Duties & Responsibilities:
Operate with intellectual curiosity and critically assess existing processes and procedures to identify opportunities for improvement
Develop complex analyses requiring the integration of multiple data sources, evaluation of data quality, and standardization of data to consistent format/structure
Create advanced queries and reports that extract data to support business teams needs, including working with nesting tables and temp tables and writing multiple conditions against varying data sets)
Summarize and present data outcomes, recommendations, and methodology to analytics leadership, department leadership, and enterprise stakeholders
Learn, adopt and leverage leading analytical tools and technologies to further the maturity of departmental analytics at-large which may include the development of procedures in Amazon Redshift, workflows in Alteryx, or other solutions as required
Hold oneself accountable for the accuracy, completeness, quality, and relevance of deliverables in order to own responsibility for work product and consider these factors in the end-to-end analytical process, from data gathering to analysis to formatting and presentation
Employ best practices in documentation, coding style and comments to facilitate persistence, reusability, and scalability of your solutions
Document and escalate data issues as appropriate
Exhibit collaborative attitude, willingness to work with others on data projects that included working team(s) made of cross departmental/interdisciplinary users
Additional duties as assigned
Minimum Qualifications:
Bachelors degree from an accredited institution or equivalent relevant work experience
Working experience exhibiting strong critical thinking and analytical skills
Advanced MS Excel skills that include creating pivot tables, macros, utilizing v/h lookups and VBA
Familiarity with writing SQL (and/or SAS) queries for analyzing data and establishing business rules and requirements
Familiarity with relational database structures, theories, principles and practices
Familiarity with data models and/or data modelling
Ability to understand the data lifecycle within the organization and its impact on the business
Experience working in a team-oriented, collaborative environment
Ability to communicate effectively verbally and in writing while demonstrating good grammar, spelling and punctuation skills
Work experience requiring meticulous attention to detail Preferred Qualifications:
Degree in Mathematics, Computer Science, Data Sciences, Engineering, Business Analytics, Informatics, or similar concentration
Experience working with SQL in a professional environment
Experience with Alteryx, Tableau, Amazon Redshift, QlikView, or other similar tools/platforms
Familiarity with statistical principles, such as standard deviations, normal distributions, and regressions
Familiarity with Python and/or R
Familiarity with healthcare data
Balances working independently with an understanding of when to escalate with questions/issues
Previous Healthcare experience
Ability to work effectively with both business and technical stakeholdersCompliance & Regulatory Responsibilities: N/ALicense/Certification: N/A
WE ARE AN EQUAL OPPORTUNITY EMPLOYER. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, gender identity, sexual orientation, national origin, age, genetic information, military or veteran status, marital status, mental or physical disability or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.