Senior Data Analyst

Wawanesa Insurance

Wawanesa Insurance, a leading mutual insurer in Canada, seeks a skilled Senior Data Analyst to enhance their Personal Lines Pricing Insights team. The role involves harnessing data to solve business challenges and delivering insights that support decision-making. Wawanesa, with its headquarters in Winnipeg, values diversity and community engagement, donating significantly to philanthropic efforts. This position offers the flexibility of a hybrid work model, supporting balance between remote work and office presence.

In this role you can expect to have the responsibilities:

• Research and transform complex data with a focus on quality.
• Conduct data analysis to create visualizations, reports, and generate insights.
• Provide project updates, addressing potential obstacles and solutions.
• Document key projects and processes.
• Collaborate within a team and across functions to build strong relationships.
• Develop and advise on data practices for business stakeholders.
• Improve efficiency by evaluating existing processes.
• Commit to professional development and continuous learning.
• Identify and implement new industry trends and tools.
• Define team best practices and contribute to mentorship and training.

This role comes with the following benefits:

• Annual bonus plan.
• Leave of absence top-up programs.
• Generous vacation time and personal days.
• Premium-free benefits.
• Pension plan.

This role requires you to have:

• Experience in data mining, business intelligence, or data science.
• Bachelor's degree in a quantitative field or equivalent experience.
• Proficiency with SQL, PowerBI, and data modeling.
• Proficiency in R or Python.
• Strong communication skills.

You would benefit from having:

• Experience with AWS tools like S3, Athena, and RDS.
• Knowledge of machine learning techniques.
• Understanding of P&C Insurance lines of business.

Wawanesa Insurance emphasizes equity, diversity, and inclusion in their workplace, promoting equal opportunities and providing accommodations throughout the recruitment process.