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- Tasks: Maintain data stacks and develop ETL processes using AWS and Power BI.
- Company: Dynamic consulting firm based in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a forward-thinking team and enhance your skills in data analysis and governance.
- Qualifications: Proficiency in SQL, Python, and experience with BI dashboards required.
- Other info: Ideal for tech-savvy individuals looking to make an impact in data analytics.
The predicted salary is between 36000 - 60000 £ per year.
A consulting firm based in Greater London is searching for an experienced Business Analyst with strong AWS (Lambda) and Power BI skills. The role involves maintaining data stacks, developing ETL processes, and ensuring data quality across platforms.
Candidates should demonstrate proficiency in SQL and Python, with experience in BI dashboards and data governance being critical. The ideal candidate will also have knowledge of MS Fabric and Power Platform.
Please send your CV for consideration.
AWS Data Analyst — BI & ETL Specialist (Power BI, Snowflake) employer: GMA Consulting
Contact Detail:
GMA Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Analyst — BI & ETL Specialist (Power BI, Snowflake)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AWS or BI tools. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with Power BI and ETL processes. This visual proof of your abilities can really set you apart from other candidates.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past projects, as real-world examples can make a big impact.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are eager to join us. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace AWS Data Analyst — BI & ETL Specialist (Power BI, Snowflake)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AWS, Power BI, and SQL skills. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Showcase Your Technical Skills: Since this role is all about data, let’s see your proficiency in Python and ETL processes. Include specific examples of how you've used these skills in past roles to maintain data quality and develop dashboards.
Keep It Clear and Concise: We appreciate clarity! Use bullet points and straightforward language to make your application easy to read. Highlight key achievements and responsibilities without overwhelming us with too much detail.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at GMA Consulting
✨Know Your Tech Inside Out
Make sure you brush up on your AWS (Lambda), Power BI, SQL, and Python skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your ETL Expertise
Prepare to talk about your experience with developing ETL processes. Have examples ready that demonstrate your ability to maintain data stacks and ensure data quality across platforms. This will show the firm that you can hit the ground running.
✨Demonstrate Your BI Dashboard Skills
Bring along examples of BI dashboards you've created or worked on. Discuss the tools you used and the impact your dashboards had on decision-making. This will highlight your practical experience and understanding of data governance.
✨Familiarise Yourself with MS Fabric and Power Platform
Even if you haven't worked extensively with MS Fabric or Power Platform, do some research. Being able to speak knowledgeably about these tools will impress the interviewers and show your commitment to learning and adapting.
