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For Companies At a Glance
- Tasks: Create and manage Power BI dashboards while enhancing data quality and automation.
- Company: Join a leading, award-winning professional services organisation in the heart of London.
- Benefits: Enjoy a competitive salary, flexible work arrangements, and a vibrant office culture.
- Why this job: Be part of a growing team that values innovation and collaboration in data analysis.
- Qualifications: Strong skills in Power BI, Power Automate, SQL, and Python are essential.
- Other info: This is a permanent role with a hybrid work model, 3 days in the office.
The predicted salary is between 30000 - 40000 £ per year.
Morgan Hunt are working with a leading professional services organisation who are looking for a Data Analyst with strong Power BI & Power Automate experience based in the City of London. This is a permanent position with a growing organisation in the professional services industry, and they are ideally looking for someone who comes from that background.
Key Responsibilities:
- Develop and maintain Power BI dashboards
- Support data warehouse implementation and management
- Build integrations using Power Automate, APIs, etc.
- Improve and monitor data quality
- Support NLP for document analysis
- Collaborate across teams to identify automation opportunities
- Document data flows and support CRM data (FibreCRM)
Essential Skills:
- Strong skills in Power BI, Power Automate
- Experience with Microsoft Copilot
- Proficiency in SQL and Python
- Experience in data modeling and warehouse concepts
- Knowledge of API integration
- Clear communicator with strong problem-solving abilities
£35,000 - £40,000 per year
City of London based - 3 days per week in the office
Permanent position
Power BI/ Power Automate Data Analyst employer: Morgan Hunt
Contact Detail:
Morgan Hunt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Power BI/ Power Automate Data Analyst
✨Tip Number 1
Familiarise yourself with the latest features of Power BI and Power Automate. Being up-to-date with the tools will not only boost your confidence but also allow you to showcase your knowledge during interviews.
✨Tip Number 2
Network with professionals in the data analysis field, especially those working in professional services. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 3
Prepare to discuss specific projects where you've used SQL and Python effectively. Be ready to explain your problem-solving approach and how you’ve improved data quality in past roles.
✨Tip Number 4
Research the company culture and values of the organisation you're applying to. Tailoring your conversation to align with their mission can make a strong impression during interviews.
We think you need these skills to ace Power BI/ Power Automate Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI and Power Automate. Include specific projects or achievements that demonstrate your skills in these areas, as well as your proficiency in SQL and Python.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in professional services to the role. Mention how your skills can contribute to developing and maintaining Power BI dashboards and improving data quality.
Showcase Relevant Experience: In your application, emphasise any previous roles where you supported data warehouse implementation or built integrations using APIs. This will show that you have the practical experience needed for the position.
Highlight Soft Skills: Don't forget to mention your communication and problem-solving abilities. These are essential for collaborating across teams and identifying automation opportunities, which are key responsibilities of the role.
How to prepare for a job interview at Morgan Hunt
✨Showcase Your Power BI Skills
Prepare to discuss specific Power BI projects you've worked on. Be ready to explain how you developed and maintained dashboards, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your Automation Knowledge
Highlight your experience with Power Automate and API integrations. Share examples of how you've built integrations or automated processes in previous roles, focusing on the impact it had on efficiency.
✨Communicate Clearly
As a Data Analyst, clear communication is key. Practice explaining complex data concepts in simple terms. Be prepared to discuss how you collaborate with teams to identify automation opportunities.
✨Prepare for Technical Questions
Expect questions on SQL, Python, and data modelling. Brush up on these skills and be ready to solve problems on the spot, demonstrating your analytical thinking and problem-solving abilities.
