Analytics Engineer

Dixons Carphone; Greater London; Hybrid; GBP 60,000 - 95,000; Full time

Benefits offered by this job

Hybrid working

Job summary

Currys is seeking an Analytics Engineer to join our Waterloo-based team with hybrid working. You will develop and maintain dbt models, ensure data quality, and optimise performance to deliver trusted datasets for analytics and BI.

You will collaborate with data engineers and business teams to translate requirements into scalable solutions, build dashboards, and enable self-service analytics across the organisation.

Qualifications

• Degree in Computer Science, Analytics or related technical field is desirable.
• dbt certification beneficial and analytics platform knowledge is a plus.
• Experience with Snowflake/Databricks or similar platforms recommended.

Responsibilities

• Develop and maintain dbt models transforming raw data into trusted analytics datasets.
• Implement data quality tests and monitoring for accuracy and reliability.
• Optimise query performance with dimensional modelling and materialisation strategies.
• Document data models, KPIs, and metrics definitions in data dictionaries.
• Build reusable data models to support self-service analytics.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Work with data engineers to define requirements for new sources and pipelines.
• Perform exploratory data analysis to identify trends and anomalies in business performance.
• Create interactive dashboards and reports for self-service analytics.
• Design visualisations to communicate complex data stories clearly to technical and non-technical audiences.

Skills

SQL

dbt

Dimensional modelling

Data warehousing

Git workflows

Data quality testing

Snowflake

Databricks

BI tools

Communication

Education

BSc in CS/Analytics or related field

dbt certification beneficial

Tools

Looker/Omni/Tableau/Power BI

Job description

Analytics Engineer

Waterloo - Hybrid Working

Full Time

Permanent

Grade 4

Role overview:

• Develop and maintain dbt models that transform raw data into trusted datasets for analytics and business intelligence
• Implement data quality tests and monitoring to ensure accuracy and reliability
• Optimise query performance using effective data modelling and materialisation strategies
• Establish and maintain documentation and data dictionaries for analytical models, KPI definitions and metrics frameworks
• Support self-service analytics by building reusable, high-quality data models
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Collaborate with data engineers to define requirements for new data sources and pipelines
• Conduct exploratory data analysis to identify trends, patterns, and anomalies in business performance
• Build interactive dashboards and reports that empower self-service analytics
• Design visualizations that clearly communicate complex data stories to both technical and non-technical audiences

What you'll bring:

• Strong SQL skills with experience in complex data transformations, CTEs, and window functions
• Expertise with dbt and modern analytics engineering tools
• Solid understanding of dimensional modelling and data warehousing concepts
• Experience with Git-based workflows for version control and collaboration for analytics
• Knowledge of data testing frameworks and quality assurance practices
• Experience with Snowflake, Databricks, or similar data platforms
• Proficiency in Omni, Looker or similar BI tools (Tableau, Power BI)
• Strong analytical thinking and problem-solving abilities
• Excellent communication skills with ability to present findings to diverse audiences

Experience Required:

• 2-4 years of experience in a data analyst or analytics engineer role
• Degree in Computer Science, Analytics, or a related technical field highly desirable
• dbt & Analytics platform certification beneficial

Every voice has a space at our table and we’re committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce. We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email [e-mail] and we’ll do our best to help.