Senior Business Data Analyst, Management

For over 50 years, Life Labs has been Canada’s leading provider of laboratory diagnostic information and digital health connectivity systems, enabling patients and healthcare practitioners to diagnose, treat, monitor and prevent disease. We are passionate about empowering healthier Canadians through accessible, accurate, and innovative diagnostic services.

We are committed innovators, operating Canada's first commercial genetics lab, and the country's largest online patient portal, with more than 8 million Canadians receiving their results online. More than 112 million laboratory tests come through Life Labs’ laboratories annually, and our team of more than 6,000 passionate, caring, and diverse professionals works together as one to provide high quality testing and results that Canadians can trust.

We know that behind every lab requisition, sample being tested, or investment in technology is an individual and their family counting on us. At Life Labs, you can make a meaningful impact on Canadians’ lives every day.

Our teams are at the heart of everything we do. We are proud to be recognized as one of Canada’s Best Employers, reflecting our deep commitment to our core values of caring, agility, teamwork, and a customer‑centered approach. As part of this commitment, Life Labs prioritizes the ongoing development of our diversity, equity, and inclusion (DEI) program to better serve the needs of our diverse workforce and the communities we serve.

We continue to take steps to challenge ourselves to act with courage and integrity, and to create an environment where people can be their true selves.

These values are not just words on a page, they guide our actions and decisions every day and have come to define our team culture.

Reports to:

Senior Manager, Performance Management & Insights

Vacancy status:
This posting is for an existing position.

We are looking for an experienced and highly skilled Senior Business Data Analyst to join our Performance Management & Insights team. In this role, you will help drive data‑informed decision‑making across Life Labs’ national operations by developing trusted reporting, operational KPIs, self‑serve Power BI dashboards, and actionable insights that support business performance.

This is not only a reporting role. The successful candidate will help strengthen our operational analytics capability by applying advanced analytics, statistical thinking, forecasting, and automation to identify performance risks, evaluate business outcomes, and support proactive decision‑making. You will work closely with operational leaders, Finance, IT, Data Management, and cross‑functional partners to translate complex business problems into clear analytical approaches and practical recommendations.

• Develop, maintain, and enhance operational reporting capabilities that provide leaders with timely, accurate, and actionable performance insights.
• Design and build comprehensive Power BI reports, self‑serve tools, scorecards, and operational health dashboards for Operations leaders, senior leadership, and executive audiences.
• Establish, monitor, and evolve critical KPIs that help measure operational performance, business outcomes, productivity, service levels, and the impact of change.
• Analyze operational, workforce, financial, and performance data to identify trends, risks, root causes, and opportunities for improvement.
• Apply statistical analysis, forecasting, simulation, and basic predictive modelling techniques to support proactive decision‑making and operational planning.
• Use Python, SQL, Power BI, DAX, M Query, Excel, and AI‑enabled tools to automate recurring analysis, improve analytical workflows, and develop scalable insights beyond traditional reporting.
• Partner with Finance to support budget optimization, monitor performance against plan, and identify opportunities to reduce variance.
• Collaborate with subject matter experts to extract, cleanse, validate, and analyze complex information from multiple data sources.
• Support workforce management, capacity planning, and forecasting by using historical data,…