Analytics Engineering jobs and careers

Analytics engineering bridges the gap between data engineering and data analysis. By transforming raw data into clean, reliable, well-documented datasets, analytics engineers make data more accessible and usable for business intelligence, reporting, and decision-making. It ensures that stakeholders (technical or otherwise) can trust and act upon high-quality, well-structured data.

For more about Analytics Engineering, please review our blogs on this topic:

Part one: Analytics Engineering: Modern Data Teams
Part two: The Rise of Analytics Engineers: The Modern Data Stack
Part three: Key Skills and Tools for Analytics Engineers: Building the Future of Data
Part four: The Power Trio: DBT, Looker, and Snowflake in Analytics Engineering
Part five: Here’s Why Companies Should Hire Analytics Engineers

Why consider a career in Analytics engineering ?

With the increasing demand for data-driven decision-making, analytics engineering has emerged as a crucial role within modern data teams – they’re becoming more and more popular, with many companies adopting new AE teams or individuals.

It offers exciting opportunities to work across both technical and strategic areas, combining engineering practices with analytical insight. For those passionate about data quality, modelling, and enabling data use at scale, it’s a rewarding and fast-evolving career path.

What are typical Analytics engineering job titles?

  • • Analytics Engineer
    • Data Analytics Engineer
    • BI Engineer (Business Intelligence Engineer)
    • Data Engineer, Analytics
    • Analytics Data Engineer
    • Data Platform Engineer (Analytics-focused)
    • Reporting Engineer
    • Data Insights Engineer
    • Data Modeling Engineer
    • ETL Engineer (if heavily focused on pipelines for analytics)
    • Senior Analytics Engineer
    • Lead Analytics Engineer
    • Principal Analytics Engineer
    • Staff Analytics Engineer
    • Head of Analytics Engineering
    • Analytics Engineering Manager
    • Director of Analytics Engineering
    • Analytics Infrastructure Engineer
    • Data Platform Engineer (Analytics-focused)
    • Analytics Pipeline Engineer

Analytics Engineering: Career Progression Example

  • Analytics Engineer
  • Senior Analytics Engineer
  • Lead Analytics Engineer
  • Head of Analytics Engineering
  • Data Architect / Analytics Engineering Manager

Analytics Engineering Salary Benchmarks

View our Data, Insight and Analytics within Engineering and Development Salary Guide

View all Data, Insight & Analytics salary guides

Analytics Engineering: Is It Right for Me? The Skills It Takes…

Analytics engineers require a blend of engineering acumen, data modelling capability, and strong communication skills. Key skill areas include:

Engineering & Technical Skills: Data Modelling (Star and Snowflake Schemas) | Snowflake | Looker | dbt | Airflow | ELT Pipelines | Fivetran | Advanced SQL | Cloud Data Warehouses including BigQuery, Snowflake, and Redshift | Git and Version Control | CI/CD for Data Workflows | Testing and Documentation of Data Pipelines | Data Lineage and Metadata Management

Analytical & Communication Skills: Translating Business Logic into Data Models | Collaboration with Analysts and Stakeholders | Clear and Concise Documentation, including Data Dictionaries | Strong Data Literacy and Identification of Data Quality Issues | Communicating Insights and Trade-offs to Non-Technical Audiences

Tooling & Platform Knowledge: dbt (Data Build Tool) | Looker, Tableau, and Power BI (for validation and collaboration) | SQL-based Transformation Tools | GitHub and GitLab for Workflow and Collaboration | Cloud Platforms including GCP, AWS, and Azure

What qualifications do you need for a career in Analytics engineering?

Most employers look for a Bachelor’s degree (or equivalent) in a technical or analytical subject such as Computer Science, Data Science, Mathematics, or Statistics. However, due to the emerging nature of the role, individuals with relevant experience in data analysis, data warehousing, or data engineering – especially those who’ve gained hands-on experience with the modern data stack (dbt, Looker, Snowflake) – are also well-placed to move into analytics engineering roles.

Our Data, Insight & Analytics recruitment team

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    Data, Insight & Analytics

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Data, Insight & Analytics Salary guides:

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    Data, Insight and Analytics Salary Guide

    Average salaries and day rates typically received for Data, Insight and Analytics roles.

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    Data, Insight and Analytics Day Rate Guide

    Average salaries and day rates typically received for Data, Insight and Analytics roles.