Senior Data Analyst

ABOUT MAPLE

Founded in 2015, Maple is a fast-growing health tech company with a vision to power the future of healthcare by building a connected and superior experience for patients, doctors, and other types of health providers.

We offer virtual care services across multiple distribution channels, including Direct-to-Consumer ("B2C"), Employers and Private Insurers ("B2B") and Public Sector Institutions ("B2I"). With a growing network of 2,000+ healthcare providers and nearly 4 million Canadians with access to our services, Maple is one of Canada's fastest-growing virtual care companies.

We have established an entrepreneurial culture centered around our purpose to support people's health and well-being and to strengthen the healthcare system. We attribute our success to our team, who has helped us achieve numerous noteworthy awards including : LinkedIn's Top 10 Startups, Deloitte Canada's Technology Fast 50, Globe & Mail's Top Growing Companies in Canada, North America's Inspiring Workplaces, and Glory Professional's The Power 50 : Canada's Most Impactful Companies.

THE POSITION

In support of our growing team, we're hiring for the position of Senior Data Analyst. This role is pivotal in ensuring that our data-driven decisions are supported by robust data infrastructure and analytics. You will 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. Your expertise will be critical in creating and maintaining Looker reports and dashboards, and helping business stakeholders define and track KPIs across departments.

Critical to success in this role will be your ability to provide thought partnership and actionable insights to Maple, and your passion for exploring and evaluating new and emerging tools, technologies, and practices.

12 – 18 MONTH DELIVERABLES

In the first 90 days, you will focus on building strong relationships with stakeholders across the company to understand their challenges and data needs. You will familiarize yourself with Maple's existing data models and reporting tools, especially Looker, and begin identifying immediate areas for improvement. During this period, you will also start creating initial reports and dashboards, and provide data orientation onboarding sessions for new Maple employees.

Over the next 12-18 months, you will develop a deep understanding of Maple's data model and implement improvements and extensions to enhance reporting. You will proactively identify strategic opportunities and become an expert in Maple's business model, positioning yourself as a key thought partner for decision-makers and senior leadership. You will assist team members by sharing best practices, contributing to the overall skill development of the team, and continuously refining data models to ensure they align with Maple's evolving business needs.

CANDIDATE PROFILE

• Possesses a Bachelor's degree, preferably in a technical field.
• Has a proven track record with a minimum of 3 years of professional experience as a Data Analyst demonstrating increasing levels of responsibility and expertise.
• Has experience working at a high-growth, fast-paced company, with a track record of launching, measuring, and scaling initiatives.
• Has strong SQL and Python data analysis skills.
• Has experience with applied statistical analysis, predictive modelling, experimentation, and hypothesis testing.
• Has experience with dbt and analytics engineering practices.
• Is proficient with business intelligence tools such as Looker (preferred), Tableau, or Mode.
• Has experience with cloud-based data warehouse services like Amazon Redshift (preferred), BigQuery, or Snowflake.
• Demonstrates strong verbal and written communication skills.
• Has experience with predictive models and product analytics tools like Mixpanel (preferred) or Amplitude.
• Is familiar with data integration tools like Stitch, Fivetran, Census, or Hightouch, and customer data platform (CDP) tools like RudderStack (preferred) or Segment.

Not checking every box? Please apply anyway. We understand that candidates have different experiences that may make them a fantastic fit for this position, and for Maple. We value equity, diversity, and inclusion, and we're committed to providing fair and equal opportunities to all applicants. We also want to provide an accessible interview process, so if there's any accommodations that would make your experience more comfortable, please let us know.

KEY COMPETENCIES

CULTURE AND ORGANIZATIONAL FIT

WORKING AT MAPLE

We want you to love working at Maple. We want you to feel challenged and supported, cared for, and driven. Just as we're driven to grow, to improve, to iterate our products and services, we want you to take the same mindset as you work towards achieving your personal best. We can all learn, we can all develop, and we can all power the future of healthcare. But we can only do it together. At Maple, we are a team first and foremost. Your success is our success.

In order to support your health and well-being, we offer a comprehensive set of benefits and perks, including :

OTHER

Please note that any offer of employment may be subject to verification of employment and education background checks, including a criminal record check.

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