Senior Analyst – Data & Analytics

Canon EMEA

. Design, build and maintain sophisticated data pipelines, models and visualisations integrating marketing and sales data with internal and external sources.

Posted 10/28/2026full-timeUxbridge • United KingdomSenior💰 £49,091 - £58,441 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines and models, with proficiency in SQL, Python, and cloud-based data warehousing. Capable of automating data processes and presenting actionable insights through BI tools like Power BI.

Highest-signal resume keywords

SQL ProficiencyGoogle BigQuery ExperiencePower BI DevelopmentPython/R AutomationGit Version Control

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData ModellingData WarehousingAPI IntegrationData ValidationAutomationTransformations in dbtDataform DevelopmentCI/CD ImplementationExploratory Data Analysis

Soft Skills

CollaborationPresentation SkillsProblem-Solving

Tools & Technologies

Google CloudMicrosoft AzurePower BIGitHubBitbucket

Certifications & Qualifications

Bachelor's Degree in STEM

Industry Keywords

Conversational AnalyticsSemantic Layer DesignMarketing Data IntegrationSales Data Integration

Tech Stack

Tools & technologies

AzureBigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Design, build and maintain sophisticated data pipelines, models and visualisations integrating marketing and sales data with internal and external sources.
Automate data collection from platform APIs such as Meta, LinkedIn and TikTok using Google BigQuery and Power BI.
Perform exploratory and ad hoc analysis using Python/R and SQL to identify trends, anomalies and business opportunities.
Present insights and recommendations to key stakeholders.
Create, present and maintain Power BI dashboards, datasets and ad hoc reports.
Automate repetitive data tasks, workflows and processes using Google Cloud and Microsoft Azure.
Develop and optimise scalable data models and build transformations in dbt or Dataform.
Manage code through Git version control, pull requests and CI/CD.
Implement data validation, cleansing, testing and alerting.
Monitor pipelines, review code, resolve failed runs and address root causes of data issues.
Collaborate with IT on upstream changes.
Build and maintain semantic layers enabling Conversational Analytics agents in Google Cloud.

Requirements

What you’ll need

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).

Benefits

Comp & perks

10% bonus
Hybrid working (3 days in office, 2 from home)
Flexible hours
Professional development
Minimum of 25 days of personal holiday per year
Up to 5 days of available holiday purchase
Wide-ranging benefits
Generous pension scheme
Up to 38% discount on Canon products
Great transport links, including Elizabeth Line and Stockley Park low-cost Shuttle Bus
Free parking on site
Support and encouragement for career growth
Investment in professional development
Inclusive and equitable culture
Sustainability initiatives