Senior Manager Data Visualization and Insights

500 Lake Shore Blvd W, Toronto, ON

President's Choice Financial

Earn more optimum points with the no fee PC Mastercard and PC Money Account. Score more rewards and manage your account online anytime, anywhere.

View all jobs at President's Choice Financial

Apply now Apply later

Referred applicants should not apply directly to this role.

All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

Location:

500 Lake Shore Boulevard West, Toronto, Ontario, M5V 2V9

When you hire great people, great things can happen. 

PC Financial offers unprecedented value to Canadians through payment products. We're a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

*Our hybrid model requires this role to be in office 4 days a week with flexible working hours at our Bathurst/Lakeshore location.*

Why this role is important

The Payments Decision Support team’s mandate is to deepen our understanding of customers, embedding analytics in everyday decisions by developing analytical talent across the organization and utilizes leading technology and techniques.  The Senior Manager will play a key role in leading the teams efforts in enterprise-wide strategic initiatives and accelerating insights and deep analytics to identify revenue growth opportunities and reducing operational expenses.

What you will do

  • Translate the team's vision into actionable strategies and plans, ensuring alignment with organizational goals and objectives.
  • Lead analytical efforts for enterprise-wide initiatives and execution of analytical projects, including revenue generation, operational expense optimization, deep analytics, and operational reporting.  Track and analyze results and financial performance to support initiatives, ensuring continuous improvement.
  • Provide effective leadership, and talent development by managing and nurturing a team of data analysts, setting performance expectations, providing direction, guidance, and support to foster a culture of continuous learning.
  • Foster strong relationships with key stakeholders, peers, and leaders across the organization to ensure effective stakeholder engagement and relationship building.
  • Drive the integration of analytics into daily decision-making processes, fostering a culture of data-driven insights that extends throughout the organization.
  • Communicate the value of data insights to non-technical stakeholders, emphasizing their impact on business decisions, and translate their needs into actionable analytics projects.
  • Explore and implement new data sources through creating standardized data tables; ensure data governance frameworks are established and followed to foster resiliency within the team.
  • Keep up with advancements in analytical techniques and methodologies to strengthen analytical efforts across the organization.

What you bring

  • 5+ years of experience in data analytics; 3+ years of experience managing high preforming team
  • Proficient in data analytics tools and techniques (e.g. data mining, data cleaning, statistical analysis, and predictive modeling).
  • Ability to create compelling data visualizations and dashboards to communicate insights effectively to non-technical stakeholders.
  • Knowledge of database systems and SQL for data retrieval, manipulation, and management.
  • Proficiency in programming languages commonly used in data analysis (e.g. Python, R, SAS, SQL, etc.)
  • Mastery of Excel for data analysis, including pivot tables, advanced formulas, and data manipulation.
  • Strong grasp of financial data, product knowledge, profit drivers an asset.
  • Undergraduate degree in Mathematics, Economics, Computer Science, Engineering or equivalent.
  • Strong leadership skills to inspire and guide data insights team, setting a clear vision and fostering a collaborative culture.
  • Effective communication skills, both written and verbal, to convey complex data insights to non-technical stakeholders.
  • Ability to build and maintain relationships with business leaders and executives, understanding their needs and aligning analytics efforts accordingly.
  • Proficient with managing projects to ensure they are delivered on time and within scope.
  • Strong analytical and critical thinking abilities to solve complex business problems using data-driven approaches.
  • Mentor, and develop analytical talent, promoting a culture of continuous learning.
  • Effective time management skills to balance multiple responsibilities and priorities.

Come and join a winning team who demonstrates innovation, energy, creativity and vision.  We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability.  We thank all applicants for their interest, however, only those selected for an interview will be contacted.

Number of Openings:

1

PC Financial recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

In addition, we believe that compliance with laws is about doing the right thing.  Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0

Tags: Computer Science Data analysis Data Analytics Data governance Data Mining Data visualization Economics Engineering Excel Mathematics Predictive modeling Python R SAS SQL Statistics

Perks/benefits: Career development Flex hours Startup environment

Region: North America
Country: Canada

More jobs like this