Senior Tableau Developer

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!

About ResMed

ResMed has pioneered some path breaking solutions to improve people’s lives and our mission is to change 250 million lives in 2025. The focus of the products and technologies is to complete the care continuum in the ‘out-of-hospital’ space, enable seamless transitions for people as they move between different care setting and empower the care givers with actionable data and insights that can transform the way care is delivered. The vision is to continuously push the boundaries of innovation, improve patient outcomes and put the patients and care givers at the center of every innovation that we pursue.

Job Summary 

At ResMed, Analytics Engineering is how we make our invaluable data available and accessible to the people and systems that need it, as we develop and deliver 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. 

Our 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. As such, they are required to be equally skilled in the tools and methods of analytics development as they are in the contextual particulars of the business domain to which they are dedicated. Technical expertise, in combination with business acumen, is the collective, aspirational skill set that enables our Analytics Engineers to continually identify and build highly impactful and scalable solutions. 

Let’s talk about Responsibilities 

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

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

• 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

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

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

• Experience building responsive data visualizations using Tableau

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

• Experience working on Tableau administration

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

• Experience with MS SQL Stack (SSIS, Analysis Server, and Tabular Model Solutions) 

• Experience building end to end BI solutions

• Demonstrated capacity to communicate complex business activities, technical requirements, and recommendations clearly and concisely 

• Demonstrated ability to self-manage priorities and workflow 

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

Preferred

• Exceptional communication skills, specifically the ability to translate technical requirements into business context and value 

• Experience working closely with Data Engineers, Data Scientists, and Machine Learning Engineers to extend the value and impact of analytics solutions 

• Experience creating/running using Python or Pyspark jobs within Azure and AWS 

• Experience setting up serverless functions using AWS Lambda or Azure functions 

• Experience with Docker Containers and Kubernetes 

#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.