
Data Analyst - Toronto, ON
- Toronto, ON
- $99,200-124,000 per year
- Permanent
- Full-time
- Work closely with internal stakeholders to provide insights through analysis and reporting to help inform decisions in all parts of the business, including Product Management, Client Success, Marketing, and Health Solutions
- Support League's customers in using our data to unlock insights using your expertise with data models and BI, managing data dictionaries, and deep dive and Q&A sessions
- Act as a SME for all things related to Reporting; guide users to the right set of KPIs and provide clarity on their meaning
- Develop analytics strategies and frameworks to monitor and analyze product performance and business KPIs related to application usage, and user engagement & conversion
- Work with data analysts, data engineers and data scientists on data requirements, reporting and forecasting of metrics and building out visualizations and data value stories
- Regularly conduct data quality audits and analysis to ensure the accuracy of data & reports sent to customers, in particular of the client events (ie clickstream data) generated by user button clicks and screen loads within the app
- You care deeply about using information and data in decision-making and have experience in communicating that logic to customers.
- You are a strong communicator and enjoy collaborating with groups and training or educating teams to use data tools or to understand results.
- You are a strong problem solver and can communicate the challenges and solutions effectively.
- You are extremely customer-centric and create relationships with customers easily.
- You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines.
- You are eager to learn from others and help others grow with you.
- Strong SQL skills and experience working with a modern ETL framework.
- Experience building dashboards on Looker or other similar visual analytics platforms.
- Experience working as a data analyst, data scientist or analytics engineer.
- Experience working with cross functional teams, internal and external stakeholders with demonstrated ability to manage expectations.
- Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience.
- Prior experience as a Product (Data) Analyst or working on Product Analytics
- Data analysis and data manipulation in Python (Pandas, PySpark, etc).
- Healthcare industry experience.
- Comprehensive Health Benefits: We prioritize your well-being with complete medical, dental, and vision coverage
- Bonus Program: Be rewarded for your contributions with our performance-based bonus program
- Employee Stock Option Program: Become an owner and share in our success through our stock option program
- Unlimited Paid Time Off: Take the time you need to recharge and maintain a healthy work-life balance
- Spending Accounts: Manage your healthcare and dependent care expenses with tax-advantaged spending accounts
- Wellness Days: Prioritize your mental and physical health with dedicated wellness days throughout the year
- Growth Opportunities: We invest in your future with abundant opportunities for professional development and advancement
- Mentorship Program: Benefit from guidance and support from experienced leaders in your field
- Hiring Manager interview: Discuss your experience, skills, and motivations relevant to the specific job requirements
- Talent Interview: Learn more about our culture, get alignment on your compensation expectation prior to committing to next steps
- Meet the Data Team: Dive into technical discussions and learn how you can make an impact at League.
- Final Steps: Meet our cross-functional team and the Executive leader and share experiences on collaboration and alignment with company values and strategic goals
- Offer and onboarding!
- Compliance with Information Security Policies
- Compliance with League's secure coding practice
- Responsibility and accountability for executing League's policies and procedures
- Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations
- You should receive a confirmation email after submitting your application.
- A recruiter (not a computer) reviews all applications at League.
- If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
- The final step is an offer, which we hope you will accept!
- Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring.
We are committed to ensuring fairness and transparency throughout our hiring process. League may use Artificial Intelligence (AI) tools to assist in the screening of applicants for this position. Please check out our stance on using AI in recruitment .Privacy PolicyReview our for information on how League is protecting personal data.