Working under moderate supervision, this job contributes to Wawanesa's success by extracting knowledge and insights from data, through machine learning, data mining and predictive modeling, to support decision making across the organization.
Work with various stakeholder to translate business questions into formalized and repeatable analytical processes
Work with various stakeholders throughout the organization to design, develop, and assess experiments aimed at uncovering meaningful and actionable insights
Disseminate the findings from analysis and experiments for easier stakeholder consumption
Assist in the development and refinement of measures and reports designed to improve decision making
Document all aspects of the analytical process, including data requirements, data processing, analytical approaches utilized, any created code and, in general, the findings of the work conducted
Contribute to educational initiatives aimed at the development of overall inter- and intra-departmental knowledge
Participate in planning activities
Contribute to data management improvements
Follow established practices, processes and guidelines
Keep up to date on current statistical and mathematical models and methodologies, including those relating to machine learning, deep learning, and artificial intelligence
Perform other duties as assigned
Completion of post-secondary degree/certificate preferably in the area of computer science, mathematics, statistics, actuarial science/mathematics, engineering, physics, or other related field
Two years practical experience performing analysis or developing analytical processes using current programming languages and/or statistical software
Two years practical experience performing data exploration, data management, and other data related activities
Detail oriented with analytical and problem-solving skills and an ability to recognize and identify issues and take proper action to resolve them
Effective creativity skills, with the ability to develop solutions to a variety of problems
Effective communication skills, with the ability to communicate in a clear and concise manner with style fitting for the audience and message
Strong organizing skills with the ability to self-manage a fluctuating workload, with various situations and changing priorities.
Strong collaboration skills, with the ability to work in a team setting by making contributions and supporting team members
Experience with analytical tools such as Python and R is considered an asset
Knowledge and experience in the insurance industry is considered an asset
Wawanesa provides its employees with an environment conducive to achieving their goals for personal performance and career development. Our employees are provided with highly competitive compensation packages (salaries, profit sharing, benefits and a defined benefit pension plan). The benefit package is comprehensive and far ranging. Wawanesa provides a stable and rewarding environment for its employees in today's challenging markets.
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