Benefits & Perks
Summary
Adanola is a direct-to-consumer fashion brand specializing in everyday activewear. The Analytics Engineer builds data pipelines, models, and dashboards to support commercial growth and decision-making.
What You'll Need
- Advanced SQL skills
- Proficiency in Python
- Experience with Power BI, Tableau, or Looker
Job Description
"Application Deadline: 25 January 2026Department: CommercialLocation: Manchester
Description
Our Data team is growing!
The Analytics Engineer is a commercially minded technical partner responsible for designing, building, and maintaining the data structures that assist in powering Adanola’s growth. This role requires high commercial awareness to translate complex commercial questions into robust data models and advanced analytics solutions.
You will own the end-to-end data lifecycle, ensuring that raw data is not only technically sound but also strategically aligned to drive data-driven decision making. You will leverage modern tools, including AI and machine learning, to accelerate development and provide forward looking predictive insights.
Key Responsibilities
Data Modelling: Develop and apply modelling and data analytics solutions to ensure data systems pull together disparate datasets into a unified \"source of truth\".
Insight & Analysis: Drive data-driven decisions through accurate reporting and dashboarding. Leverage AI, knowledge graphs & predictive modelling to identify trends, forecast commercial outcomes (e.g., demand planning, CLV), and provide proactive recommendations.
Pipeline Engineering: Design, build, and maintain robust data pipelines and warehouse structures to support analytics and business intelligence initiatives.
Automation & Efficiency: Advanced use of SQL and Python for data transformation. Utilise AI-assisted coding tools to automate repeatable analysis, optimise code performance, and accelerate the development lifecycle.
Stakeholder Partnership: Work cross-functionally with various teams to understand commercial requirements and translate technical concepts into actionable business requirement and insights.
Governance & Data Ethics: Support data governance and champion high data quality standards. Ensure the ethical and secure use of AI tools in accordance with company data protection policies.
Tool Stack Innovation: Manage the BI tool stack and stay up to date with new technologies and AI advancements to ensure the team remains innovative.
Technical Documentation: Maintain comprehensive documentation for ETL processes, data models, and report specifications to ensure team continuity.
Business Support: Provide Out of Hours support to ensure the business has access to data.
Skills, Knowledge and Expertise
Commercial Awareness: A proven track record of understanding commercial drivers and translating business needs into technical specifications.
Advanced SQL Engineering: Advanced skills in writing complex SQL queries for data extraction, transformation, and analysis.
Programming Proficiency: Ability to work with Python for data transformation and automation tasks.
Advanced Analytics: Experience applying statistical techniques and predictive modelling to solve real-world business problems.
Data Visualisation: Experience using multiple data visualisation tools (e.g., Power BI, Tableau, Looker) to tell a compelling commercial story.
AI Fluency: Familiarity with AI-assisted development tools and an interest in implementing AI features within the data stack to drive efficiency.
Methodology & Principles: Deep understanding of ETL/ELT, data warehouse principles (e.g., Star Schema), and version control.
Systems Experience: Experience of working with multiple data systems is essential for understanding data origins.
Organisation & Communication: Excellent time management and organisational skills, with the ability to translate technical concepts for non-technical stakeholders.
The roles and responsibilities list is not exclusive nor exhaustive and the post holder will be required to undertake such tasks as may reasonably be expected within the scope /level of the role.
Benefits
Why Adanola?
We’re on a mission to become the go-to destination to shop your everyday uniform and we’re looking for talented, positive people to work towards this goal. As the company continues to grow at a fast pace, it’s an exciting time to be part of the journey. So, if you’re passionate, driven, and ready to make a real impact, we’d love to hear from you!
Some of the benefits we offer our employees:
Business-wide bonus structurePrivate Medical InsuranceFlexible workplace (3 days a week in our Manchester office)33 days holiday (inclusive of Bank Holidays)Day off on your Birthday50% staff discount"