Analytics Engineer

Currys PLC
Charing Cross, United Kingdom
5 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 64K

Job location

Charing Cross, United Kingdom

Tech stack

Query Performance
Data analysis
Data Dictionary
Data Warehousing
Document Management Systems
Raw Data
Power BI
SQL Databases
Tableau
Snowflake
GIT
Data Management
Looker Analytics
Software Version Control
Databricks

Job description

You will collaborate with analytics, engineering, and product teams to turn raw data into business-ready insights. You will work closely with analysts to understand their requirements and ensure solutions meet their needs. You will partner with platform and operations teams to maintain robust, scalable, and high-performance analytical pipelines. Your role will also involve mentoring colleagues on analytics engineering best practices and contributing to a culture of quality and reusability across the data function.

  • 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

Requirements

  • 2-4 years of experience in a data analyst or analytics engineer role
  • 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 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

Join our team and we'll be with you every step of the way, helping you develop the career you want with new opportunities, on-going training and skills for life.

About the company

At Currys we're united by one passion: to help everyone enjoy amazing technology. As the UK's best-known retailer of tech, we're proud of the service our customers receive - and it's all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing. Tech and Transformation are at the heart of delivering the future vision for Currys. We drive innovation that creates seamless, secure experiences for customers and colleagues - whether migrating to the latest technology, enhancing security, or deploying smart tools to our stores. Using analytics, AI and automation, we generate real value - personalising journeys, improving decision making and unlocking new opportunities. Working across the business, we simplify, streamline and evolve how things get done. And with access to learning platforms, mentoring and career support, you'll grow as fast as the tech we build.

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