Data Analyst II

Data Analyst II

The Data Analyst II ensures the highest standards of data management and analysis activities for use in decision making and improvement initiatives within the assigned area of operations. The role is responsible for conducting moderately complex data analysis and report creation, collaboration across departments, and data stewardship. Specific duties and areas of focus vary by department.

Estimated Hiring Range:

$74,250.00 - $90,750.00

Bonus Target:

Bonus - SIP Target, 5% Annual

• Collaborate with business partners (and department leadership as needed) to understand business needs, define the questions, and define the objectives of the assigned department.
• Learn and maintain a strong understanding of internal and external systems and data sources as needed (specific needs vary by department).
• Identify current and emerging analysis and reporting needs.
• Employ moderately complex data collection methods and prepare data for analysis.
• Write moderately complex queries to create routine and customized reports.
• Improve, augment and develop new analysis capabilities (e.g. methodologies, reports, etc.) as needed.
• Develop simple to moderately complex analysis and visual reporting capabilities and tools (e.g., recurring reports, dashboards, etc.); maintain and improve dashboards.
• Monitor data and keep leadership informed of any anomalies, output or results needing research, and the status of metrics; provide status reports.
• Summarize and report data as appropriate (e.g., frequency distributions, measures of central tendency, measures of variability, pivot tables, etc.).
• Explore data to uncover any patterns, trends, unexpected changes or outliers.
• Synthesize data (i.e., combine, integrate and evaluate data).
• Employ quality assurance methods and procedures to ensure accuracy, reliability and validity of synthesized data.
• Learn and assist in use of diagnostic analytics methods as needed (e.g., probability theory, regression analysis, filtering, and time-series analysis, etc.) to identify, understand and respond to anomalies in the data.
• Assist in preparation of projection analyses on claims and utilization, including underlying trends and risk analysis.
• Perform research and analysis of healthcare-related data.
• Create data visualizations (e.g., PowerPoint, graph, tables, etc.) and narrative formats as appropriate to convey meaning with clarity.
• Provide basic to intermediate level analytics and statistical support to translate complex data into meaningful information for decision makers.
• Present analyses and findings to internal leaders and external stakeholders; translate complex data into meaningful insights and recommendations with clarity and concision.
• Create documentation as needed for models, algorithms, data products, processes, reports developed, etc.
• Contribute ideas for ways to improve processes, policy and programs.
• May participate in project meetings as needed.
• Support less experienced analysts in all aspects of the role.

• Serve as a key point of contact and partner related to data analysis within assigned team; act as subject matter expert for questions related to department data.
• Partner with other analysts, departments and lines of business to collaborate on reports, share data and information, and assist as needed to meet the needs of the organization.
• Collaborate with ISBI staff to improve administrative data collection, define data elements for the reporting dashboards, and finalize reporting specifications.
• Support collaboration with department leadership, quality improvement analysts, and others to implement workflow and other process improvements.
• Actively participate in Care Oregon’s community of practice to share knowledge and contribute to the learning of others.
• Depending on the assigned department, may engage with external partners for technical assistance or support as needed.

• Ensure the quality and integrity of data and data management practices.
• Develop and maintain deep understanding of the data, data infrastructure and processes used for reporting department metrics and for measuring operational and/or program performance.
• Create department-level curated data sets for consumption by others within the assigned team.
• Create and maintain technical documentation such as data dictionaries, business glossaries, metric definitions and other data resources.

Experience and/or…