Senior Analytics Engineer in London
Senior Analytics Engineer

Senior Analytics Engineer in London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
Viasat

At a Glance

  • Tasks: Transform raw data into clean datasets and develop scalable data solutions.
  • Company: Join Viasat, a global leader in communication technology.
  • Benefits: Competitive salary, inclusive culture, and opportunities for growth.
  • Other info: Collaborative environment focused on continuous improvement and innovation.
  • Why this job: Make a real impact by solving global challenges with data.
  • Qualifications: Advanced SQL skills and experience with data modelling and orchestration tools.

The predicted salary is between 43200 - 72000 £ per year.

About us

One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.

What you'll do

  • Develop high quality data models that transform raw data into clean, analytics-ready datasets using tools like SQL, Python, dbt, BigQuery and Prefect.
  • Work closely with the Data Product Owner and our product stakeholders to understand data requirements and translate business and analytical needs into scalable ‘product marts’.
  • Implement and maintain data quality checks, documentation and version control to ensure reliability and transparency in analytics workflows.
  • Support Agile delivery practices by participating in refinement and prioritisation exercises and taking ownership of your own work backlog to ensure timely delivery of analytical products.

The day-to-day

  • Write performant SQL queries to build and enhance datasets used for business dashboard, reporting and analysis.
  • Design and lead the development of flexible, scalable data solutions that meet immediate business needs, support AI integration and adapt to evolving future developments.
  • Investigate and resolve data issues by debugging pipelines, validating data outputs and collaborating with source system teams.
  • Document key logic, assumptions and dependencies within your data models to ensure they are understandable and maintainable.
  • Work across teams to prioritise work based on business impact and support end users in accessing and understanding the data.
  • Seek opportunities to reduce manual effort and improve consistency across datasets.

What you'll need

  • Advanced SQL skills with experience working in modern data warehouses particularly GCP BigQuery.
  • Familiarity with the Software Development lifecycle, data quality frameworks, system observability, and experience with source control tools like GitHub.
  • Hands on experience with dbt or similar transformation tools.
  • Strong data modelling principles, including star schema, and best practices for building scalable data assets that can be used in BI and other user facing tools.
  • Experience working with data pipeline orchestration tools like Prefect or Airflow and comfortable working with Python for data orchestration.
  • Ability to communicate clearly with both technical and non-technical stakeholders, translating data into business value.
  • Comfort working in Agile environments with focus on iterative development, feedback and continuous improvement.

What will help you on the job

  • Has a curious and problem-solving approach, comfortable taking ownership and accountability, and with a desire to understand how data supports our products and commercial goals.
  • Has passion for building clean, efficient and well documented data solutions.
  • Is willing to share knowledge and support colleagues, especially in tools like dbt, SQL and best practices for data model development.
  • Has a growth mindset, embracing change and supporting colleagues as we continue to grow as a team.

EEO Statement

Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic.

Senior Analytics Engineer in London employer: Viasat

At Viasat, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to think big and act fearlessly. As a Senior Analytics Engineer, you will have the opportunity to work with cutting-edge technologies in a collaborative environment that values continuous learning and growth. With a commitment to employee development and a focus on delivering impactful solutions, Viasat offers a unique chance to contribute to global challenges while advancing your career in a supportive setting.
Viasat

Contact Detail:

Viasat Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Analytics Engineer in London

✨Tip Number 1

Network like a pro! Reach out to current employees at Viasat on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior Analytics Engineer role. Personal connections can make a huge difference!

✨Tip Number 2

Prepare for the interview by brushing up on your SQL and Python skills. Practice writing queries and building data models that could be relevant to Viasat's needs. Show us you can think big and act fearlessly with your technical prowess!

✨Tip Number 3

Don’t just focus on your technical skills; be ready to discuss how you can create an inclusive environment. Think about examples from your past where you’ve contributed to team dynamics or supported colleagues. We love candidates who can foster collaboration!

✨Tip Number 4

Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our mission to deliver connections that change the world. Let’s make an impact together!

We think you need these skills to ace Senior Analytics Engineer in London

Advanced SQL
GCP BigQuery
Data Modelling Principles
dbt
Data Pipeline Orchestration
Python
Agile Methodologies
Data Quality Frameworks
GitHub
Communication Skills
Problem-Solving Skills
Documentation Skills
Collaboration Skills
Adaptability

Some tips for your application 🫡

Show Off Your SQL Skills: Make sure to highlight your advanced SQL skills in your application. We want to see how you've used SQL in real-world scenarios, especially with GCP BigQuery. Don’t just say you know it; give us examples of how you’ve built and enhanced datasets!

Talk About Your Data Modelling Experience: We love a good data model! Share your experience with data modelling principles, especially star schema. Let us know how you've built scalable data assets that can be used in BI tools. This is your chance to shine!

Emphasise Your Agile Mindset: Since we work in Agile environments, it’s important to show us that you’re comfortable with iterative development and feedback. Mention any experiences where you took ownership of your work backlog and how you prioritised tasks based on business impact.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Viasat!

How to prepare for a job interview at Viasat

✨Know Your Tools Inside Out

Make sure you’re well-versed in SQL, Python, dbt, and BigQuery. Brush up on your skills and be ready to discuss how you've used these tools in past projects. Being able to share specific examples will show that you can hit the ground running.

✨Understand the Business Impact

Before the interview, take some time to research Viasat and its mission. Think about how your data solutions can drive business value and be prepared to discuss how you would approach translating data requirements into actionable insights for stakeholders.

✨Showcase Your Problem-Solving Skills

Be ready to talk about a time when you faced a data issue and how you resolved it. Highlight your debugging process and how you collaborated with teams to ensure data quality. This will demonstrate your analytical mindset and ability to work under pressure.

✨Emphasise Your Agile Experience

Since the role involves Agile practices, come prepared to discuss your experience in Agile environments. Share examples of how you’ve participated in refinement exercises or managed your own backlog, showcasing your ability to adapt and deliver in a fast-paced setting.

Senior Analytics Engineer in London
Viasat
Location: London

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