At a Glance
- Tasks: Transform data into insights and drive business decisions with advanced analytics.
- Company: Join Canada Life, a trusted leader in financial services.
- Benefits: Competitive salary, health benefits, career development, and community involvement.
- Other info: Dynamic work environment with opportunities for growth and community support.
- Why this job: Make a real impact by shaping analytics solutions that enhance decision-making.
- Qualifications: 3-5 years of experience in data analytics tools and strong communication skills.
The predicted salary is between 60400 - 108400 £ per year.
We are looking for Senior Analysts to join Canada Life’s Business Enablement, Data Analytics & Reporting team. We are currently hiring for multiple Senior Data Analyst roles and are seeking candidates with experience across one or more of the following skill sets:
- Senior BI Analyst – Core BI delivery focused on requirements, KPI definition, analysis, and Power BI reporting using curated datasets.
- Senior BI Specialist – End‑to‑end delivery specialists combining advanced Power BI development with strong data‑engineering capability, owning solutions from discovery through build, validation, and rollout.
- Senior Data Foundation Analyst – Data‑engineering–focused role responsible for building, enriching, and governing data pipelines and datasets that enable downstream BI and analytics.
As a Senior Analyst, you will support all Canada Operations and Business Enablement teams with the ideation, development, implementation, and maintenance of analytics solutions ranging from descriptive and diagnostic to predictive. The Senior Analyst, Data & Analytics is a data subject matter expert enhancing decision making, monitoring business performance, providing actionable insight, and driving operational efficiencies using advanced analytics and statistical techniques. In this role, you will model, analyze, and predict complex business processes. You will translate business requirements into data, reporting, and analytics projects, which you will oversee and support throughout their entire lifecycle.
What you will do:
- Translate business needs into data requirements; collect, integrate, clean, model, and analyze large datasets; and visualize and present insights to business leaders.
- Build, implement and maintain data models, custom reports, and dashboards.
- Use Azure Databricks and advanced SQL to transform and model data, and Power BI to deliver governed, insight‑driven reporting and analytics solutions.
- Work with large datasets that are not consistent, clean, or fully modelled.
- Apply strong communication, influence, and strategic thinking to shape analytics solutions and drive business decisions.
- Define, implement, and monitor metrics and KPIs and ensure ongoing strategic alignment with short and long-term business objectives.
- Enable effective, efficient working relationships with business partners.
- Work closely with senior leaders to understand business drivers and enable them to make decisions based on data.
- Oversee and support projects throughout the entire analytics lifecycle.
- Assist the business in the ideation of new analytics initiatives ranging from descriptive, diagnostic, predictive to prescriptive.
- Present and communicate insights and recommendations in a visual and simplified manner.
- Retrieve, integrate, and transform data from multiple systems using SQL, Python, and other scripting languages.
What you will bring:
- 3-5 years of relevant experience and a master’s degree in related field of study, or an equivalent combination of bachelor’s degree and extensive related experience.
- Strong experience in working with data analytics tools (SQL, Python), Databases (SQL Server), Cloud (Azure, Databricks), data visualization tools (Power BI) with demonstrated experience at creating interactive dashboards.
- Ability to write complex and efficient SQL and Python queries to extract, integrate and transform data from multiple sources and automate data pipelines.
- Advanced skills in Power BI, Data Modeling, Power Query, and DAX.
- Microsoft Power BI Data Analyst (PL‑300) certification preferred.
- Strong experience working with raw data and manipulating large datasets.
- Subject matter expertise in data analytics and statistical modelling.
- Polished communication and presentation skills to audiences including senior leadership.
- Strong analytical skills for problem solving and to monetize value for the organization.
- Ability to work with little to no documentation or instruction.
- Think outside the box and identify solutions to overcome obstacles.
- Proven ability to learn and handle multiple priorities in a challenging work environment.
- Experience within the Financial Services sector would be an asset.
Reliability Status Security Clearance – this can only be completed with candidates who receive an offer of employment. This is a personal security status that is required as a condition of employment before an employee can gain access to Protected B information, assets or work sites as outlined by the Government of Canada website. The cost of submitting these checks will be covered by Canada Life.
The base salary for this position is between $80,400 - $130,400 annually. This represents base salary only and does not represent other variable compensation components of our total compensation (i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.
What we offer:
- Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to $2,000 annually towards education reimbursement.
- Health & Wellness: Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being.
- Time Off: In addition to regular vacation and personal days, we support community involvement with a volunteer day.
- Financial Security: Company-matching pension plan, share ownership program and additional investment options.
- Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!
- Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.
We’re committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.
Canada Life would like to thank all applicants, however only those who qualify for an interview will be contacted.
Senior Data Analyst in London employer: Canada Life
Canada Life UK is an exceptional employer that prioritises the well-being and growth of its employees, offering a modern and agile work environment in vibrant locations like Bristol, London, and Watford. With a strong focus on building better futures, the company fosters a welcoming culture and provides ample opportunities for professional development, making it an ideal place for those seeking meaningful and rewarding careers.
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We think this is how you could land Senior Data Analyst in London
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We think you need these skills to ace Senior Data Analyst in 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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Canada Life. 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!
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✨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
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✨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.
