At a Glance
- Tasks: Optimise SQL queries, create visualisations, and provide insights for business decisions.
- Company: Fast-growing social commerce company based in London.
- Benefits: Flexible compensation, negotiable salary, shares, and advancement opportunities.
- Why this job: Join a dynamic team and make impactful data-driven decisions.
- Qualifications: Strong SQL skills, experience with Metabase, and a passion for data accuracy.
- Other info: Hybrid role offering flexibility and growth in a thriving industry.
The predicted salary is between 90000 - 100000 £ per year.
A fast-growing social commerce company in London is seeking a Senior Data Analyst who excels in SQL and has experience with Metabase. The role involves optimizing SQL queries, creating visualizations, and providing insights to support business decisions. Ideal candidates will have a good grasp of statistical thinking and a passion for data accuracy.
This hybrid position offers flexible compensation, including a negotiable salary in the range of £90,000 to £100,000, alongside shares and opportunities for advancement.
Senior Data Analyst: Postgres/Metabase, Hybrid, Equity in London employer: Obsidian
Contact Detail:
Obsidian Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst: Postgres/Metabase, Hybrid, Equity in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries and visualisations. Use platforms like GitHub or even a personal website to demonstrate your expertise with Metabase and data analysis.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Brush up on your statistical thinking and be ready to discuss how you've used data to drive business decisions in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives us a chance to see your application in the best light possible.
We think you need these skills to ace Senior Data Analyst: Postgres/Metabase, Hybrid, Equity in 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 optimised queries in the past and any cool projects you've worked on that involved data analysis.
Visualisation is Key: Since Metabase is a big part of this role, include examples of visualisations you've created. We love seeing how you can turn complex data into easy-to-understand insights that support business decisions.
Statistical Thinking Matters: Don’t forget to mention your grasp of statistical thinking! We’re looking for candidates who can apply this knowledge to ensure data accuracy and provide meaningful insights.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Obsidian
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with optimising queries and any specific challenges you've faced. Practising common SQL problems can help you articulate your thought process during the interview.
✨Showcase Your Visualisation Expertise
Since the role involves creating visualisations, be ready to talk about your experience with Metabase or similar tools. Bring examples of your previous work, and if possible, prepare a portfolio that highlights your best visualisations to demonstrate your ability to turn data into actionable insights.
✨Understand Statistical Thinking
Brush up on your statistical knowledge, as this is crucial for the role. Be prepared to discuss how you apply statistical thinking in your analyses and decision-making processes. This will show your potential employer that you have a solid foundation in data interpretation.
✨Research the Company Culture
Take some time to understand the company’s culture and values. Knowing what they stand for can help you tailor your responses and show how you align with their mission. This will also give you a chance to ask insightful questions, demonstrating your genuine interest in the role.