ResMed Logo

ResMed

Senior Analytics Engineer, Tableau

Posted 19 Days Ago
In-Office
Halifax, NS
133K-166K Annually
Senior level
In-Office
Halifax, NS
133K-166K Annually
Senior level
Designs and administers scalable Tableau analytics platforms, optimizing dashboards, data sources, extracts, queries, and cloud infrastructure. Builds CI/CD pipelines and Python automation for Tableau, Snowflake, and Salesforce integrations. Establishes governance, security, monitoring, and performance standards while collaborating with Data Engineering and Analytics teams to deliver reliable enterprise reporting solutions.
The summary above was generated by AI
Build analytics foundations that power smarter decisions.

You play a key role in shaping the technology backbone behind Resmed’s advanced analytics ecosystem. 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.


This position may be based in Peachtree Corners, GA; San Diego, CA; or Halifax, Nova Scotia, Canada. Relocation assistance is not available for this position.


What You’ll Do

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.

What You Bring


  • Bachelor’s degree in Computer Science, Data Engineering, or a related field
  • 5+ years of experience in analytics engineering, data infrastructure, or BI platform development
  • Advanced proficiency in Tableau development, architecture, and dashboard optimization
  • Hands-on experience with Tableau Cloud/Server administration
  • Strong Python programming and automation skills
  • Practical experience with CI/CD processes and GitHub or GitLab workflows
  • Solid understanding of SQL and Snowflake
  • Familiarity working within SaaS or software product environments

What Sets You Apart

  • Systems Thinker - You connect data architecture, analytics, and automation into unified scalable platforms.
  • Operational Excellence - You care deeply about reliability, monitoring, and performance at every level.
  • Collaborative Partner - You engage cross-functional teams to deliver seamless analytical solutions.
  • Builder’s Mindset - You continually find ways to improve performance and automate manual processes.
  • Analytical Depth - You approach optimization and scalability challenges with a data-driven perspective.
  • Adaptive Problem Solver - You thrive in evolving technology environments and complex system integrations.

Why Join Resmed

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.


Benefits and Compensation

At Resmed, we're shaping the future by investing in our people through competitive pay, flexible work arrangements, and programs that support personal and professional growth.


Benefits (employees regularly scheduled to work 30+ hours per week) include:

  • Medical, dental, vision, life, AD&D, and disability insurance
  • HSA, FSA, commuter benefits, and sleep care management
  • 401(k), ESPP, EAP, and tuition assistance
  • Flexible Time Off (FTO) for salaried employees
  • 14 paid company holidays
  • Up to 14 weeks primary caregiver leave or 2 weeks secondary caregiver leave

Compensation: Compensation is based on geographic location, qualifications, experience, skills, and internal equity. For positions outside the U.S., compensation is aligned to local market conditions. Resmed generally does not hire at or near the top of the pay range.


Pay Range: $133,000 - $166,000 USD Annual

Eligible employees may have the opportunity to participate in incentive compensation programs, subject to applicable plan terms and eligibility requirements. 


#LI-NAM

Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.

 

Similar Jobs

Yesterday
Hybrid
96K-125K Annually
Entry level
96K-125K Annually
Entry level
Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Analytics • Industrial
Manages John Deere’s construction and forestry sales territory by partnering with dealers, engaging customers, driving whole-goods and attachment sales, achieving revenue and margin targets, implementing strategic initiatives, and supporting dealer training, product consultations, events, and associations. The role requires substantial travel within the assigned territory and strong relationship-building, communication, planning, sales, marketing, and business analysis skills.
Top Skills: ExcelMicrosoft Office SuiteMicrosoft OutlookMicrosoft PowerpointMicrosoft Word
Yesterday
Easy Apply
Remote or Hybrid
Easy Apply
299K-447K Annually
Expert/Leader
299K-447K Annually
Expert/Leader
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Own the direction and implementation of Babylist’s personalization domain, including recommendation, search, feed models, custom embeddings, and shared representations. Take ambiguous problems from concept through production, owning architecture, deployment, monitoring, retraining, evaluation, and customer impact. Partner with product, design, and data, establish AI development standards, make cross-team technical decisions, and coach senior engineers while remaining hands-on with complex machine learning systems.
Top Skills: AirflowAmazon Bedrock AgentcoreAWSAws SagemakerDatadogDbtDeep LearningGithub ActionsHexKotlinKubernetesLangchainLaunchdarklyMatrix FactorizationMlflowMySQLPackwerkPandasPythonPyTorchRuby on RailsReactRetrieval And RankingScikit-LearnSidekiqSigmaSnowflakeSwiftTerraformTypescriptWarpstreamWeaviateXgboost
Yesterday
Remote or Hybrid
7 Locations
136K-245K Annually
Senior level
136K-245K Annually
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Owns quality assurance for cryptocurrency and sanctions compliance programs, including sampling, decision reviews, metrics, risk reporting, corrective actions, and continuous improvement. Partners with BSA/CFT and Sanctions program owners and leadership to ensure compliance standards align with regulatory requirements and product growth. Requires deep AML, KYC, sanctions, and fintech compliance expertise, strong analytical and communication skills, executive influence, and AI fluency.
Top Skills: Ai/Ml-Driven Compliance ToolsArtificial IntelligenceCryptocurrencyMachine LearningRisk-Decisioning Tools

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account