ResMed has always applied the best of technology to improve people's lives. Now our SaaS technology is fueling a new era in the healthcare industry, with dynamic systems that change the way people receive care in settings outside of the hospital–and tools that work every day to help people stay well, longer. We have one of the largest actionable datasets in the industry, creating a complete view of people as they move between care settings. This is how we empower providers–with vital insight to deliver the care people need, right when they need it.

We're also ensuring that our health solutions connect to other companies' networks. Because when objectives align, everyone wins. And as we work today to drive better care and lower costs, we're developing more personalized solutions for tomorrow, utilizing machine learning, intelligent care paths, and predictive protocols. If you are an innovator who wants to make an impact we want to talk to you! We have exciting opportunities supporting Brightree by ResMed and MatrixCare by ResMed!

Let's talk about the Team

At ResMed, Tableau Analytics Engineering is how we make our invaluable data available and accessible to the people and systems that need it, while developing and delivering solutions that cater to the unique needs of our customers and patients. Analytics Engineers make our data more useful by building robust, efficient, and integrated data models and analytics products that support every part of our company.

Let's talk about the Role

Our Tableau Analytics Engineers are part of a centralized, but dedicated group of expert analytics practitioners, all working in support of Resmed’s business strategy and objectives. They are responsible for driving the development and integration of BI dashboards and analytics solutions that support both internal teams and customer-facing features. As such, they must possess a unique combination of technical expertise and deep business acumen, enabling them to create solutions that are not only scalable and efficient but also strategically aligned with our goals of accelerating time-to-market, enhancing self-service analytics, and providing actionable insights through AI-powered tools.

Let’s talk about Responsibilities

Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models

Design, develop, and extend BI solutions that maximize impact and utility for data users and consumers

Create interactive dashboards with visualizations like charts, graphs, maps, and tables that effectively communicate complex data patterns, incorporating AI-enabled visuals like Key influencers, Anomaly detection, and decomposition tree

Use data modeling expertise to enable other analytics practitioners through code reviews, pairing, and training. This will help deliver optimal, DRY, and scalable database designs and queries in Snowflake

Design, develop, and extend dbt code to extend the Enterprise Dimensional Model

Craft code that meets our internal standards for style, maintainability, and best practices; maintain and advocate for these standards through code review

Approve data model changes as a part of review processes, and act as an owner for specific database and data model schemas

Design, develop, and extend BI solutions that maximize impact and utility for data users and consumers

Build data models that minimize the cognitive and technical overhead that is required to find and use analytical insights

Maintain subject matter expertise in the application and usage of our data as well as our analytics technologies and tools

Let’s talk about Qualifications and Experience

Required Skills

4+ years of experience in Data & Analytics as an analyst, engineer, or equivalent

Very good communication skills, specifically the ability to translate technical requirements into business context and value

Experience designing, implementing, operating, and extending enterprise dimensional models

Experience building responsive data visualizations using Tableau

Experience building end to end BI solutions

Demonstrated experience using the tools of Analytics Engineering such as GitHub, DBT efficiently and effectively

Demonstrated experience designing, implementing, operating, and extending enterprise dimensional models within Snowflake or SQL

Demonstrated ability to self-manage priorities and workflow

Demonstrated experience creating and developing partnerships with internal team members towards the delivery of impactful analytics solutions

Preferred Skills

Experience working closely with Data Engineers, Product Owners, Data Scientists, UX/UI Design Team, and Machine Learning Engineers to extend the value and impact of analytics solutions

#LI-India

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.