Senior Business Data Analyst, Management

Reports to

Senior Manager, Performance Management & Insights

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, operational trends, and statistical models to assess staffing needs and service‑level risks.

• Partner with Operations leaders to understand business problems, define analytical requirements, and develop insight products that support better decision‑making.
• Translate complex data and analysis into clear, practical recommendations for non‑technical stakeholders.
• Support continuous improvement initiatives by identifying performance gaps, measuring the impact of interventions, and helping leaders prioritize action.
• Build a strong understanding of end‑to‑end business processes across operational departments to ensure analytics are relevant, trusted, and actionable.
• Work cross‑functionally with Finance, IT, Data Management, Decision Sciences, and operational teams to improve data quality, reporting processes, and analytical capabilities.

• Support data governance practices to ensure operational reports and dashboards are accurate, consistent, standardized, and aligned to internal definitions.
• Validate data sources, business rules, KPIs, and reporting outputs to ensure business users can trust the information being used for decision‑making.
• Document analytical logic, reporting processes, data definitions, and business rules to support transparency and sustainability.
• Lead or support change management activities after dashboard and reporting delivery to help business teams adopt, embed, and fully use data in daily decision‑making.
• Provide training, guidance, and support to help stakeholders interpret insights and use analytics tools effectively.

• 5+ years of experience in business intelligence, data analysis, operational reporting,…