At a Glance
- Tasks: Create impactful dashboards and reports to enhance team performance and customer satisfaction.
- Company: Join a dynamic team in London focused on AI-driven SaaS solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting environment with a focus on innovation and collaboration.
- Why this job: Make a difference by using data to drive improvements and support real users.
- Qualifications: 2+ years of SQL experience and familiarity with data visualisation tools.
The predicted salary is between 36000 - 60000 £ per year.
Join a growing team in the heart of London working on an AI based SaaS platform as a Data Analyst.
Responsibilities:
- Building dashboards and reports that support our Operations team in monitoring their performance.
- Building reports that we can send to our customers.
- Using SQL to get access to our data and building bespoke datasets and dashboards for our customers.
- Identifying opportunities for improvement in our processes.
- Talking to the users of your work to understand their needs.
Qualifications:
- 2+ Years experience writing SQL and interrogating data.
- Want to move beyond Excel for visualisations.
- Comfortable with hands-on application.
- Used data visualisation tools like Quicksight and Luzmo.
- Used AWS, especially RDS, MySQL or S3.
- Understanding of Python.
Seniority level: Associate
Employment type: Full-time
Job function: Analyst
Industries: Software Development
Data Analyst in London employer: Skills Alliance
Join a dynamic and expanding commodity and chemical distribution business that values its employees and fosters a collaborative work culture. With clear pathways for career progression and the flexibility of a hybrid working model, you will be at the forefront of impactful operations while enjoying a supportive environment that encourages professional growth. This role not only offers competitive benefits but also places you in a pivotal position within a high-performing team, making it an excellent opportunity for those seeking meaningful and rewarding employment.
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 people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your dashboards and reports. Use platforms like GitHub to share your SQL projects and visualisations. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Brush up on your SQL queries and be ready to discuss how you've used data visualisation tools. Confidence is key, so rehearse your answers!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from passionate candidates. Tailor your application to highlight your experience with SQL, AWS, and any relevant tools to stand out.
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 your SQL experience and any data visualisation tools you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share why you're excited about working with us at StudySmarter and how your background makes you a great fit for our team. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any relevant projects, don’t hesitate to mention them! Whether it's building dashboards or manipulating data, we love seeing real examples of your work that demonstrate your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Skills Alliance
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in past projects, and maybe even tackle a few practical questions or exercises. This will show that you're not just familiar with SQL, but that you can apply it effectively.
✨Showcase Your Data Visualisation Skills
Since the role involves using data visualisation tools like Quicksight and Luzmo, be ready to talk about your experience with these tools. Bring examples of dashboards or reports you've created, and explain how they helped improve decision-making or performance.
✨Understand the Business Context
Research the company and its operations team. Understand their goals and challenges, and think about how your work as a Data Analyst can support them. This will help you tailor your answers and demonstrate that you're genuinely interested in contributing to their success.
✨Prepare Questions for Them
Interviews are a two-way street, so prepare thoughtful questions to ask your interviewers. Inquire about their current data challenges, the tools they use, or how they measure success. This shows that you're engaged and eager to understand how you can fit into their team.
