At a Glance
- Tasks: Transform data into actionable insights and support decision-making for business leaders.
- Company: Join Canada Life, a trusted name improving Canadians' well-being.
- Benefits: Enjoy competitive salary, health benefits, and career development opportunities.
- Other info: Flexible hybrid work model with excellent career growth potential.
- Why this job: Make a real impact by analysing data and driving business success.
- Qualifications: Experience in data analytics tools and strong communication skills required.
The predicted salary is between 40500 - 49500 £ per year.
As a Data Analyst, you will join Canada Life’s Canada Operations & Business Enablement, Data Analytics and Reporting team. In this role you will support all Canada Operations and Business Enablement teams with the development, implementation, and maintenance of analytics solutions ranging from descriptive and diagnostic to predictive.
The Analyst, Data & Analytics supports decision making, monitors business performance, and provides actionable insights using analytics and statistical techniques. In this role, you will assist in modelling, analysing, and predicting business processes. You will translate business requirements into data, reporting, and analytics projects, which you will support throughout their entire lifecycle.
What you will do:
- Translate business needs into data requirements, collect, integrate, clean, explore, model, and analyze large datasets and visualize results and present to business leaders.
- Build, implement and maintain data models, custom reports, and dashboards.
- Work with large datasets that are not consistent, clean, or fully modelled.
- Communicate effectively and demonstrate critical thinking and business acumen.
- 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.
- Support projects throughout the entire analytics lifecycle.
- Present and communicate insights and recommendations in a visual and simplified manner.
What you will bring:
- Reliability Status Security Clearance – this can only be completed with candidates who receive an offer of employment.
- 1-3 years of relevant experience and a bachelor’s degree in a related field of study, or an equivalent combination of education and experience.
- Microsoft Certified: Power BI Data Analyst Associate (PL-300) certification is preferred.
- Demonstrated experience in working with data analytics tools (SQL, Python), Databases (SQL Server), Cloud (Azure, Databricks), data visualisation tools (Power BI) with experience at creating interactive dashboards.
- Ability to write efficient SQL and Python queries to extract, integrate, and transform data from multiple sources, and to automate data pipelines.
- Proficiency in Power BI, Data Modelling, Power Query, and DAX.
- Experience working with raw data and manipulating large datasets.
- Good knowledge in data analytics and statistical modelling.
- Strong communication and presentation skills.
- Proven ability to learn quickly and independently and handle multiple priorities in a challenging work environment.
- Experience within the Financial Services sector would be an asset.
Given the size and scope of our organization, we have the flexibility for this position to be located in the following head office locations: Toronto, London, Winnipeg. This role follows a hybrid work model, with an in-office presence required three days per week.
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.
Data Analyst in London employer: Canada Life
Canada Life is an exceptional employer that prioritises the well-being and professional growth of its employees. With a strong commitment to career development, flexible health benefits, and a supportive work culture, employees are encouraged to thrive in their roles while contributing to the community. The bilingual Customer Service Representative role offers a structured environment where you can make a meaningful impact by assisting clients with empathy and professionalism.
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We think this is how you could land Data Analyst in London
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We think you need these skills to ace 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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Craft a Tailored Cover Letter:For a full-time role at Canada Life, 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 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.
