 - 65000 £ per year.
Stanton House is seeking a Data Scientist to join their growing software business based in Central London. This permanent role involves engaging with the Customer Success team to manage product usage queries, SQL-based reporting, and data infrastructure work.
The Data Scientist will set up and maintain the data warehouse, build dashboards, connect data sources, and support data-driven decision making across teams. Strong SQL and Python skills are essential, along with experience in BI tools.
Data Scientist: Data Warehousing & Dashboards (London) employer: Stanton House
Stanton House is an excellent employer that fosters a collaborative and innovative work culture in the heart of Central London. With a strong focus on employee growth, we offer opportunities for professional development and skill enhancement, particularly in data science and analytics. Our commitment to supporting data-driven decision-making ensures that every team member's contributions are valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist: Data Warehousing & Dashboards (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Stanton House or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially any dashboards or data warehousing work you've done. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on common data science scenarios. Think about how you would tackle product usage queries or set up a data warehouse. Being ready with examples will impress the hiring team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist: Data Warehousing & Dashboards (London)
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your SQL expertise in your application. We want to see how you've used SQL in past projects, especially in reporting and data management. Don't hold back on the details!
Dashboards Are Key:If you've built dashboards before, let us know! Share examples of BI tools you've worked with and how they helped drive decisions. We love seeing how you can turn data into insights.
Connect the Dots:In your application, connect your experience with data warehousing and infrastructure work to the role. We’re looking for someone who can seamlessly integrate data sources and support our teams effectively.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Stanton House
✨Know Your SQL Inside Out
Since strong SQL skills are essential for this role, make sure you brush up on your SQL knowledge. Be prepared to answer questions about complex queries, data manipulation, and how you've used SQL in past projects. Practising with real datasets can help you feel more confident.
✨Showcase Your Python Proficiency
Python is a key skill for the Data Scientist position. Be ready to discuss your experience with Python, particularly in relation to data analysis and automation. If possible, bring examples of scripts or projects you've worked on that demonstrate your coding abilities.
✨Familiarise Yourself with BI Tools
As the role involves building dashboards and supporting data-driven decision making, it's crucial to be familiar with BI tools. Research the specific tools the company uses and be prepared to discuss how you've utilised similar tools in your previous roles.
✨Engage with the Customer Success Team
Understanding how to manage product usage queries is vital. Think about how you would approach collaboration with the Customer Success team. Prepare examples of how you've worked cross-functionally in the past and how you can contribute to enhancing customer satisfaction through data insights.
