Product Analyst II
Role Overview
The Product Analyst II provides expertise in data analysis, business intelligence, and technical solutions for project teams and business partners.
The role develops reports, curates datasets, builds dashboards and visualizations, and creates technical and application solutions.
The analyst supports analysts and technical teams in delivering product initiatives and works with clinical and EMR data.
Key Skills for This Role
Full Job Posting
Role overview
The Product Analyst II provides expertise in data analysis, business intelligence, and technical solutions for project teams and business partners.
The role develops reports, curates datasets, builds dashboards and visualizations, and creates technical and application solutions.
The analyst supports analysts and technical teams in delivering product initiatives and works with clinical and EMR data.
Major responsibilities
- Create a shared vision for data-driven solutions and help prepare and present value propositions or business cases.
- Lead development of standardized enterprise reports and dashboards and perform analysis of databases, unstructured data, and healthcare data.
- Lead data standardization and automation efforts, select analytic toolsets, and create application modules for data-integrated solutions.
- Work with service-line leads to optimize report usage and assist management with task prioritization.
- Coordinate product delivery across departments, meet project dates, and complete analyst deliverables on time.
- Improve data quality and consistency, analyze process controls, establish common vocabulary, and perform root-cause analysis.
- Document work products, manage target dates, and combine and normalize information from disparate sources with stakeholders.
Qualifications
- Bachelor’s degree.
- Three or more years of clinical or healthcare data analytics experience.
- Three or more years of SQL or BigQuery database experience.
- One or more years of experience with Microsoft Azure, Google Cloud, or AWS.
- One or more years of experience with Python, R, or similar languages.
- Healthcare and data knowledge, with ability to assess enterprise cloud and on-premise data systems.
- Experience throughout the data analytics project lifecycle, from requirements gathering and architecture through implementation and support.
- Strong communication skills and ability to understand data needs and work with product analysts and business users.
- The ideal candidate has an interest or background in clinical or healthcare data and a curious, critical approach to data quality and presentation.
- SQL, BigQuery, Tableau, Power BI, Python, or R expertise is mentioned as a plus in the ideal-candidate description.
Knowledge and skills
- Relevant systems and tools include SQL Server, Teradata, Microsoft Azure, Google Cloud, AWS, Tableau, and Power BI.
- The role calls for data storytelling, critical thinking, clear presentation, and handling technological obstacles.
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