CNHF Data Analyst II

.Analyzes, 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.

This position will support systems integrations with Salesforce CRM, advanced analytics, business intelligence, and AI initiatives for the Foundation team. Projects will include engaging in list pulls, data updates and entry, ETL / Imports, data quality assessment, and managing tactical projects in Asana. This position offers the opportunity to make a significant impact by way of integrating and enhancing the Foundations future data systems and by contributing to automation initiatives to streamline operations.

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

4 years 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)

• Experience with Big Data;
  Data Processing
• Experience with Data Manipulation;
  Data Mining
• Experience with C# (Programming Language);
  Java (Programming Language);
  Programming Concepts;
  Programming Tools;
  Python (Programming Language); SQL (Programming 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

• 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.
• Collaborate effectively with cross-functional teams.
• Adapt to changing priorities and thrive in a dynamic environment.

• Anticipate and respond to customer needs; follow up until needs are met.