Analyst – Data & Analytics

Company: Canon
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Job Description:

Overview

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure in Google Cloud and Azure to support Canon’s ITCG marketing and CRM initiatives. You’ll collaborate with cross-functional teams to integrate marketing, ecommerce and sales data, turning data into insights for leadership. You’ll ensure data quality and scalable architectures while enabling data-driven decision making. This role offers the chance to shape data solutions across marketing and CRM, contributing to Canon’s data-driven growth and customer focus.

Pay / Benefits

  • hybrid working (3 days in office, 2 from home)
  • flexible hours
  • professional development
  • 25 days of holiday (plus up to 5 holiday purchase)
  • pension scheme
  • discount on Canon products up to 38%

Responsibilities

  • Design, build, and maintain data pipelines, models, and visualisations that integrate marketing and sales data with other sources (BigQuery, Power BI)
  • Conduct exploratory analysis with SQL/Python/R to identify trends and opportunities and present findings to stakeholders
  • Deliver BI reports and dashboards for Senior Leadership and cross-functional teams
  • Develop and optimise data models for scalable storage and processing in Google Cloud and Azure
  • Implement data quality checks and cleansing processes and collaborate with IT on upstream changes
  • Analyze customer journeys across ECOM and Marketing B2C sites and identify improvements

Key requirements

  • 1 year experience as data engineer/architect or 3+ years as data analyst
  • Excellent SQL skills
  • Understanding of data warehousing, data modelling concepts, and structuring new data tables
  • Experience or familiarity with data cleaning and data quality checks
  • Bachelor’s degree
  • Experience with Google Cloud Platform or Microsoft Azure (BigQuery / data services) is advantageous
  • Drive for results
  • Customer focus
  • Ownership and accountability
  • SQL
  • Data warehousing and data modelling
  • Python or R for automation and integrations

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Posted: October 24th, 2026