Data Analytics Specialist and Technical Consultant

Job Title: Data Analytics Specialist and Technical Consultant.

Location: Albany, NY

Job Type: Contract

Job Summary

This project is designed to deliver an integrated health care data warehouse and analytic platform to provide policymakers, researchers, and consumers with a comprehensive repository of health care information. This will be used for quality measurement, population health monitoring, value-based purchasing, research, and consumer information. The ideal candidate Is involved with all facets of the software development process, including the research, design, programming, testing and implementation of computer software.

Qualifications

• 84 months experience in designing and implementing data visualizations on analytics platforms such as Tableau.
• 84 months experience with analysis of complex business rules, workflow processes, and re-engineering business processes.
• 84 months experience with data processing and analysis using Python on Linux platform.
• 72 months experience writing trasformations with healthcare data.
• 72 months experience with relational and NoSQL databases (like Oracle, Postgres, MongoDB, DynamoDB, etc) containing large amounts of data (greater than 10 million rows).
• 72 months experience authoring a complete set of technical documentation
• Bachelor's degree or higher in Computer Science or Information Technology from an accredited institution.
  
  

Responsibilities

• Work with program staff and business analyst to analyze data, reporting requirements, business / workflow processes, data flows, and system interfaces.
• Coordinate with vendors, data analysts, and contractors on gap analysis and logical design.
• Work with business analyst and developer to perform data extraction and transformation tasks.
• Work with technical manager to ensure the team implements the correct software solution and the solution will meet the needs of the program.
• Compile reports and activity status as requested by the project manager.
• Work well in a matrixed team structure, often facilitating multi-disciplinary teams, translating business/program subject matter information into project artifacts.
• Prepare and execute a knowledge transfer.
• Follow department level, and division level directives, best practices, standards, and methodologies, as appropriate or requested.