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Analyst Data & Analytics Jobs
Company | Canada Life |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Insurance,Financial Services |
Expires | 2023-07-22 |
Posted at | 10 months ago |
- Collect, clean, analyze and visualize data to inform data driven decisions.
- Identify, escalate and contribute to the resolution of issues and mitigation of risks.
- Engage with team members to identify and document alternatives and recommend future state processes that improve the customer experience and drive efficiencies for the organization
- Independently work with subject matter experts (SME) from across the organization to identify and document current state processes, and to identify process improvement opportunities.
- Work closely with the Tech and Data team members to ensure adequate testing by contributing to test plans, identification of test situations and test cases, execution of test plan and verification that test results meet business expectations.
- Identify sources of value, with a goal of helping to develop a well-articulated, credible & compelling business case.
- Work closely with team members to identify, coordinate & consolidate dependencies to deliver on the release plan.
- Define key performance indicators (KPI) used to track success.
- Action oriented - Ability to quickly consume information & translate it into meaningful action
- Knowledge of Agile preferred
- Well-developed collaboration skills - Ability to build strong relationships with a diverse set of stakeholders at all levels of the organization
- True flexibility and adaptability - Ability to work in ambiguous situations; resilient and tenacious with a propensity to persevere
- Demonstrated attention to detail - Ability to produce high quality output under strict and accelerated timelines
- Exceptional critical thinking skills - Ability to identify and document the happy path as well as all of the edge cases
- Excellent written and verbal communication skills - Ability to communicate complex messages and trade-offs clearly to both technical and non-technical audiences
- Broad knowledge of Group Customer operations and technology is preferred
- Strong fact-finding skills – Ability to elicit and consolidate requirements from multiple stakeholders
- Previous experience with data analysis and visualization tools preferred
- Has a learning mindset to take on versatile roles as required by the lab
- Challenger mindset and passion to challenge status quo to find new solutions and drive out of the box ideas – embraces change
- Believes in a non-hierarchical culture of collaboration, transparency and trust across the team
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