Group Disability Data Analytics Specialist

Résumé du poste

The specialist will analyze disability morbidity results, deliver trending analyses, and collaborate with partners to provide actionable insights for senior leadership. They are responsible for managing analytical projects, maintaining advanced models, and improving data quality through profiling and gap identification.

Détails du poste

Permanent Full Time - If you’re someone who often asks “why,” this role may be a great fit. The Disability Data & Analysis team is seeking a naturally curious and analytically driven individual who can navigate complex data and uncover meaningful insights. As a Data Analytics Specialist, you will apply strong analytical, technical, and critical thinking skills to explore data, identify trends, and deliver insights that enhance decision-making and improve business performance. You will play a key role in supporting operational and financial understanding through data. With a focus on continuous improvement, you will refine existing analyses and explore new methodologies to better support organizational leaders. What you will do: Analyze, Report, and Present Disability Morbidity Results Deliver regular trending and variance analyses to support understanding of key disability morbidity KPIs Collaborate with Group Division partners to leverage multiple data sources and assess operational impacts on financial results Fulfill complex analytical requests from senior leadership, providing clear and actionable insights on business performance Disability Analytics Partner with business leaders to proactively identify opportunities for advanced analytics and data-driven solutions Plan, manage, and execute a range of analytical projects using strong project management practices Apply the analytics lifecycle to design, develop, and maintain advanced analytical models Enhance data quality by conducting data profiling and identifying gaps or inconsistencies in key data sources Insights and Storytelling Translate complex data into clear, compelling insights tailored to the audience Present findings, trends, and model performance to senior management, supporting informed decision-making What you bring: 3+ years of experience in analytics, problem-solving, and data-driven decision-making Post-secondary education with exposure to data science and/or statistical concepts Advanced proficiency in Microsoft Office, particularly Excel and Access Experience with data tools such as SQL, Python/R, Power BI, or Tableau is considered an asset Knowledge of group insurance and disability products is an asset Experience in project planning and execution is an asset Strong organizational and time management skills, with the ability to manage multiple priorities Excellent communication and presentation skills 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 $59,800 - $99,700 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 everyday: 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: We’re committed to supporting our employees through every stage of their career. Here’s what you can expect as a full-time or part-time permanent team member: 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. #LI-Hybrid

Ce que vous ferez

The specialist will analyze disability morbidity results, deliver trending analyses, and collaborate with partners to provide actionable insights for senior leadership. They are responsible for managing analytical projects, maintaining advanced models, and improving data quality through profiling and gap identification.

Exigences

Candidates must have 3+ years of experience in analytics and data-driven decision-making along with post-secondary education in data science or statistics. Proficiency in Microsoft Office is required, while experience with SQL, Python, R, Power BI, or Tableau is considered an asset.

Avantages

• Career development • Education reimbursement • Health benefits • Dental benefits • Mental health benefit • Volunteer day • Pension plan • Share ownership program • Employee recognition programs • Employee discounts

Compétences indiquées

• Power BI · Souhaitée
• SQL · Souhaitée
• Tableau · Souhaitée
• Microsoft Excel · Souhaitée
• Communication · Souhaitée
• Reporting · Souhaitée
• Critical Thinking · Souhaitée
• Gestion de projet · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data analytics
• Statistical concepts
• Data science
• SQL
• Python
• R
• Power BI
• Tableau
• Microsoft Excel
• Microsoft Access
• Project management
• Data profiling
• Reporting
• Critical thinking
• Communication
• Presentation skills
• Group Insurance
• Curiosity
• Advanced Analytics
• Organizational Leadership
• Personal Security
• Data-Driven Decision Making
• Data Analysis
• Mental Health
• Management
• Investments
• Decision Making
• Continuous Improvement Process
• Critical Thinking
• Data Profiling
• Data Quality
• Project Planning
• Discounts And Allowances
• R (Programming Language)
• Leadership
• Problem Solving
• Python (Programming Language)
• Key Performance Indicators (KPIs)
• Leadership Studies
• Project Management
• Mentorship
• Microsoft Office
• Presentations
• Refining
• SQL (Programming Language)
• Tableau (Business Intelligence Software)
• Time Management
• Security Clearance
• Reliability
• Data Science

Domaines d’emploi

• Data & Analytics
• Finance & Accounting
• Technology
• Data Analytics Specialist
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists