At a Glance
- Tasks: Design and maintain data pipelines and cloud infrastructure for impactful marketing insights.
- Company: Join Canon, a globally recognised brand with a commitment to innovation and sustainability.
- Benefits: Enjoy hybrid working, flexible hours, competitive salary, and generous holiday perks.
- Other info: Great career growth opportunities and a culture that values inclusion and personal development.
- Why this job: Make a real impact on data-driven decisions in a diverse and energetic team.
- Qualifications: 3+ years in data roles, strong SQL skills, and proficiency in Python or R.
The predicted salary is between 49091 - 58441 £ per year.
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.
Responsibilities
- 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.
Qualifications
- 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
About Us
At Canon, we've been inspiring people to capture and share their world for over 85 years. As a global leader in imaging and innovation, we're driven by bold ideas, collaboration, and a commitment to making a positive impact. With a strong presence across EMEA for over 60 years, our regional HQs in London and Amstelveen support operations in 120+ markets. We're proud of our diverse, inclusive culture and our philosophy of Kyosei - living and working together for the common good.
Why Join Us?
- Be part of a diverse, energetic team, joining 50+ nationalities at our EMEA HQ
- Enjoy hybrid working (3 days in office, 2 from home)
- Benefit from flexible hours, professional development, and a wide range of perks
- Minimum of 25 days of personal holiday per year with up to 5 days of available holiday purchase
- Access a competitive salary, wide-ranging benefits, a generous pension scheme and up to 38% discount on Canon products
- Be part of a company that values sustainability, inclusion and your personal growth
- Great transport links- Elizabeth Line and Stockley Park low-cost Shuttle Bus and free parking on site
If you're visionary, innovative, and ready to make an impact - we'd love to hear from you. With Canon, you'll get the support and encouragement you need to grow from people who share your ambition. We'll invest in your professional development to help you learn and progress in your role with us. You'll find leaders who give you the freedom to explore new things and a team where knowledge is shared openly. At Canon we have a clear vision: to be committed to creating a more inclusive and equitable culture where employees are valued and can thrive personally and professionally. Canon also has a strong commitment to sustainability, encompassed by our Kyosei philosophy of living and working together for the common good, focused on reducing our environmental impact and creating opportunities to make positive social contribution.
Senior Analyst - Data & Analytics in City of London employer: Canon
Canon is an exceptional employer, offering a dynamic work environment where innovation meets expertise in the graphic arts and production inkjet sectors. With a strong focus on employee growth, Canon provides comprehensive training and development opportunities, alongside a competitive salary and benefits package, including a 20% bonus and car allowance. The collaborative culture encourages problem-solving and customer engagement, making it an ideal place for professionals looking to make a meaningful impact in their field while enjoying the flexibility of a UK-based role with occasional travel.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst - Data & Analytics in City of London
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We think you need these skills to ace Senior Analyst - Data & Analytics in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Canon, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Canon. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Canon
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Canon!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
