Business Data Analyst (hybrid)

The Consumer business is a key growth engine for GreenShield, focused on delivering innovative health, dental, travel, and wellness solutions directly to Canadians through a growing network of distribution channels, strategic partnerships, and digital experiences.

Asbusinesscontinues to scale throughgrowthinitiatives,analytics plays an increasingly critical role in enabling data-driven decision-making, improving business performance, andidentifyingopportunities for growth, profitability, and operational efficiency.

This is an exciting opportunity to join a high-growth, transformational area of the business, where insights, innovation,AIadoptionand analytical thinking directly influence strategic decisions and help shape the future of the Consumer business.

The Business Data Analyst plays a key role in building andmaintainingthe data foundations that enable analytics,reporting, AI use cases,and business decision-making across the Consumer business. The role acts as a bridge between business stakeholders, analytics, and technology teams by translating businessproblemsinto data requirements, ensuring data integrity, and supporting scalable reporting and analytics solutions. The Business Data Analyst partners closely with Product, Delivery, IT, and business teams to improve data quality, automate processes, and deliver trusted insights that support growth, profitability, and operational performance.

KeyResponsibilities:

Data & Reporting Solutions

• Build andmaintaindatasets, reports, and data structures that support operational and strategic analytics needs.

• Translate business processes and requirements into scalable data and reporting solutions.

Business & Technical Partnership

• Partner with business, analytics, and technology teams to understand data flows, support solution design, and enable informed decision-making.

• Support project delivery activities through data analysis, testing support, documentation, and stakeholder collaboration. 

Data Quality & Governance

• Ensure data quality through validation, reconciliation, issue investigation, and root-cause analysis activities.

• Support the development and adoption of consistent data definitions, governance practices, and reporting standards.

Analytics Enablement

• Contribute to continuous improvement of analytics capabilities, reporting frameworks, and business intelligence solutions. 

• Help business teamsleveragetrusted data and reporting to improve performance management and decision-making.

AI and Automation

• Identifyand implement opportunities for automation, efficiency improvements, and reporting standardization.

• Support the adoption of AI-enabled solutions, predictive analytics, and advanced reporting capabilities that improve business performance and decision-making.

• Document processes and support knowledge sharing to improve scalability, consistency, and long-term sustainability of analytics capabilities.