Analytics Engineer (Contractual)

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

The Data Led Sales team is a central function within the Product Management division. We build software tools to help the sales teams in the business units sell Viasat services more effectively. We work closely with front line sales teams to understand the sales cycle and build automated solutions that apply automation, big-data, and new analytics. These solutions help the sales teams to understand, anticipate and respond to customer needs effectively and ultimately grow and sustain revenue for the business units. We also partner with a wide range of other teams across the business (in particular with Product Management, Commercial, Data Engineering, Analytics, IT, Platforms & Networks) in order to get a deep understanding of our products and services, and then to build solutions which are seamlessly and effectively integrated into the organizations systems and processes.

The team has a variety of skills and experience in technical domains such as Software development, Automation, Data-pipeline-modelling, IT project management, Data visualisation. We also pride ourselves on our close integration with non-technical / non-data teams as our success comes from effectively working with multiple functional teams.

Although the team was only established around two years our tools are already highly successful and are ‘well-loved’ by the sales teams (and are generating significant incremental revenues for the business units). This role is to help us scale these tools and take them to the next level of impact and maturity across the business. This will be a fast-moving role and the ideal candidate would be able build out new tools quickly while ensuring data quality assurance. This is a fantastic opportunity to work in a team with a ‘start-up’ mentality but with the mandate and resources to truly transform how the organisation uses data to drive value.

The day-to-day

• Own the full back-end data architecture on behalf of the Data Led Sales team
• Create and maintain optimal data pipeline architectures
• Design and implement data quality monitoring and testing frameworks
• Work with customers to define and apply data modeling guidelines and successful strategies.
• Maintain documentation for data models, transformations, and business logic
• Build reusable and maintainable data transformations that support business metrics and KPIs
• Optimise query performance and cost efficiency of data models
• Coordinate effectively with the resources within the team and build relationships with other teams (including the Data Engineering team, the Insights Analytics & Reporting team, Service Assurance, Product teams etc.)
• Mentor and support the team members in analytics/data engineering standard methodologies to ensure the solutions are robust and scalable.
• Willing to work from the London office at least 2 days per week

What you'll need

• Strong SQL skills
• Strong hands-on experience with source code control tools such as Git
• Experience building and orchestrating pipelines in dbt
• Experience with GCP
• Experience with Terraform
• Strong Python skills
• Experience with version control for data models (e.g., dbt testing frameworks, data documentation)
• Demonstrated experience with data modelling concepts (dimensional modelling, star schemas)
• Experience writing efficient and optimised SQL for large-scale data transformations
• Understanding of data warehouse design principles and best practices
• Proactive approach to identifying and resolving data quality issues
• Strong communication skills with both technical and business customers
• Experience with CI/CD pipelines for data transformations
• Experience with data quality and testing tools (Great Expectations, dbt tests)

What will help you on the job

• Experience working within an agile team and familiarity with JIRA
• Degree in a Data Science or Computer Science related discipline
• Experience with end user data and visualisation tools such as Tableau
• Experience working with APIs
• Experience working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools
• Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to derive actionable insights
• Knowledge of data governance and metadata management
• Experience with data cataloguing tools
• Experience mentoring junior team members
• Familiarity with modern data stack tools (Airbyte, Fivetran, etc.)