Viasat, Inc.
Senior Analytics Engineer

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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
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


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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.
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