At a Glance
- Tasks: Design and implement scalable data solutions using Microsoft technologies.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for continuous learning.
- Other info: Mentor junior team members and engage in exciting speaking events.
- Why this job: Make an impact by transforming business needs into cutting-edge data solutions.
- Qualifications: Expertise in SQL, Python, and experience with Azure Data Stack required.
The predicted salary is between 55000 - 65000 £ 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 in London 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. We offer a hybrid working policy that promotes work-life balance, alongside opportunities for mentorship and continuous learning, ensuring you stay at the forefront of data analytics. Join us to be part of a collaborative culture where your contributions are valued, and you can make a meaningful impact on our clients' success.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Consultant: Azure Stack, Power BI in London
✨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 common data modelling techniques and be ready to discuss how you've applied them in real-world scenarios. Practice explaining complex concepts in simple terms to demonstrate your strong communication skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, if you have questions, our recruitment team is just a message away!
We think you need these skills to ace Data & Analytics Consultant: Azure Stack, Power BI in London
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 your ability to engage effectively with stakeholders. Use clear and concise language, and don’t forget to mention any mentoring or leadership experiences you have!
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, you’ll find all the details you need about the position there!
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 and analytics.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed and implemented data solutions. Think about challenges you've faced and how you overcame them, particularly with Azure Data Stack and Power BI.
✨Communicate Like a Pro
Since strong communication is key, practice explaining complex technical concepts in simple terms. This will help you engage effectively with stakeholders and demonstrate your ability to translate business needs into technical solutions.
✨Emphasise Continuous Learning
Highlight your commitment to staying updated in the field of data analytics. Mention any recent courses, certifications, or workshops you've attended, and be prepared to discuss how you plan to keep growing in this fast-evolving industry.
