Data Analyst, Disability Operations

The Disability Analytics & Reporting team has an immediate opportunity for a Data Analyst to join our Analytics team. We are seeking a highly imaginative and motivated individual with a combination of analytic, programming and data visualization skills to enhance our business intelligence and analytics capabilities. In this role, you will be tasked with using data to discover opportunities and solve business problems. You should have a passion for how data can be used to drive deep, meaningful insights that enhance the customer experience, grow our businesses, minimize risk, and engage our employees. Position Responsibilities: Work with operational teams to develop analytic and business intelligence solutions Create complex stored procedures to extract and transform data for use in data analysis and process automation Become a Disability data subject matter expert Visualize and present data for management using software tools such as Microsoft Power BI Support ad-hoc requests for data & analysis from the business Partner with the Advanced Analytics team of Data Scientists on various projects What motivates you? You obsess about customers, listen, engage and act for their benefit. You think big, with curiosity to discover ways to use your agile approach and enable business outcomes. You thrive in teams and enjoy getting things done together. You take ownership and build solutions, focusing on what matters. You do what is right, work with integrity and speak up. You share your humanity, helping us build a diverse and inclusive work environment for everyone. Required Qualifications: Expert database knowledge with the ability to create complex code to process and interpret large volumes of detailed data Experience with visualization and BI tools such as Microsoft Power BI, Tableau or QlikView Advanced experience in SQL in using Microsoft SQL Server Management Studio 2016+ Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) A capacity for constant learning from both success and failure, remaining open to change and continuous improvement Superior written and verbal communication skills, ability to explain technical concepts to management Demonstrated ability to work with both technical and non-technical resources Expert knowledge of MS Office Suite Very strong problem solving, decision making, multi-tasking, prioritization, and collaboration skills Experience with Agile/Lean Six Sigma Preferred Qualifications: Experience in Python, Java, R, VBA, Visual Studio Familiarity with predictive models and advanced analytics Experience & Business knowledge in Financial Services and Group Benefits 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 global team, we’ll support you in shaping the future you want to see. The role being advertised is an existing vacancy. 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 [email protected] . Referenced Salary Location CAN, Ontario - Full Time Remote Working Arrangement Remote Salary range is expected to be between $59,100.00 CAD - $98,500.00 CAD Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. 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. If you are applying for this role outside of the primary location, please contact [email protected] for the salary range for your location. 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 [email protected] for more information about U.S.-specific paid time off provisions. We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement .