Analytics Engineer; Hybrid Data Pipelines & Revenue Tools

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.

Our team builds data-driven products that directly drive Viasat's revenue growth by transforming how our sales teams operate. We create innovative data and software tools that sales teams use to close more deals and identify new opportunities.

As the main data owner for our 5-person team, the candidate will architect and own the complete data infrastructure that powers these revenue-generating tools. They'll have the unique opportunity to work at the intersection of advanced analytics engineering, product strategy, and commercial impact. This role involves designing scalable data pipelines, building robust data models, and creating the technical foundation that enables our tools to process massive datasets and deliver real-time insights to sales teams.

The candidate will lead technical architecture decisions while partnering closely with stakeholders to translate complex sales requirements into scalable data solutions. They'll mentor team members on analytics engineering best practices, ensuring our rapidly growing suite of tools maintains enterprise-grade performance and reliability. This role offers direct exposure to how technical data architecture decisions translate into measurable revenue impact - seeing their pipeline optimizations directly improve sales team productivity and deal closure rates.

With our tools already generating significant incremental revenues and being “well-loved” by sales teams, this is an opportunity to scale proven solutions from successful prototypes to enterprise-wide platforms that transform how Viasat uses data strategically across the organization.

Our work directly impacts Viasat's bottom line, currently generating significant incremental contracted revenues. The data products we build help sales teams identify the right prospects faster and close deals more efficiently cross BU.

When we integrate new tools into sales workflows or deploy AI-driven lead identification, it translates into shorter sales cycles and higher win rates. This means sales professionals spend less time on manual research and more time focused on high-value activities that drive results.

Our tools also improve how Viasat's partner organizations operate, extending our reach and effectiveness across the broader sales ecosystem.

The candidate will collaborate most closely with their immediate Data Led Sales team of 5, mentoring team members on analytics engineering best practices. They'll work extensively with the wider Growth Analytics team to ensure alignment on data modeling standards and shared analytical frameworks.

Regular collaboration with centralized data teams includes the Data Engineering team for infrastructure integration and pipeline orchestration.

The candidate will join strategic discussions with commercially focused teams including Sales Operations and Market Intelligence teams. These interactions provide crucial business context for data modeling decisions and help translate technical capabilities into commercial opportunities.

The hybrid nature of the role (2 days in London office) ensures regular face-to-face collaboration with both analytics colleagues and commercial stakeholders while maintaining flexibility for focused technical development work.

The candidate will regularly monitor data pipeline health and quality metrics to ensure our sales tools have reliable, accurate data. They'll spend time coding in SQL and Python to build data transformations, optimize complex queries processing large customer datasets, and create data models that power custom applications, websites, analytical dashboards, and automated lead generation systems.

T…