
Principal Data Analyst
- Dublin
- Permanent
- Full-time
Our teams are at the forefront of building and adapting the latest technologies to propel healthcare forward in a way that better serves everyone. With our hands at work across all aspects of health, we use the most advanced development tools, AI, data science and innovative approaches to make the healthcare system work better for everyone.Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin and telecommuting from a home-based office in a hybrid work model.Primary Responsibilities:
- Deliver technology & process improvements that bring to application to deliver measurable benefits.
- Working with stakeholders to refine data requirement and roadmaps.
- Drive innovation by testing new technology and approaches to continually advance the capability of the data engineering function.
- Lead and Mentor the team of Data Analysts and Data Engineers.
- To Scope, Design, build, test and implement tactical & strategic solutions.
- Engage with stakeholders and provide insights and recommendations on process/system improvements that will support delivery & data strategy.
- Utilizing SQL to create net new solutions, modify existing content and distribute the data to users and other systems.
- Develop Data Standards and deploys automation tools to obtain and process data from different sources.
- Drive the development, monitoring, review, and evaluation of new metrics, KPIs, key risk indicators, reports & dashboards, utilizing data discovery techniques across complex data sets. Building Azure Data services to support development activities (Azure SQL Server, ADF, Databricks) and some on-premises Microsoft SQL Database servers.
- Provide recommendations to the development team regarding query optimization.
- Project leadership as required.
- Maintain & refine Data Backlog for Engineering team based on Stakeholder engagements & business Priorities.
- Solid SQL experience, including experience with various Database technologies (e.g. Oracle, Microsoft SQL Server, DB2, Teradata etc.)
- Proficient Python, Spark or PySpark experience
- Experience in data ETL and blending tools
- Demonstrated ability to communicate ideas clearly and concisely in writing and orally to individuals and groups.
- Hands-on experience developing data pipelines that demonstrate a solid understanding of software engineering principles.
- Power Platform (PowerBI, PowerApps, PowerAutomate)
- Experience building data pipelines on either AWS, Azure or GCP, following best practices in Cloud deployments
- Understanding of system hardening, and threat and vulnerability management
- Data migration projects / Dev-ops / Data-Dev-Ops / Query Optimization.
- Proven track record in delivering technology driven solutions through full project life cycle