About the job
Position Type - Permanent
If you’re looking for a fulfilling career that can make a real difference in your life, and the lives of others, you’ve come to the right place.
As a national health solutions partner, we put people first in everything we do — and that begins with our team of 8,000+ professionals who bring a cross-section of diverse life experiences and career expertise to Medavie. By collaborating and innovating together, our employees are creating industry-leading solutions in insurance, primary care and emergency medical services that impact millions of lives in Canada each year.
Our mission is to improve the wellbeing of Canadians so that every life can be lived to the fullest — and it’s reflected in our award-winning culture. We celebrate individuality and value the diverse perspectives and skills our employees contribute. We go beyond providing competitive pay and comprehensive benefits to offer opportunities for personal and professional growth, flexible work options, meaningful experiences, and supportive leadership. Medavie is where employees can be their best selves, feel they belong, and achieve their full potential. Be part of it by applying for a position with us today.
Position Summary
The Data Analyst, Finance plays a critical role in transforming raw financial and operational data into trusted, analytics-ready datasets for end users across Finance and the business. This role combines strong technical skills in data transformation and ETL processes with a solid understanding of financial accounting, financial reporting, and financial planning & analysis (FP&A). Working closely with Finance, IT, and Analytics teams, this role ensures that data flowing through the enterprise data platform (i.e. Snowflake) for finance users and stakeholders is accurate, well-structured, well-documented, and aligned to financial concepts and reporting requirements. The role is essential in enabling self-service reporting, management insights, and enterprise decision-making.
Key Responsibilities
- Data Cleansing and Transformation: Design and manage data structures within the data platform environment (i.e. Snowflake). Implement rigorous cleaning protocols within Snowflake to resolve data discrepancies and ensure the accuracy of financial or operational datasets. Transform data to be reporting ready for use with external tools like Power Query for access to "single source of truth."
- Data Governance & Quality: Assist in supporting data governance practices for finance data. This includes maintaining thorough documentation of data definitions and lineage, enforcing data quality controls and reconciliation checks, and ensuring proper data security and compliance with financial reporting