General Summary:

Participate in all phases of data receipt applications and exploratory data analysis. Tasks include maintaining databases and ensuring that their data are reliable.  Requirements include designing, implementing, testing, maintaining, and supporting the processes to analyze hospital data used in performance measurement analytics, as well as the routine refresh of data sets.  This role embraces the concept of data wrangling, which is the process of cleaning and unifying messy and complex data sets for easy access and analysis. Provide statistical analysis for various groups with the enterprise, including regression modeling.

Principal Duties and Responsibilities:                                                                                         

1. Assist in the analysis of quantitative datasets, creating variables, descriptive analysis, and multivariate regression and other analysis models. Other areas of responsibility include applying exploratory data analysis methods, data visualization techniques, and other data science methods utilizing statistical software.

2. Develop and update databases of performance measurement data to ensure the data/data sets are reliable, which includes preparing and cleaning the data.

3. Perform tasks related to the matching and merging of multiple data sets.

4. Participate in all phases of data capture. Responsible for designing, testing, implementing and supporting the data sets.

5. Develop and execute policies and procedures related to the transformation and mapping of datafrom one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics.

6. Develop and follow a set of general steps which begin with extracting the data in a raw form from the data source, transforming the raw data using algorithms (e.g. sorting or parsing the data into predefined data structures), and finally depositing the resulting content for storage and future use.

7. Apply data transformations to distinct entities (e.g. fields, rows, columns, data values etc.) within a data set, and including such actions as extractions, parsing, joining, standardizing, augmenting, cleansing, consolidating and filtering to create desired outputs that can be leveraged in analytics.

8. Use database SQL queries, when necessary, to validate and monitor the collected data and verify the efficiency and correctness of the algorithms and provide technical support to the users of data.

9. Exhibit highly technical problem solving skills and resourcefulness. Analyze problems and identify innovative solutions. Recognize opportunities to improve processes at any point in the data cleansing process.

10. Participate in project planning for completing project tasks. Ensure deadlines and commitments are met by keeping management informed of project status. Develop work plans for assigned projects.

11. Effectively communicate with external customers and internal customers to design and implement appropriate processes.

12. Adopt and actively apply Lean Six Sigma and Change Management skills and techniques for process improvement.

Knowledge, Practical Experience, and Special Skills Required:

1. Bachelor’s degree required in Statistics, Data Science, Computer Science, Computer Engineering, Mathematics or a similar field.  Master’s preferred.
2. Three to five years of experience in providing statistical support utilizing statistical software such as R or SAS. Experience with one or more database technologies, big-data methodologies and cloud methodologies is preferred.
3. Effective ability to understand, implement, and interpret statistical modeling techniques, i.e. linear/non-linear regression models in addition to providing statistical analyses requested.
4. Effective ability to understand requirements in whole and in detail and ability to perform strong analysis and technical problem solving skills to investigate and debug and effectively report issues.
5. Technical proficiency in working with relational database, understanding variety of programming and coding languages and working with reporting/query tools (e.g., MS Access, SAS, MS SQL Server, MS Visio, etc.). Willingness to stay abreast of the development in area of professional competence.
6. Effective written and oral communication skills, especially in communicating business and technical information. Capable of preparing and delivering requirements and test plan documents.
7.  Strong interpersonal skills that can be used to effectively collaborate on work with other professionals. Ability to interact well with individuals, both internally and externally, and effectively communicate technical or statistical information and specifications. Ability to present to small groups.
8. Self-driven with the ability to work independently. Demonstrates a results-orientation, determination, ownership of responsibility, reliability, and accountability, and yet functions as a team member and follows direction as part of a team under general supervision.
9. Experience working with healthcare data is preferred.

This job description is intended to describe the general nature and level of work performed by an employee assigned to this position.  The description is not an exhaustive list of all duties, responsibilities, knowledge, skills, abilities and working conditions associated with this position.