At a Glance
- Tasks: Transform data into actionable insights and drive business decisions with advanced analytics.
- Company: Join Canada Life, a trusted leader in financial services dedicated to improving well-being.
- Benefits: Enjoy competitive salary, flexible health benefits, and generous career development support.
- Other info: Dynamic work environment with opportunities for community involvement and personal growth.
- Why this job: Make a real impact by shaping analytics solutions that drive operational efficiencies.
- Qualifications: 3-5 years of experience in data analytics with strong SQL and Python skills.
The predicted salary is between 60400 - 109400 £ per year.
We are looking for a Senior Analyst to join Canada Life’s Business Enablement, Data Analytics & Reporting team. In this role 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 (12-month Contract) 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.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst (12-month Contract) in London
✨Tap into Online Data Science Communities
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Senior Data Analyst (12-month Contract) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Canada Life, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Canada Life, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Canada Life’s attention and show the tangible impact of your work.
How to prepare for a job interview at Canada Life
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Canada Life.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Canada Life.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Canada Life.
