Data Analyst Manager
5 days ago
Embark on a rewarding career with Capital One Canada, a pioneering credit card company dedicated to innovative digital solutions that prioritize customer needs.
About the RoleWe're seeking an experienced Data Analyst Manager to join our dynamic Strategy and Analytics Team. As a key player in shaping our business strategies, you'll leverage your analytical expertise to drive informed decision-making and deliver impactful results.
The ideal candidate will have a strong background in data analysis, visualization, and business case development. With excellent communication skills, you'll effectively collaborate with cross-functional teams, including data scientists, process managers, and product owners, to execute projects from conception to delivery.
This is an exciting opportunity to grow with a forward-thinking organization that values diversity, inclusion, and employee well-being. Enjoy a comprehensive benefits package, flexible work arrangements, and opportunities for professional growth and development.
As a Data Analyst Manager at Capital One Canada, you can expect:
- To lead the development of complex business cases, leveraging data-driven insights to inform strategic decisions.
- To build and maintain relationships with various stakeholders, fostering open communication and collaboration across departments.
- To stay up-to-date with industry trends and best practices, applying this knowledge to enhance our analytics capabilities and drive business outcomes.
- To mentor junior team members, promoting knowledge sharing and skill development within the team.
Capital One Canada offers a competitive salary range of $120,000 - $180,000 per year, commensurate with experience. This estimate is based on industry standards and location-specific factors. We're committed to providing a fair and transparent compensation structure that reflects individual contributions to the organization's success.
PREFERRED QUALIFICATIONS: A degree in Commerce, Finance, Marketing, Economics, Business Administration, Engineering, Mathematics, Computer Science, Statistics, or a related field, accompanied by relevant work experience in data analysis, coding (e.g., SQL, Python), and data visualization (e.g., Tableau, QuickSight).
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