Key Responsibilities:

• Work collaboratively with business and IT to conduct a range of analysis to facilitate better understanding of the data. This could include –
  • data discovery and profiling, assessing data quality, tracing lineage, investigating any questions and issues relating to the data including impact of business process and system on data / data flows and analyzing data to answer business questions
  • creating data mappings for technical teams
  • reverse engineering data mappings from code and other implementations
• Research and investigate data issues. Develop a deep understanding of the relationship between business process, systems and the underlying data
• Document and share learnings about data with all stakeholders. Participate and support data governance activities.
• Help end users find and access and effectively leverage data needed for analysis and reporting
• Research, propose, and be an advocate for process and system change that can improve the impact and usage of data
• Present findings to stakeholders in a way that is intuitive and clear. This may be in a memo, through a dashboard or presentation.

Minimum Qualifications:

• 3+ years’ experience working with data (as a data engineer, Data scientist, BI analyst, BI developer etc.) in a professional or academic setting
• Proficiency with SQL – 3+ years experience in a professional or academic setting.
• Experience using tools like Tableau (or Power BI/Qlik), Alteryx, Tableau Prep and Excel for data preparation  and creating visualizations.
• Knowledge of data programing languages such as C/Python/R/Java and/or ETL tools like Informatica a must. Must be able to both read & understand code as well as feel comfortable using code as a tool for data analysis
• Demonstrated Critical thinking ability  including the ability to define a problem, frame it for a broad audience and collaborate with others to formulate solutions
• Demonstrated ability to leverage visualization tools like Tableau to develop dashboards that are impactful and have a meaningful narrative. (academic/training  setting ok)
• Ability to work independently and as part of a team with proven ability to influence with impact across functions and disciplines.
• Ability to manage multiple projects/deadlines, identifying the necessary steps and moving forward through completion
• HS Diploma or GED from accredited institution

Preferred Qualifications: 

• Degree in Statistics, Computer Science or related field
• Experience with statistical analysis software
• Demonstrated experience working in an Agile environment with Development and QA staff
• Experience with Cloud Data Warehouses
• Experience analyzing and working with large datasets.
• Knowledge of provider-sponsored health insurance systems/processes and the Healthcare industry