高级数据分析师 | 加拿大 | 远程
Sr. Data Analyst | Canada | Remote
关于Sutherland：
在Sutherland Healthcare Solutions，我们通过利用人工智能、数据和数字创新的力量，正在改变我们的工作方式，以加速救命疗法的发现和开发。我们的愿景是将人工智能和高级分析嵌入到我们科学和运营流程的每个阶段——通过更智能的工具、无缝的数据和可操作的见解，赋能我们的团队，提供以客户为中心的服务和解决方案，更好地服务我们的客户，最终改善患者的生活。
**加拿大总部**（远程）
作为一位高级数据分析师，你将是企业数据与分析团队中推动洞察力和创新的关键人物。我们寻找一位充满好奇心、注重细节的专业人士，能够在复杂科学和运营数据中提炼出清晰、可操作的智能。在这个职位上，你将主导开发分析解决方案，揭示关键KPI，发现绩效趋势，并支持业务中的战略决策。你将与利益相关者紧密合作，映射业务流程，确保数据解决方案符合实际运营需求，并进行深入分析，解决高价值挑战。这是一个高影响力的机会，可以塑造数据如何影响策略，并为我们的使命——创造更健康的生活做出贡献。
作为高级数据分析师，你的工作重点包括：
我们的团队崇尚好奇心、协作和对卓越的承诺。我们与跨职能的工程和业务合作伙伴密切合作，交付有影响力的数据显示和分析解决方案，塑造研究和开发的未来。
在该职位中，主要职责包括：
· 分析复杂的科学数据集，以发现有意义的洞察并支持战略计划。
· 映射关键的业务流程规则，以确保数据解决方案符合运营现实。
· 创建以洞察力为导向的解决方案，使关键KPI和绩效指标可见。
· 进行深入分析，解决具有挑战性的问题并支持基于证据的建议。
· 与各层级的业务利益相关者互动，识别当前和未来产品的需求。
· 领导新数据、产品和分析解决方案的需求研讨会和用户验收测试。
· 分析业务流程并开发业务流程图和数据流程图，以支持系统设计和优化。
· 跨职能合作
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About Sutherland:
At Sutherland Healthcare Solutions, we’re transforming how we work by harnessing the power of AI, data, and digital innovation to accelerate the discovery and development of life-saving therapies. Our vision is to embed artificial intelligence and advanced analytics across every stage of our scientific and operational workflows—empowering our teams with smarter tools, seamless data, and actionable insights to deliver client-centric services and solutions that better serve our customers and, ultimately, improve patients’ lives.
**CANADA BASED**(remote)
As a Senior Data Analyst, you’ll be a key driver of insight and innovation within our Enterprise Data and Analytics team. We’re looking for a curious, detail-oriented professional who thrives on turning complex scientific and operational data into clear, actionable intelligence. In this role, you’ll lead the development of analytical solutions that illuminate critical KPIs, uncover performance trends, and support strategic decision-making across the business. You’ll partner closely with stakeholders to map business processes, align data solutions with real-world operations, and conduct deep-dive analyses that solve high-value challenges. This is a high-impact opportunity to shape how data informs strategy and contributes to our mission of creating healthier lives.
As a Sr. Data Analyst you will be focused on:
Our team thrives on curiosity, collaboration, and a commitment to excellence. We work closely with cross-functional engineering and business partners to deliver impactful data and analytics solutions that shape the future of research and development.
In this role, primary responsibilities include:
· Analyzing complex scientific datasets to uncover meaningful insights and support strategic initiatives.
· Mapping key business process rules to ensure data solutions align with operational realities.
· Creating insight-driven solutions that bring visibility into critical KPIs and performance metrics.
· Conducting deep-dive analyses to solve challenging problems and support evidence-based recommendations.
· Engage Business Stakeholders at all levels to identify requirements for current and future products through ongoing interaction.
· Lead requirements workshops and User Acceptance Testing for new data, products and analytics solutions.
· Analyze business processes and develop business flow diagrams and data flow diagrams to support system design and optimization.
· Work cross-functionally with engineering, product, and business teams to ensure alignment and successful delivery.
· Data Profiling, mining, and data validation/testing to ensure data is fit for use by the business.
· Perform ad-hoc analysis and present results in a clear and user-friendly manner.
· Build strong business relationships that foster a collaborative and trusting approach and partnership.
We are looking for the following minimum qualifications for this role:
· Bachelor degree in Business Management, Computer Science or any related field.
· Master in Business Administration/ Information Systems/ Computer Science is an asset.
· Excellent analytical and problem-solving skills with the ability to approach challenges creatively.
· Ability to understand and make sense of complex datasets with a strong attention to detail
· Ability to translate requirements to well-written user stories to bridge the gap between business and technology.
· Strong business mindset with ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery.
· Ability to see big picture and then identify key areas for deep analysis to support sound solutions.
· Self-driven and capable of working both independently and collaboratively within a team setting.
· Experience in life science or Biotechnology industry is a plus.
· MUST be based in Canada
Technical Expertise required:
· Minimum of 5 years’ experience in writing complex SQL queries, data mining, data profiling, and data validation/testing;
· Minimum of 5 years’ experience as a Business Systems Analyst / Data Analyst specializing in the Data & Analytics discipline, preferably in a senior or lead role;
· Minimum of 5 years’ experience organizing and running User Acceptance Testing cycles and training with business users and stakeholders;
· Experience working with Data Visualization Tools like Power BI, Tableau, Looker, MicroStrategy
· Experienced working in Agile Software Development Methodology.
All your information will be kept confidential according to EEO guidelines.
EEOC and Veteran Documentation
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At times, government agencies require periodic reports from employers on the sex, ethnicity, handicap, veteran and other protected status of employees. The purpose of this Administrative EEO Record is for statistical analysis only and is used to comply with government record keeping, reporting, and other legal requirements. Periodic reports are made to the government on the following information. The completion of the Administrative EEO record is optional. If you choose to volunteer the requested information, please note that all
Administrative EEO Records are kept in a Confidential File and are not part of your Application for Employment or Personnel file.
Please note: YOUR COOPERATION IS VOLUNTARY. INCLUSION OR EXCLUSION OF ANY DATA WILL NOT AFFECT ANY EMPLOYMENT DECISION.