• 20-Oct-2017 to 19-Dec-2017 (CST)
  • IT
  • Honolulu, HI, USA
  • Full Time

About Us:

Navvis, the healthcare growth and diversification company, is leading the charge to partner with organizations across America to transform healthcare. Our approach is totally different in that it enables volume-based growth through value-based performance, unlocking economic strength to drive transformation. We combine the right strategies with operational excellence, supported by an integrated technology platform, that creates a growth services organization for our partners in healthcare. We design, build, and manage uniquely deployed payment models, care delivery transformation systems, and physician alignment strategies, helping our healthcare partners deliver on their missions, expand their margins, and thrive in their markets.

Position Summary:

The Data Analyst sits in the Information Technology (IT) department and will turn data into information, information into insight and insight into business decisions. The Data Analyst will conduct full lifecycle analysis to include requirements, activities and design, and develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.  The Data Analyst will gather and analyze healthcare datea from multiple sources (e.g. insurance processing, clinical operations, and patient behavior) to extract trends and business insights.

Position Responsibilities:

  • Interpret data, analyze results using statistical techniques and provide ongoing reports.
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
  • Acquire data from primary or secondary data sources and maintain databases/data systems.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
  • Work with management to prioritize business and information needs.
  • Locate and define new process improvement opportunities.
  • Understand health care operations and systems.
  • Create and validate record-keeping processes.
  • Pull and integrate data from disparate sources (e.g. cost and claims or clinical data).
  • Evaluate and preprocess raw information.
  • Delve into data to discover discrepancies and patterns.
  • Build models that capture a wide range of health care operations.
  • Present and explain information in an accessible way (e.g budgeting reports).
  • Suggest ways to both increase healthcare quality and reduce costs (e.g. money spent in R&D).
  • Collaborate with management and internal teams to implement and evaluate improvements.
  • Other duties as assigned

Preferred Qualifications:

  • 5-8 years proven working experience as a data analyst or business data analyst.
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques.
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks).
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).
  • Familiarity with remote desktop applications and help desk software (Freshdesk, Zendesk).
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing and presenting findings.
  • Proven experience as a Healthcare Data Analyst.
  • Experience in data analysis and visualization methods.
  • Understanding of healthcare procedures.
  • Knowledge of Extract, Transform and Load (ETL) frameworks.
  • Proficient in SQL and analysis tools (e.g. SAS).
  • Knowledge of Enterprise Data Warehouse (EDW) and data management systems.
  • Excellent analytical and communication skills
  • Outstanding organizational and problem-solving aptitude
  • Experience with structured query language
  • Export, transform and load (ETL)
  • Data modeling and data analysis


  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics
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