Design, develop, and maintain reusable, analytics-ready data models within the data warehouse to support reporting and business intelligence. Collaborate with stakeholders to translate business requirements into reliable warehouse structures and efficient transformation logic.
Analytics Engineer
Department: Data
Employment Type: Permanent - Full Time
Location: Remote, UK
Description
As an Analytics Engineer within the Data Warehouse team, you will design, develop and maintain reusable, analytics-ready data models that support reporting, business intelligence and decision-making across ParentPay Group. You will work with complex and sometimes imperfectly documented source systems, translating business requirements into reliable warehouse structures and efficient transformation logic.
You will take ownership of data engineering work from investigation and design through development, testing, deployment and documentation. Working closely with BI colleagues and stakeholders, you will help create trusted, consistent and scalable data assets that reduce duplicated logic and make reporting development easier, faster and more reliable.
Key Responsibilities
Design and develop well-structured, reusable and analytics-ready data models within the data warehouse.
Build and maintain fact and dimension models with clear grain, keys, relationships, business definitions and historical data handling.
Develop complex SQL queries, stored procedures and views to transform and combine data from multiple sources.
Investigate unfamiliar or poorly documented source systems to understand relationships, business rules and data-quality considerations.
Design efficient and maintainable data transformation and loading processes, including incremental load or refresh approaches where appropriate.
Reconcile source data with warehouse outputs, identifying and resolving data-quality or logic issues.
Work with BI colleagues to understand reporting, semantic model and Power BI requirements, ensuring warehouse models are practical for downstream use.
Document data models, transformation logic, assumptions and known limitations clearly and consistently.
Apply testing, source control and development standards to ensure solutions are robust, maintainable and scalable.
Manage priorities, dependencies and delivery risks, communicating progress and raising blockers early.
Skills, Knowledge and Expertise
Strong SQL Server experience, including advanced SQL development, stored procedures, views and performance-aware query design.
Experience designing and developing data warehouse models for reporting and analytics.
Good understanding of dimensional modelling concepts, including facts, dimensions, grain, keys and relationships.
Experience transforming, combining and reconciling data from multiple source systems.
Ability to investigate complex or poorly documented datasets and establish trusted business logic.
Understanding of data quality, testing, documentation and maintainable engineering practices.
Experience working with BI teams, reporting requirements and downstream analytical or semantic models.
Ability to take ownership of work, manage priorities and deliver to agreed timescales.
Clear communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
Experience supporting Power BI reporting, semantic models or other BI and analytics platforms.
Experience working in a SaaS, EdTech, payments or education-focused environment.
Knowledge of source control, deployment processes and data engineering development standards.
Experience improving existing data warehouse logic, reducing duplication and increasing model reusability.
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