Senior Analyst - Data & Analytics
Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Sep 9, 2026. Canon Europe scores A on the Alion truth index.
Canon EMEA is looking for a talented Senior Analyst - Data & Analytics to take ownership of the design, development, and maintenance of robust data pipelines and cloud-based infrastructure across Google Cloud Platform (GCP) and Microsoft Azure.
In this role, you will play a key part in ensuring seamless data integration and accessibility, enabling Canon's ITCG Marketing, eCommerce, and CRM teams to make data-driven decisions and deliver impactful customer and commercial initiatives.
This is an opportunity to join a globally recognised brand where your expertise will directly support marketing effectiveness, customer engagement, and business performance across the EMEA region.
Salary is between£49,091 - £58,441 + 10% bonus and benefits depending on experience and skills.
Data Integration & Development: Design, build and maintain collections of sophisticated data pipelines, models and visualisations that integrate marketing and sales data with other internal and external data sources, including automated collection from platform APIs such as Meta, LinkedIn and TikTok, in Google BigQuery and Power BI to support Canon's ITCG marketing, ecommerce and CRM team initiatives.
Exploratory Analysis & Insights: Perform exploratory and ad hoc analysis using Python/R and SQL to uncover trends, anomalies and business opportunities in ITCG digital marketing and sales data, and present insights and recommendations back to key stakeholders.
Self-Service Reporting: Create, present and maintain Power BI dashboards, datasets and ad hoc reports based on requirements gathered from key stakeholders, delivering actionable insights and supporting data-driven decisions.
Automation & Workflow Optimisation: Identify and automate repetitive data tasks, workflows and processes using Google Cloud and Microsoft Azure platforms, simplifying existing processes and bringing work currently done by agencies and vendors into automated, internally owned processes to improve efficiency and reduce manual data handling.
Data Architecture & Modelling: Develop and optimise data models that support scalable and efficient data storage, processing and retrieval within Google Cloud and Microsoft Azure platforms, building transformations in dbt or Dataform to engineering best practice, with code managed through Git version control, pull requests and CI/CD.
Data Quality & Validation: Implement data validation, cleansing, testing and alerting to ensure data is accurate and reliable before it's used in downstream systems; monitor pipelines, review code, resolve failed runs and data issues at the root cause, and collaborate with IT on any upstream changes required.
Semantic Layers & AI-Enabled Self-Service: Build and maintain the semantic layers that allow Conversational Analytics agents in Google Cloud to interpret data correctly, extending stakeholder self-service across the business.
3+ years experience as a data engineer, data architect or similar role.
Excellent SQL skills.
Understanding of data warehousing, data modelling concepts and structuring new data tables.
Knowledge of cloud-based data warehousing (Google BigQuery).
Bachelor's degree on STEM subject.
Experience developing in a BI tool (Power BI or similar).
Python or R proficiency, particularly in areas of automation and integration.
Experience building transformations in dbt or Dataform.
Experience with Git-based version control (GitHub or Bitbucket), pull requests and CI/CD.
Experience integrating data from third-party APIs (e.g. Meta, LinkedIn, TikTok) Interest in semantic layer design and AI-enabled analytics (e.g. Conversational Analytics in Google Cloud).
Canon Core Behaviours
- Drive for results
- Focus on the Customer
- Take ownership and accountability
- Act as a team player
- Shows courage and conviction
- People orientated
- Caring for self and others