Data Analyst II

The Data Analyst II i ntegrates, conforms, profiles and maps data and provides quality assurance oversight (data error detection and correction) on business processes where data is collected, stored, transformed, or used. Examines more complex data to optimize the efficiency and quality of the data being collected, resolves complex data quality problems and collaborates with the business and ETL database developers to improve systems and database design.

Qualifications:
Minimum Education
Bachelor's Degree Bachelor's degree in a quantitative or business field (e.g., Statistics, Mathematics, Engineering, Computer Science) (Required)

Minimum Work Experience
Requires deep functional knowledge with 2 - 4 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required)

Required Skills/Knowledge
Experience with Big Data; Data Processing.
Experience with Data Manipulation; Data Mining
Experience with C# (Programing Language); Java (Programing Language); Programing Concepts; Programing Tools; Python (Programing Language); SQL (Programing Language)
Experience with Agile Software Development
Optional:
Experience in the healthcare field
Experience with healthcare data policies
Microsoft certifications in Azure
Experience with Microsoft Fabric

Functional Accountabilities
Core areas of responsibility that fall under this role include:

• Interprets and analyzes data from multiple sources, including patient, provider, encounters data, etc. Proactively identifies and assesses the business impact of trends.

• Develops, executes, maintains, and troubleshoots moderately complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools.

• Identifies and performs root-cause analysis of data irregularities and presents findings and proposed solutions to leadership and/or customers.

• Manages multiple complex and variable tasks and data review processes with limited supervision within targeted timelines and thrives in a demanding, quick changing environment.

• Provides business solution architecture and implementation validation.

• Engages in data profiling and source to target mapping.

• Works on moderately complex data integration from disparate sources.

• Applies expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products.

• Supports multiple functions and levels of the organization and effectively both verbally and visually, communicates findings and insights to non-technical business partners.

• Engages with customers and business partners to gather requirements and validate results.

• Presents data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required.

• Performs other duties as assigned.

• Complies with all policies and standards.

• Seeks to acquire knowledge in area of specialty.

• Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.

• Ability to work independently.

• Great verbal and written communication skills, communicate complex findings in a clear and understandable manner

• Great facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation

• Attention to detail.

• Communicate complex findings in a clear and understandable manner

• Collaborate effectively with cross-functional teams

• Adapt to changing priorities and thrive in a dynamic environment