Data Analyst

Munich Re • Toronto, Ontario, Canada • 17h ago

Position Overview Your Role:

Inputting and development of an online process inventory. Here you will learn how to create complex process maps that integrate both system and human elements into a design understandable to the business.
Process mining data from various sources for the measurement of processes.
Compilation, data cleansing and data harmonization across sources for the BPI team to analyze.
Ideate on potential improvement approaches and workflow developments.

Your Profile:

Currently pursuing an undergraduate or Master's Degree in a technical or business field (e.g. Business, Computer Science, Engineering, etc.)
Fast learner and adept at learning new technologies and platforms.
Exceptional qualitative/quantitative analysis skills.
Effective relationship building skills.
A confident presenter with exceptional verbal and written communication skills. Ability to work independently with minimal direction / supervision.
Must be extremely accurate and detail orientated and capable of managing multiple priorities.
Experience in understanding workflows
Understanding of statistics, distributions and data analysis.

What Can We Offer You?

An engaging and collaborative environment that promotes continuous learning and development
A hybrid work environment that combines weekly in-office and remote days with Meeting-Free lunch hours and Focus Friday afternoons
A great compensation package including annual company bonus
Market leading company-paid flexible health and dental benefits, starting on your first day
Flexible dollars provided by the company to put towards Health Spending Account and/or Wellness Spending Account
Immediate participation in DC Pension Plan with an automatic 5% employer contribution, plus optional company match
Generous time off including vacation, personal days, unplanned time, Statutory Holidays and company-wide early closure half-days
Learning and development programs and resources, including unlimited access to LinkedIn Learning, Education Assistance Program and reimbursement for professional fees
Maternity, Parental \& Adoption Leave top-up program
Employee Referral Program, Recognition \& Rewards Platform

Munich Re

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