Build analytics foundations that power smarter decisions. As a Senior Analytics Engineer, you’ll design, optimize, and automate scalable enterprise analytics platforms that enable business and clinical teams to make data-driven decisions confidently. Working closely with Data Engineering and Analytics teams, you’ll build Tableau environments that deliver reliable insights, streamline reporting, and integrate seamlessly across systems including Snowflake, Salesforce Cloud, and Tableau Cloud.Your expertise in Tableau architecture, performance tuning, and Python-based automation will help transform complex data infrastructure into efficient, secure, and high-performing analytics experiences across the organization.Relocation assistance is not available for this position.CI/CD &

• Deployment Design and implement CI/CD pipelines using GitHub Actions to automate the deployment of Tableau dashboards, SQL scripts, and Python code.Establish standards for source control, testing, and release management to ensure reliable and consistent analytics delivery.Tableau Architecture Build scalable Tableau architecture supporting enterprise reporting, and governed data use across teams.Define and maintain standards for Tableau Cloud configuration, data models, permissions, and refresh processes.Dashboard Optimization &

• Performance Enhance dashboard performance by optimizing data sources, extracts,



and queries for efficient load and user experience.Apply performance monitoring and best practices to identify and resolve bottlenecks across reports and infrastructure.Tableau Infrastructure Administer and maintain Tableau Cloud environments, including configuration, upgrades, monitoring, and capacity planning.Implement robust security and access controls for effective governance across analytics assets.Python &

• Automation Develop Python automation tools for Tableau asset management, performance monitoring, and analytics workflows.Build scripts to support seamless integration across Tableau, Snowflake, and Salesforce systems.Data &

• Analytics Engineering Collaborate with Data Engineering to design reusable pipelines and transformations supporting analytics scalability.Translate analytical requirements into reliable, high-performing technical solutions.Bachelor’s degree in Computer Science, Data Engineering, or a related field5+ years of experience in analytics engineering, data infrastructure, or BI platform developmentAdvanced proficiency in Tableau development, architecture,



and dashboard optimizationHands-on experience with Tableau Cloud/Server administrationStrong Python programming and automation skillsPractical experience with CI/CD processes and GitHub or GitLab workflowsSolid understanding of SQL and SnowflakeFamiliarity working within SaaS or software product environmentsWhat Sets You Apart You connect data architecture, analytics, and automation into unified scalable platforms.You care deeply about reliability, monitoring, and performance at every level.You continually find ways to improve performance and automate manual processes.You approach optimization and scalability challenges with a data-driven perspective.At Resmed, your work directly supports our mission to empower millions of people with better health through innovative digital solutions. You’ll collaborate with talented engineers and data professionals who are passionate about creating technology that drives impact—from faster analytics pipelines to smarter insights across healthcare. We invest in your development, celebrate curiosity, and encourage creativity to advance how data shapes the future of connected care.At Resmed, we're shaping the future by investing in our people through competitive pay, flexible work arrangements, and programs that support personal and skilled growth.Medical, dental, vision, life, AD&D;, and disability insuranceHSA, FSA, commuter benefits, and sleep care management401(k), ESPP, EAP, and tuition assistanceFlexible Time Off (FTO) for salaried employees14 paid company holidaysUp to 14 weeks primary caregiver leave or 2 weeks secondary caregiver leave Compensation is based on geographic location, qualifications, experience, skills, and internal equity.

compensation is aligned to local market conditions. Where a culture driven by excellence helps you not only meet your goals, but also create new ones.

📌 Senior Analytics Engineer, Tableau (Winnipeg)
🏢 MEDIFOX DAN
📍 Winnipeg