Sr. Data Analyst

Accountabilities: • Analyze complex scientific and operational datasets to uncover meaningful insights, identify trends, and support strategic business initiatives and evidence-based decision-making.

• Translate business processes and operational rules into clear data requirements, ensuring that analytical solutions accurately reflect real-world workflows and business needs.

• Develop insight-driven analytical solutions that improve visibility into critical KPIs, performance metrics, and business outcomes.

• Conduct detailed and ad-hoc analyses to investigate complex problems, identify root causes, and provide clear, actionable recommendations to stakeholders.

• Engage with business stakeholders at different levels to understand current and future requirements, identify opportunities, and shape effective data and analytics solutions.

• Lead requirements workshops and User Acceptance Testing cycles for new data products and analytics solutions, while supporting business users through testing and training activities.

• Analyze business processes and create business flow diagrams and data flow diagrams to support solution design, process optimization, and improved data delivery.

• Perform data profiling, data mining, validation, and testing activities to ensure that datasets are accurate, reliable, and fit for business use.

• Collaborate closely with engineering, product, and business teams to align requirements, coordinate delivery, and ensure successful implementation of analytics solutions.

• Build strong and trusted relationships with stakeholders while presenting analytical findings in a clear, accessible, and user-friendly manner.

Requirements

• Bachelor’s degree in Business Management, Computer Science, Information Systems, or a related field is required, while a Master’s degree in Business Administration, Information Systems, Computer Science, or a related discipline is considered an asset.

• At least 5 years of experience writing complex SQL queries and performing data mining, data profiling, data validation, and data testing activities is required.

• At least 5 years of experience working as a Business Systems Analyst or Data Analyst within a Data & Analytics discipline, ideally in a senior or lead capacity.

• At least 5 years of experience organizing and leading User Acceptance Testing cycles and working directly with business users and stakeholders through testing and training.

• Hands-on experience with data visualization and business intelligence tools such as Power BI, Tableau, Looker, or MicroStrategy is required.

• Experience working within Agile software development environments and collaborating effectively across technical and business teams is important.

• Strong analytical and problem-solving capabilities are required, with the ability to approach complex challenges creatively and identify the most relevant areas for deeper investigation.

• Strong attention to detail and the ability to interpret complex datasets, identify meaningful patterns, and translate findings into practical business solutions are essential.

• The ability to translate business requirements into well-written user stories and effectively bridge communication between business stakeholders and technology teams is important.

• A strong business mindset, combined with the ability to identify opportunities for improved data management, analytics, and delivery, is required.

• You should be able to understand the broader business context while also identifying specific areas where detailed analysis can support sound decisions and effective solutions.

• A self-driven and collaborative working style is essential, with the ability to operate independently while contributing effectively within cross-functional teams.

• Experience within the life sciences or biotechnology industry is considered an asset.

• Candidates must be based in Canada .

Benefits

• Fully remote opportunity for candidates based in Canada, offering flexibility to work from a location that supports productivity and collaboration.

• Opportunity to work on high-impact data and analytics initiatives involving complex scientific and operational datasets.

• Exposure to cross-functional collaboration with engineering, product, business, and other stakeholder groups.

• Opportunity to contribute to strategic decision-making by turning data into actionable insights and measurable business intelligence.

• Professional growth through involvement in data products, analytics solutions, Agile delivery, stakeholder engagement, and advanced analytical challenges.

• Inclusive and collaborative working environment focused on curiosity, innovation, excellence, and meaningful business impact.

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