Here’s a Summary Of The Role
The
Data Enablement Team
is responsible for building and maintaining the foundational data infrastructure that powers decision-making across the company. We focus on the ingestion, transformation, and modeling of data. Our goal is to ensure that our data is clean, reliable, and accessible through our centralized data warehouse. By delivering well-structured and trusted datasets, we enable downstream teams such as product, finance, and marketing to own their analytics and reporting independently. We use modern tools like
Snowflake, dbt, and Python
to ensure our data platform is scalable, efficient, and aligned with business needs.
We are looking for a highly skilled
Analytics Engineer
to join our Data Enablement team. In this role, you will
bridge the gap between data engineering and data analysis
by transforming raw data into clean, well-modeled datasets that power business decisions. You’ll work primarily with Snowflake, dbt, and Python to
build scalable data models and maintain a robust analytics infrastructure.
You will be expected to work with stakeholders, gather requirements, and deliver reliable, timely data solutions that meet business needs.
Here’s a breakdown of what you’ll do (not all of it, just the important stuff):
Own the design, development, and maintenance of data models in dbt to transform raw data into usable datasets.
Collaborate directly with business stakeholders to gather requirements, define KPIs, and ensure data solutions meet analytical needs.
Build and maintain data architecture in Snowflake, ensuring accurate that datasets are accurate and usable.
Create and maintain dashboards and other reporting deliverables based on stakeholder needs.
Serve as a key liaison between business units and the data team, translating business questions into technical data solutions.
Monitor data quality and implement testing frameworks to ensure the integrity of analytical outputs.
Create and maintain documentation for data models, metrics definitions, and workflows.
These are the essentials you’ll need to get an interview:
Bachelor’s degree in Computer Science, Data Science, or related field
Proven experience in a technical analytics role
Very good knowledge of SQL and proven experience with Python
Hands-on experience with dbt for data modeling and transformation.
Proficiency with Snowflake or a similar cloud data warehouse platform
Experience with reporting and dashboard tools (Power BI, Tableau, Apache Superset)
Ability to work both independently and in a team-oriented environment
Experience working with large and messy datasets
You enjoy collaborating with other engineers and analysts
Proven ability to manage stakeholders independently, translate business requirements into technical solutions, and communicate findings clearly.
You will always be thinking about new ways you can better solve problems using data
You have great communication skills both written and verbal.
You embrace the YouGov values
It would be great if you had these to, but we’ll support you if you don’t:
Experience with a workflow management system such as Airflow
Experience with RDBMS, NoSQL and graph database technologies
Why join YouGov?
Join our global team to help us achieve our social mission: to make millions of people’s opinions heard for the benefit of our local, national, and international communities.
Understanding diversity of opinion requires diversity of background. Although our global panel of millions of people worldwide powers our research, our biggest asset is our people. If our research is to be truly representative of what the world thinks, we need people from all walks of life to be part of the team to bring their perspective to the work we do.
Life at YouGov
We are driven by a set of shared values. We are fast, fearless, and innovative. We work diligently to get it right. We are guided by accuracy, ethics, and proven methodologies. We respect and trust each other, bringing these values into everything that we do.
We strive to provide YouGovers with best-in-class benefits to support their physical, financial, and emotional wellbeing. We want our employees to have a sense of belonging and uniqueness in a supportive workplace, so they can bring their full selves to work.
Equal Opportunity Employer
As an Equal Opportunity Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity or expression, and sexual orientation), parental status, national origin, marital status, age, disability, genetic information, HIV status, political affiliation, socioeconomic background, veteran status or any other characteristic protected by law or in line with our responsibilities as a fair and ethic employer. All employment decisions are made based on occupational qualifications, merit, and business need.
Data Privacy
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