Associate Analytics Engineer

ASOS; Greater London; On-site; GBP 32,000 - 42,000; Full time

Benefits offered by this job

Employee discount

Employee sample sales

25 days annual leave

Private medical care

Fixed annual payment

Job summary

ASOS is seeking an Associate Analytics Engineer at the start of your career to join our Data & Analytics team in London. You’ll work with Data Engineers to explore, analyse and curate datasets on our ADE and build analytics products with Databricks.

You'll learn through pairing, mentoring and code reviews, contribute to stakeholder conversations, and progressively take ownership as you grow your technical and analytical skills in a collaborative, fast-paced environment.

Qualifications

• Degree in a numerate, technical or analytical subject, or equivalent practical experience.
• Proficiency in SQL with the ability to write and understand queries.
• Some exposure to Python; willingness to learn.
• Interest in modern data platforms such as Databricks or Apache Spark.
• Understanding of data modelling and data warehousing concepts.
• Interest in modern analytics practices: version control, testing and deployment.
• Confidence to ask questions and communicate findings clearly.
• Analytical mindset with attention to detail and collaboration.
• Interest in cloud-based data platforms, especially Azure.

Responsibilities

• Design, build and maintain analytical data models and curated datasets in ADE (Databricks).
• Work with Data Engineers and gradually own deliverables.
• Participate in stakeholder discussions to shape requirements.
• Carry out exploratory analysis and prototyping to test assumptions.
• Evaluate outcomes and business value of solutions.
• Support Product Manager with discovery activities and questions.
• Contribute to data quality through testing and validation.
• Build analytical data products in dbt with CI/CD.
• Document data models, logic and workflows for discoverability.
• Enable Analysts, Data Scientists and BI Developers to build insights from trusted data.

Skills

SQL

Python

Databricks

Azure

Data modeling

Version control

CI/CD

Communication

Education

Numerate/technical degree or equivalent

Tools

Azure Data Factory

Power BI

dbt

Airflow

Fivetran

Git

Job description

Company Description

We're ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement and channel your creativity into a platform used by millions.

We're proud members of Inclusive Companies, are Disability Confident Committed, have signed the Business in the Community Race at Work Charter and placed 8th in the Inclusive Top 50 Companies Employer list.

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

Job Description

About the Role

Data is a key priority for ASOS, and our Data Lakehouse, the ASOS Data Ecosystem (ADE), sits at the centre of how we turn data into insight and action.

This Associate Analytics Engineering role is designed for someone at the beginning of their career. You may be a recent graduate, a career changer, or someone with less than two years of relevant experience.

You'll join a team made up primarily of Data Engineers and, over time, develop into a role that helps connect engineering, stakeholders and product management.

Your initial focus will be hands-on work with data in ADE. You'll help explore, analyse and curate trusted analytical datasets built on top of the pipelines delivered by our Data Engineers. You'll work closely with experienced team members through pairing, mentoring and code review, taking on increasing ownership as your confidence and skills develop.

You'll also support stakeholder conversations and help our Product Manager understand business questions through analysis, evidence and clear documentation.

A significant part of the role involves experimentation and discovery. With support from the team, you'll analyse data, test assumptions, profile datasets and prototype solutions that help shape requirements and decision-making. As you develop, you'll start building analytical-quality data products using the same engineering standards applied across the team, including testing, version control and continuous integration practices.

This role will suit someone who enjoys both analytical problem-solving and working with people. You are curious, enjoy learning, ask thoughtful questions and can communicate findings clearly to technical and non-technical audiences alike.

You do not need to have experience with everything listed below. Training, support and mentoring will be provided, and we encourage applications from people with transferable skills and varied career journeys.

What You'll Be Doing

• Learn to design, build and maintain analytical data models and curated datasets in ADE (Databricks), transforming raw and core data into analysis-ready products.
• Work closely with Data Engineers, learning how the platform, pipelines and tooling fit together while gradually taking ownership of your own deliverables.
• Participate in stakeholder discussions to understand business challenges and help shape requirements through analysis, evidence and documentation.
• Carry out exploratory analysis and prototyping to test assumptions, profile source data and assess feasibility.
• Help evaluate and communicate the outcomes, adoption and business value of delivered solutions.
• Support the Product Manager with discovery activities and ad-hoc business questions.
• Contribute to data quality through testing, validation and monitoring activities.
• Build analytical data products in dbt while learning analytics engineering best practices, including version control, testing, peer review and CI/CD.
• Document data models, business logic and workflows to support discoverability and self-service use of data.
• Enable downstream consumers, including Analysts, Data Scientists and BI Developers, to build reporting and insights on trusted, well-governed datasets.

Qualifications

About You

We're looking for someone with a strong interest in data and analytics, together with a willingness to learn and collaborate.

You may bring:

• A degree in a numerate, technical or analytical subject, or equivalent practical experience. We welcome applications from a variety of educational and career backgrounds.
• SQL skills, including the ability to write and understand queries, and an enthusiasm for continuing to develop those skills.
• Some exposure to Python, although this is not required.
• An interest in modern data platforms such as Databricks or Apache Spark and a willingness to learn them.
• An understanding of data modelling and data warehousing concepts such as tables, joins, facts and dimensions, gained through education, projects, placements or early‑career experience.
• An interest in modern analytics development practices, such as version control, testing, peer review and deployment processes.
• Confidence to ask questions, seek clarification and use evidence to support your recommendations.
• An analytical mindset and the ability to explain findings in a clear and understandable way.
• Attention to detail and a commitment to producing accurate work.
• Strong collaboration and communication skills.
• An interest in cloud-based data platforms, particularly Azure.

Nice to Have

The following are beneficial but not required:

• Exposure to dbt.
• Experience building reports or dashboards using Power BI.
• Experience working in or alongside a product-­led delivery team.
• Familiarity with agile ways of working.
• Exposure to orchestration tools such as Azure Data Factory, Airflow or Databricks Workflows.
• Awareness of Reverse ETL and data integration solutions such as Fivetran.
• Knowledge of DataOps practices.
• Experience in retail and/or e-commerce environments.
• Relevant coursework, personal projects or certifications related to analytics engineering or data engineering.

Support and Development

You'll receive:

• Structured onboarding covering ADE, team tools and business context.
• A buddy during your first months in the role.
• Regular one-to-one support from your manager.
• Ongoing pairing and code review with experienced Data Engineers.
• Dedicated learning time for training, certifications and conferences.
• A clear progression pathway towards an Analytics Engineer role.
• A supportive environment where questions are encouraged and learning is expected.

Additional Information

BeneFITS’

• Employee discount (hello ASOS discount!)
• Employee sample sales
• 25 days paid annual leave + an extra celebration day for a special moment
• Private medical care scheme
• Fixed Annual Payment in addition to your salary each year, it's just an extra thank you from us
• Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role