At a Glance
- Tasks: Design and implement scalable data solutions using Microsoft technologies.
- Company: Dynamic tech firm focused on data analytics and innovation.
- Benefits: Hybrid working policy, competitive salary, and opportunities for continuous learning.
- Other info: Mentor junior team members and engage in exciting speaking events.
- Why this job: Make a real impact by transforming business needs into technical solutions.
- Qualifications: Expertise in SQL, Python, and experience with Azure Data Stack.
The predicted salary is between 50000 - 70000 £ per year.
Requirements
- Expertise in Microsoft Fabric
- Strong skills in SQL, Spark, Python (DAX optional)
- Strong data-modelling background across medallion architecture, Kimball, Star, and Snowflake schema
- Ability to design and denormalize data models for self-service analytics
- Experience with Azure Data Stack (Azure Data Factory, Azure Functions, ADLS Gen2, etc.)
- Knowledge of Databricks
- Experience with Power BI
- Mentor junior team members and foster a culture of continuous improvement
- Define and drive data strategy aligned with business goals
- Growing external visibility (Speaking events, Microsoft relationship, Blogs, Webinars, Free workshops)
- Familiar with DevOps and CI/CD for data solutions
- Degree in Computer Science or related field (preferred)
What the job involves
We are looking for a Data & Analytics Consultant who will be responsible for designing and implementing scalable, secure, and efficient data solutions using Microsoft technologies. This role involves working closely with stakeholders to understand business needs, translating them into technical solutions, and leading the delivery of data platforms and analytics systems.
We operate a hybrid working policy that allows our employees to balance time in the office and time from home. Each team within our organisation can decide how to implement this policy. If you have any questions after applying, please reach out to our recruitment team.
Strong communication skills to effectively engage with customers and convert opportunities into development work.
Commitment to continuous learning and staying at the forefront of data analytics.
Agile approach to balancing time between development and pre-sales activities, adaptable based on the sales pipeline.
Data & Analytics Consultant: Azure Stack, Power BI employer: Advania UK
As a Data & Analytics Consultant at our company, you will thrive in a dynamic and supportive environment that champions innovation and professional growth. With a strong emphasis on continuous learning and mentorship, we offer opportunities to enhance your skills while working with cutting-edge Microsoft technologies. Our hybrid working policy promotes a healthy work-life balance, making us an excellent employer for those seeking meaningful and rewarding careers in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Consultant: Azure Stack, Power BI
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics field, especially those who work with Microsoft technologies. Attend meetups or webinars to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects using Azure Stack, Power BI, and any other relevant tools. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled challenges in data modelling and analytics, and don’t forget to highlight your mentoring experience!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data & Analytics Consultant: Azure Stack, Power BI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your expertise in Microsoft Fabric, SQL, and Power BI. We want to see how your skills align with the job description, so don’t be shy about showcasing your data modelling experience!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how you can contribute to our team. Mention any relevant projects or experiences that demonstrate your ability to design and implement data solutions.
Show Off Your Communication Skills:Since strong communication is key for this role, make sure your application reflects that. Whether it’s through clear language in your CV or engaging storytelling in your cover letter, we want to see how you can effectively engage with stakeholders.
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 gives you a chance to explore more about our company culture!
How to prepare for a job interview at Advania UK
✨Know Your Tech Inside Out
Make sure you brush up on your skills in Microsoft Fabric, SQL, Spark, and Python. Be ready to discuss how you've used these technologies in past projects, especially in relation to data modelling techniques like Kimball and Star schema.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed and denormalised data models for self-service analytics. Think about challenges you've faced and how you overcame them, particularly with Azure Data Stack tools like Azure Data Factory and Databricks.
✨Communicate Effectively
Since strong communication skills are key, practice explaining complex technical concepts in simple terms. Be ready to engage with hypothetical stakeholders during the interview, demonstrating how you'd translate business needs into technical solutions.
✨Emphasise Continuous Learning
Highlight your commitment to staying updated in the field of data analytics. Mention any recent workshops, blogs, or speaking events you've participated in, and express your enthusiasm for mentoring junior team members and fostering a culture of improvement.
