Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive data-driven decisions and lead insight extraction from datasets.
- Company: Leading data consultancy in the UK with a strong humanitarian mission.
- Benefits: Competitive salary, flexible working, and comprehensive development opportunities.
- Why this job: Make a real impact while working with cutting-edge data technologies.
- Qualifications: Expertise in Power BI, SQL, Python or R, and experience with AWS and Snowflake.
- Other info: Hybrid role with excellent career growth potential.
The predicted salary is between 45000 - 63000 £ per year.
A leading data consultancy in the UK is seeking a Senior Data Analyst to drive data-driven decision-making with a strong humanitarian mission. This hybrid role requires expertise in Power BI, SQL, Python or R, and experience with AWS and Snowflake.
You will lead insight extraction from datasets, develop data pipelines, and contribute to predictive modelling initiatives.
Expect a competitive salary of £45,000 per annum and great benefits including flexible working arrangements and comprehensive development opportunities.
Senior Data Analyst - Hybrid (Power BI, SQL, AWS) in London employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Hybrid (Power BI, SQL, AWS) in London
✨Tip Number 1
Network like a pro! Reach out to people in the data consultancy field, especially those who work with Power BI and AWS. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with SQL, Python, or R. This is your chance to demonstrate how you can drive data-driven decision-making and make an impact.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you've extracted insights from datasets and contributed to predictive modelling initiatives in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior Data Analyst - Hybrid (Power BI, SQL, AWS) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI, SQL, and AWS. We want to see how your skills align with our mission, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data analysis and how you can contribute to our humanitarian mission. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role requires expertise in Python or R, make sure to mention any relevant experience you have. If you've worked on predictive modelling or data pipelines, give us the details – we want to know what you can bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, SQL, and any programming languages like Python or R. Brush up on your AWS and Snowflake knowledge too. Being able to discuss specific projects where you've used these tools will show your expertise and confidence.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex data challenges in the past. Think of examples where your insights led to significant decisions or improvements. This will demonstrate your ability to drive data-driven decision-making, which is key for this role.
✨Understand the Humanitarian Mission
Since the company has a strong humanitarian mission, do some research on their values and how they apply data analysis to make a difference. Be ready to share how your personal values align with theirs and how you can contribute to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and how success is measured in this role. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you.
