Senior Business Intelligence Analyst
4 weeks ago
About Maple
At Maple, we're dedicated to powering the future of healthcare through innovative technology. Our mission is to build a connected and superior healthcare experience for patients, doctors, and other healthcare providers.
We offer a range of virtual care services, including direct-to-consumer, employer, and public sector solutions. With a growing network of 2,000+ healthcare providers and nearly 4 million Canadians accessing our services, we're one of Canada's fastest-growing virtual care companies.
Our entrepreneurial culture is centered around supporting people's health and well-being, and strengthening the healthcare system. We attribute our success to our team's hard work and dedication, which has earned us numerous awards, including LinkedIn's Top 10 Startups, Deloitte Canada's Technology Fast 50, and Globe & Mail's Top Growing Companies in Canada.
The Position
We're hiring a Senior Data Analyst to support our growing team. This role is critical in ensuring our data-driven decisions are informed by robust data infrastructure and analytics. You'll collaborate with leaders across the business to gather and understand requirements, partner with team members to build data models for reporting and analysis, and support initiatives that enhance our marketing analytics, product analytics, and experimentation capabilities.
This role requires a strong technical foundation, including expertise in SQL and Python data analysis. You'll also need experience with business intelligence tools like Looker, Tableau, or Mode, and cloud-based data warehouse services like Amazon Redshift, BigQuery, or Snowflake.
Key Responsibilities
- Build and maintain data models for reporting and analysis
- Collaborate with stakeholders to gather and understand requirements
- Develop and implement data-driven solutions to enhance marketing analytics, product analytics, and experimentation capabilities
- Maintain and improve data quality and integrity
- Provide data orientation and onboarding sessions for new employees
Requirements
- Bachelor's degree in a technical field
- Minimum 5 years of professional experience as a Data Analyst
- Experience working at a high-growth, fast-paced company
- Strong SQL and Python data analysis skills
- Experience with business intelligence tools and cloud-based data warehouse services
Culture and Organizational Fit
- Passionate: We believe deeply in our company's purpose and what we're trying to accomplish as a team.
- Supportive: We're a diverse community that recognizes and embraces the individual differences of our people.
- United: We leave our egos at the door and act with humility.
- Creative: We challenge the status quo of what we think is possible with how we approach our work and projects.
Working at Maple
We want you to love working at Maple. We offer a comprehensive set of benefits and perks, including comprehensive health and dental coverage, health spending account, wellness budget, unlimited Maple access, paid health days, and professional development budget.
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