Data and Analytics Consultant

Data and Analytics Consultant

Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
Advania UK

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 data modelling; degree preferred.

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 and Analytics Consultant employer: Advania UK

As a Data and Analytics Consultant with us, you'll thrive in a dynamic work environment that champions innovation and continuous learning. Our hybrid working policy promotes a healthy work-life balance, while our commitment to employee growth ensures you have ample opportunities to mentor others and enhance your skills through engaging projects and external visibility initiatives. Join us to be part of a collaborative culture that values your contributions and supports your professional journey in the exciting field of data analytics.

Advania UK

Contact Details:

Advania UK Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data and Analytics Consultant

Tip Number 1

Network like a pro! Reach out to your connections in the data and analytics field. Attend meetups, webinars, or even local events to meet potential employers and showcase your skills. Remember, it’s all about who you know!

Tip Number 2

Show off your expertise! Create a portfolio that highlights your projects using Microsoft Fabric, SQL, and Power BI. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.

Tip Number 3

Prepare for those interviews! Brush up on your technical knowledge, especially around data modelling and Azure Data Stack. Practice common interview questions and be ready to explain how you've used your skills in real-world scenarios.

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, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data and Analytics Consultant

Microsoft Fabric
SQL
Spark
Python
Data Modelling
Medallion Architecture
Kimball

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your expertise in Microsoft Fabric, SQL, and Python. We want to see how your skills align with the job description, so don’t be shy about showcasing your data-modelling background!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain how your experience with Azure Data Stack and Power BI makes you the perfect fit for our team. Let us know why you're excited about this role!

Show Off Your Communication Skills:Since strong communication is key for this role, make sure your application reflects that. Whether it's your CV or cover letter, keep it clear, concise, and engaging. We want to see how you can connect 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’s super easy – just a few clicks and you’re done!

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 designing data models and implementing analytics solutions.

Showcase Your Data Modelling Expertise

Prepare to talk about your experience with different data modelling techniques like Kimball, Star, and Snowflake schema. Have examples ready that demonstrate how you've designed and denormalised data models for self-service analytics.

Communicate Effectively

Since strong communication skills are key, practice explaining complex technical concepts in simple terms. Think about how you can engage stakeholders and translate their business needs into actionable data strategies.

Emphasise Continuous Learning

Highlight your commitment to staying updated in the field of data analytics. Share any recent learning experiences, such as attending workshops or speaking at events, to show you're proactive about your professional development.