Senior Analytics Engineer

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.

This is a site-based role, employees work 3+ days (60%+) per week from a Viasat office or work location within a standard five-day workweek.

The day-to-day

Although no two days are the same, this role will:

• 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. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.

Although no two days are the same, this role will:

• 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.

• 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.