Analytics Engineer - Growth Analytics

Viasat; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A global technology company in the UK is seeking an Analytics Engineer to develop high-quality data models and support decision making across business segments. This role requires experience with SQL and modern data warehouses, as well as collaboration with both technical and non-technical stakeholders to ensure data quality and transparency in analytics workflows. The ideal candidate is passionate about data solutions and thrives in an Agile environment.

Qualifications

• Strong data modelling principles for scalable data assets.
• Experience in Agile environments focusing on iterative development.

Responsibilities

• Develop high quality data models for analytics.
• Support Agile delivery practices in sprints.
• Document key logic and dependencies in data models.
• Write performant SQL queries for data analysis.

Skills

Advanced SQL skills

Experience with BigQuery, Snowflake or Redshift

Experience with dbt or similar tools

Strong data modelling principles

Experience with Prefect or Airflow

Familiarity with BI tools like Tableau, Looker or Power BI

Good understanding of Python

Ability to communicate with stakeholders

Job description

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

As an Analytics Engineer in Viasat’s Insight, Analytics and Reporting (IAR) team, you will play a key role in building and evolving the analytics layer to power AI-driven insights and advanced decision making across all business segments. Working at the intersection of Data Engineering and stakeholders across commercial and operational teams, you will design and maintain well documented, scalable data models (‘product marts’) that enable the business to access trusted, reusable data assets, setting the foundation for automation, predictive analytics and future AI capabilities.

In this role you will:

• 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 Insights Partners 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 sprint planning, reviews and retrospective, ensuring timely delivery of analytical products.

The day-to-day

Although no two days are the same, you 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 Data Engineering team.
• 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.
• Identify opportunities reducing manual effort and improving consistency across datasets.

What you’ll need

• Advanced SQL skills with experience working in modern data warehouses such as BigQuery, Snowflake or Redshift.
• Hand on experience with dbt, or similar transformation tools.
• Strong data modelling principles, including star schema, OBT 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.
• Experience with BI tools such as Tableau, Looker or Power BI.
• Ability to communicate clearly with both technical and non-technical stakeholders, translating data into business value.
• Good understanding of Python in data applications and when/when not to leverage Python.
• Comfort working in Agile environments, with focus on iterative development, feedback and continuous improvement.

What will help you on the job

At Viasat, we are dedicated to using data as a core enabler. We would love to see someone who:

• Has curiosity and problem-solving mindset, with desire to understand how data support 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.