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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.
Job Responsibility:
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
Maintain subject matter expertise in the application and usage of our data as well as our analytics technologies and tools
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
Leverage AI features in Power BI to create dashboards using design guidelines, templates, and requirements provided by the product and design teams to maintain data quality and consistency across reports and dashboards
Use Smart Narrative and AI-driven insights to provide meaningful context and explanations within the dashboards
Provide training and support to end users on navigating and utilizing dashboards and reports, using AI-enabled features, including AI-assisted templates
Stay up to date with PowerBI features and enhancements and implement them across dashboards and reports
Build data models that minimize the cognitive and technical overhead that is required to find and use analytical insights
Requirements:
4+ years of experience in Data & Analytics as an analyst, engineer, or equivalent
3+ years of experience building responsive data visualizations using Power BI, including advanced DAX and data modeling
2+ years of experience designing, implementing, operating, and extending enterprise dimensional models using Analysis Services
2+ years of experience with MS SQL Stack (SSIS, Analysis Services, and Tabular Model Solutions, MDX, DAX)
Hands-on experience with AI-enabled Power BI features like Key Influencers, Anomaly Detection and AI-assisted templates
Solid Knowledge of SQL, Power Query, and ETL processes
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 analytics solutions
Demonstrated understanding of data analysis and business intelligence principles, ability to identify trends and patterns within data sets
Nice to have:
Exceptional communication skills, specifically the ability to translate technical requirements into business context and value
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