At a Glance
- Tasks: Lead AI initiatives by translating complex business opportunities into actionable insights and measurable outcomes.
- Company: Join Canada Life, a trusted company improving the well-being of Canadians.
- Benefits: Enjoy competitive salary, health benefits, career development, and flexible work options.
- Other info: Dynamic workplace with a focus on community, mentorship, and career growth.
- Why this job: Make a real impact in AI while collaborating with diverse teams and innovative technologies.
- Qualifications: 5+ years in data analytics, strong communication skills, and experience with AI solutions.
The predicted salary is between 80400 - 130400 £ per year.
The Senior Data Analyst leads analytical framing, experimentation, business analysis, value realization, stakeholder engagement, and solution delivery support for AI-enabled business initiatives, helping teams turn complex or ambiguous opportunities into practical, measurable outcomes.
Working closely with AI Enablement leads, Data Scientists, Data Engineers, business stakeholders, and technology teams, this role translates business opportunities into measurable AI use cases and guides the evaluation, implementation, and adoption of AI solutions through evidence-based analysis and recommendations.
The successful candidate combines strong analytical skills with business acumen, acts as a trusted analytics partner, and bridges technical and business stakeholders to help AI initiatives deliver practical, measurable value while supporting consistent and repeatable delivery practices.
What you will do:
- Lead the translation of complex or ambiguous business opportunities into clear AI use cases, analytical questions, success measures, and measurable outcomes that can be tested and evaluated.
- Own practical analytical approaches, including experiments, pilots, measurement frameworks, reporting, and interpretation, to assess whether AI-enabled solutions are delivering value.
- Build confidence in AI solutions by guiding data collection, validation, testing, quality assurance, and performance monitoring activities.
- Partner with Data Engineers and Data Scientists to identify source-system data, manage it through the data lifecycle, and develop analytical products that support AI-enabled solutions.
- Turn analytical findings, business context, and evaluation results into clear recommendations that influence stakeholder decisions about AI opportunities, adoption, prioritization, and next steps.
- Support adoption and repeatable delivery by developing workshops, training, job-aides, measurement practices, and other materials that help teams understand and apply AI solutions effectively.
What you will bring:
- Degree in Statistics, Mathematics, Analytics, Data Science, Economics, Business, Engineering, or an equivalent combination of education and experience.
- 5+ years of experience applying data, analytics, business analysis, or digital enablement practices to solve business problems and improve outcomes.
- Experience translating business needs into analytical questions, success measures, requirements, and practical recommendations.
- Experience designing or supporting experiments, pilots, performance measurement approaches, or value realization assessments.
- Experience working with business stakeholders and technical partners to define requirements, interpret findings, and support implementation decisions.
- Proficiency with analytics and reporting tools such as Power BI, SQL, or comparable platforms.
- Working knowledge of data platforms, programming, or cloud-based analytics environments such as Azure, Databricks, Python, or comparable tools.
- Experience working in Agile or iterative delivery environments.
- Demonstrated ability to lead through influence, collaboration, and subject-matter credibility rather than formal authority.
- Experience providing guidance, peer support, or informal coaching to analysts or multidisciplinary partners.
- Strong stakeholder engagement, facilitation, and communication skills.
- Ability to bridge technical and business audiences effectively.
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.
Preferred
- Experience supporting AI, machine learning, generative AI, automation, or advanced analytics initiatives.
- Exposure to AI governance, responsible AI, privacy, or data governance practices.
- Experience supporting proof-of-concepts, pilots, or adoption activities for emerging technology solutions.
- Strong foundation in research methods, measurement design, evaluation methodologies, or benefits realization.
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.
Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.
Grow with Canada Life. We’re united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country. We’re looking for people who live our values every day: we step up, we do the right thing, and we deliver – for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from 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.
Learn more about Canada Life. 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 Analyst, Data & Analytics 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.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst, Data & Analytics in London
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We think you need these skills to ace Senior Analyst, Data & Analytics 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!
How to prepare for a job interview at Canada Life
✨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 Canada Life!
✨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.
