Analytics Engineer

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 youll do

As an Analytics Engineer, you will build and extend our demand forecasting platform, modeling satellite bandwidth requirements across Maritime, Aviation, Enterprise, and emerging Direct-to-Device (D2D) markets. Youll translate business questions into scalable data pipelines, working through iterative cycles of data interpretation and assumption refinement. Youll turn ambiguous forecasting challenges into production-quality analytical tools-and just as importantly, help stakeholders understand what the data is (and isnt) telling them.

Reporting to the Director, Commercial Business Analytics, youll operate at the intersection of business strategy and data engineering-close enough to internal customers to understand the why behind the models, and close enough to engineering to ensure your work can be productionized and scaled. Your forecasting outputs feed directly into capacity feasibility analyses run by engineering teams, making the handoff relationship critical.

The day-to-day

Build and maintain demand forecasting pipelines using Python, SQL, and modern orchestration tools (Dagster, dbt, BigQuery) Extend forecasting models to new business units and services through configurable, testable code - in many cases where no existing baseline exists Partner with Business Unit leaders to translate forecasting needs into data models Build data structures with engineering handoff in mind-balancing analytical flexibility with the conventions and standards that enable smooth transition to production systems Validate model outputs and refine assumptions based on business feedback Interpret forecasting outputs in business context-identifying where model results challenge assumptions, surfacing data quality issues, and recommending adjustments to input parameters based on observed patterns Work with 3rd party industry data to understand total global vertical demand and translate this into demand in targeted geographies Document methodologies, assumptions, and maintain clear data lineage Deliver regional and scenario-based demand projections Collaborate with engineering teams who consume forecasting outputs for capacity planning, ensuring data formats, assumptions, and methodologies are well-documented and aligned with downstream systems Work closely with colleagues to develop forecasting requirements, pressure-test assumptions, and evolve models as the business uncovers new questions

What youll need

Bachelor's degree in a quantitative field 3-5 years of experience in analytics or data engineering Experience interpreting analytical outputs for business audiences-not just building models, but explaining what the results mean and where assumptions may need revisiting Strong SQL and cloud warehouse experience Python proficiency (pandas, numpy) Ability to structure ambiguous business problems Experience building maintainable, scalable data pipelines Strong communication skills Comfort in fast-paced environments

What will help you on the job

Master's degree or equivalent experience in a quantitative field Experience working alongside engineering teams to transition analytical models into production infrastructure Satellite, telecom, or aviation industry experience Familiarity with Dagster, Airflow, and dbt Demand forecasting or capacity planning experience Geospatial data exposure (H3, Kepler.gl) Experience transitioning analytics into production systems

Salary range

$85,500.00 - $135,000.00 / annually. For specific work locations within San Jose, the San Francisco Bay area, and New York City metropolitan area, the base pay range for this role is $104,500.00- $156,500.00/ annually. At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat's comprehensive benefit offerings that are focused on your holistic health and wellness at https://careers.viasat.com/benefits.

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 online application, please click here.