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- Tasks: Design interactive Power BI dashboards and implement Azure data solutions.
- Company: Join a dynamic London-based publishing client making waves in data analytics.
- Benefits: Gain hands-on experience with cutting-edge technologies and flexible work arrangements.
- Why this job: Be part of a team that drives business decisions through actionable insights and innovative solutions.
- Qualifications: Experience with Power BI, Azure services, SQL, and strong analytical skills required.
- Other info: Opportunity to work on cloud migration projects and enhance your tech skills.
The predicted salary is between 48000 - 72000 £ per year.
Power BI & Azure Consultant
Company Overview:
My London based Publishing client is seeking a highly skilled Power BI & Azure Consultant to join their dynamic team.
Role Overview:
As a Power BI & Azure Consultant, you will work closely with our client to separate out the Azure side data collection, processing, and cleaning from the visualisation/Power BI side. You will provide expert guidance, support the development of dashboards and reports, and assist in integrating data platforms to deliver actionable insights that drive business decisions.
Key Responsibilities:
- Design and develop interactive Power BI dashboards and reports, providing key business insights.
- Implement data solutions using Azure services, including Azure Data Factory, Azure SQL, and Azure Synapse Analytics.
- Conduct data modeling, ETL processes, and implement data transformation techniques.
- Work closely with business stakeholders to gather requirements and provide tailored solutions.
- Assist in migrating on-premise reporting solutions to cloud-based Power BI and Azure environments.
- Troubleshoot and optimize existing Power BI reports, dashboards, and Azure data solutions.
- Provide training and support to clients on Power BI best practices and Azure platforms.
- Stay up to date with the latest developments in Power BI, Azure, and data analytics technologies.
Required Skills and Experience:
- Proven experience working with Power BI, including creating dashboards, reports, and data models.
- Strong experience Azure architecture and integration experience from multiple data sources,
- Solid experience with Azure cloud technologies such as Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, Power BI Service, and Azure Analysis Services.
- Strong knowledge of SQL, data integration, and ETL concepts.
- Experience with DAX for creating custom calculations and measures in Power BI.
- Knowledge of data warehousing and cloud architecture.
- Experience in Agile methodologies and project delivery.
- Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues.
- Excellent communication skills, with the ability to work with both technical and non-technical stakeholders.
Desirable Skills:
- Azure architecture and integrations from multiple data sources
Power BI & Azure Consultant - Contract employer: JSS Transform
Contact Detail:
JSS Transform Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Power BI & Azure Consultant - Contract
✨Tip Number 1
Familiarize yourself with the latest features and updates in Power BI and Azure. This will not only help you during the interview but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the Power BI and Azure community. Join relevant forums, attend webinars, or participate in local meetups to connect with others who can provide insights or even referrals for the position.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented Azure services and Power BI solutions. Be ready to explain your role, the challenges faced, and how your contributions led to successful outcomes.
✨Tip Number 4
Showcase your problem-solving skills by preparing examples of complex data issues you've resolved in the past. Highlight your analytical approach and the tools you used to troubleshoot and optimize data solutions.
We think you need these skills to ace Power BI & Azure Consultant - Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI and Azure technologies. Include specific projects where you've designed dashboards, implemented data solutions, or worked with Azure services.
Craft a Compelling Cover Letter: In your cover letter, emphasize your expertise in Azure architecture and your ability to integrate multiple data sources. Mention how your skills align with the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have a portfolio or examples of previous work, include links or descriptions of relevant projects that demonstrate your capabilities in Power BI and Azure. This can set you apart from other candidates.
Highlight Soft Skills: Don't forget to mention your communication skills and experience working with both technical and non-technical stakeholders. These are crucial for the role and can make a significant difference in your application.
How to prepare for a job interview at JSS Transform
✨Showcase Your Power BI Expertise
Be prepared to discuss specific projects where you've created dashboards and reports using Power BI. Highlight your experience with DAX and how you've used it to create custom calculations, as this will demonstrate your technical proficiency.
✨Demonstrate Azure Knowledge
Familiarize yourself with Azure services relevant to the role, such as Azure Data Factory and Azure Synapse Analytics. Be ready to explain how you've implemented these technologies in past projects and how they can be leveraged for data solutions.
✨Communicate Effectively with Stakeholders
Since the role involves working closely with business stakeholders, practice articulating complex technical concepts in a way that non-technical individuals can understand. This will showcase your communication skills and ability to bridge the gap between technical and non-technical teams.
✨Prepare for Problem-Solving Scenarios
Expect to encounter questions that assess your analytical and problem-solving skills. Prepare examples of how you've troubleshot complex data issues in the past, focusing on your thought process and the steps you took to resolve them.
