Business Intelligence Data Analyst

This is a high visibility role with opportunities to work with Marketing Managers. The data analyst will work as part of a larger team to improve the effectiveness and efficiency of Marketing Campaigns! The data analyst will understand marketing and customer data and define ways to incorporate the data for descriptive analytics.

Position Responsibilities:

• Generate relevant, practical insights through sophisticated data analysis and visualization, translate data-driven output into business language, and make appropriate recommendations to marketing partners
• Design and drive sophisticated analysis that solves marketing business challenges
• Become a data SME for Campaign Management
• Drive automation by building data models, semantic layers, with a focus on automating insights
• Provide, understand, and detail various data sources and how they can be aggregated to the larger dataset
• Collaborate with multiple marketing partners to define campaign scope through data analysis – including opportunity sizing, mailing lists, segmentations, and projection
• Detail oriented – validate the integrity, quality, and accuracy of data by testing work done by data engineers
• Perform data analysis to suggest improvements to increase campaign conversion and channel penetration
• Learn and understand how work you're doing fits into the broader initiative
• Ensure all work is held to the highest ethical standards

Required Qualifications:

• Minimum Bachelor’s degree in Statistics, Applied Mathematics, Data Science, Engineering, Computer Science, or a closely related field or equivalent experience is encouraged
• Proficient in crafting business intelligence systems, dashboard reporting, and analytical reporting (Power BI, Advanced MS Excel)
• Proficient in data analysis process - data wrangling, data cleansing, exploratory data analysis
• Experienced in logical data modeling – building denormalized models
• Proven foundation in statistics and related technical subject areas
• Ability to work with complex datasets
• Demonstrable proficiency in programming with Python and SQL, exposure to other programming languages and analysis tools (e.g. R, PySpark)
• Knowledge of software development standard methodologies (e.g. Git, DevOps, Agile)
• Excellent knowledge of relational database models

Preferred Qualifications:

• An advanced degree or equivalent experience in a quantitative field

When you join our team:

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our distributed team, we’ll support you in crafting the future you want to see.

#LI-Hybrid

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

Referenced Salary Location

Waterloo, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$75,880.00 CAD - $140,920.00 CAD

If you are applying for this role outside of the primary location, please contact recruitment@manulife.com for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact recruitment@manulife.com for more information about U.S.-specific paid time off provisions.