Operational Forecasting Analyst

Sun Life • Montreal, ON

1d • CA$58,000 - CA$93,000 • Hybrid

About The Position

At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine. Are you someone who is passionate about data, with superior analytical, data exploration, modeling and visualization skills, and more than 2 years of practical experience in analyzing business data? If so, consider applying your skills and experience to a data scientist position in the Canadian Shared Services team. We are looking for someone to focus on forecasting demand, creating models and analyzing data. In this role, you will dig deep into business data to generate insight and recommendations based on your findings and communicate those with senior leaders and other stakeholders. The role requires creative problem-solving ability, teamwork, excellent communication and presentation skills, a willingness to try new techniques, and the ability to handle several diverse and concurrent projects. The results of your work will be used for operational decision making identifying continuous improvement opportunities.

Requirements

• One plus year of experience in data analysis with an emphasis on forecasting or predictive analysis
• Experience on building models on multiple toolset – Python, AWS Sagemaker
• Should able to visualize model outcomes with other data on visualization platform like Tableau, Power BI
• Familiarity with querying data using SQL
• Experience analyzing and modeling business process data
• Strong critical thinking & creative problem solving
• Demonstrated experience working with data, including transformation, manipulation, forecasting, and statistical modeling
• Experience using a variety of data analysis methods and forecasting techniques including statistical and simulation-based approaches
• Experience working with time series data, using a variety of forecasting methods
• Experience measuring and interpreting forecast accuracy
• Ability to assess model validity and appropriateness
• Demonstrated ability to produce and communicate meaningful results from data
• Ability to effectively visualize and present complex data adapted to a variety of audiences

Nice To Haves

• Minimum of Bachelor degree in Statistics, Operations Research, Management engineering, Industrial engineering, Computer Science, Software Engineering, Mathematics, Econometrics, or equivalent experience
• Experience with Workforce Management Software (IEX, Genesys)
• Experience using large databases with complex relationships between tables
• Experience working with Call Centre data, understanding of queuing theory and Call Centre mathematics

Responsibilities

• Investigate business processes and design, maintain, and refine models of business workflow
• Collect, manipulate, and analyze data to forecast demand for several diverse business units
• Work within a team to provide analysis, insights and recommendations to senior business leaders to help them recognize areas of opportunity and drive evidence-based operational decisions
• Formally apply statistical / scientific rigor to analysis of data
• Look for ways to innovate and improve processes in a Continuous Improvement environment

Benefits

• The opportunity to move along a variety of career paths with amazing networking potential
• A friendly, collaborative, and inclusive culture
• The option to work from your home office (for select roles only)
• Wellness programs that support the three pillars of your health – mental, physical and financial
• Being part of our Analytics community, where we share best practices and broaden skill-sets

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level