Primarily responsible to build and maintain data infrastructure and analytical tools for support the department needs. Full stack data professional working with both engineering/modeling and analytical aspects of data to fulfill organization’s data and analytical needs
SUMMARY OF DUTIES AND RESPONSIBILITIES:
Build infrastructure (pipelines and automated processes) required for optimal extraction, loading and transformation of data from a wide variety of sources using SQL, python and/or other technologies as needed
Provide analytics to drive operations as well as decisioning across domains like VBP, Revenue & Expense, Ambulatory Care etc.
Assemble raw and disjointed data sets and transform into efficient data models that can be leveraged for tracking, reporting and financial operations
Identify, design and implement process improvements, automating manual processes and optimizing operational efficiencies
Work with cross functional stakeholders and partners to assist with data related issues and support their needs
Prepare ad-hoc and recurring reporting and analyses and build analytical tools to support senior management and executive decision making
Create reports and dashboards from EPIC and its data to provide visibility into key metrics and trends
Create routine data validation rules and processes to ensure completeness and integrity
As needed, assist with Financial reconciliations and planning with an eye towards automation to improve efficiencies
Maintain clear, organized and complete documentation of data operations and curated datasets at all time to maintain operational resiliency and ensure the data is fit for purpose
Analyze and document business requirements and processes communicate requirements to technical personnel through the construction of basic conceptual data process models and flowcharts
Identify performance improvement opportunities and resolution
Other related tasks and/or projects
Skills:
Master or Bachelor Degree in Computer Science, Informatics, Analytics or related field plus 1 year of relevant experience or;
4 years of experience in data analytics, software programming or related field
COMPUTER PROGRAMS/SOFTWARE OPERATED
SQL and relational databases
Python
Tableau
ETL/ELT and data pipelines
Microsoft Office
Advanced Excel
Healthcare Data/Epic experience
Education:
Master or Bachelor Degree in Computer Science, Informatics, Analytics or related field plus 1 year of relevant experience or;
4 years of experience in data analytics, software programming or related field
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Numbers & Facts
Location
New York, NY
Salary
$61.78–$65.74 Per Hour
Skills
Ambulatory Careunmatched
Analysis Skillsunmatched
Automationunmatched
Business Analysisunmatched
Business Processesunmatched
Clinical Assessmentunmatched
Computer Scienceunmatched
Computer Softwareunmatched
Constructionunmatched
Cross-Functionalunmatched
Data Analysisunmatched
Data Managementunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Setsunmatched
Database Extract Transform and Load (ETL)unmatched
Documentationunmatched
Epic Systemsunmatched
Financial Operationsunmatched
Financial Planningunmatched
Financial Reportingunmatched
Healthcareunmatched
Informaticsunmatched
Metricsunmatched
Microsoft Officeunmatched
Operational Auditunmatched
Operations Processesunmatched
Organizational Skillsunmatched
Performance Managementunmatched
Process Improvementunmatched
Process Modelingunmatched
Python Programming/Scripting Languageunmatched
Reconciliationunmatched
Relational Databases (RDBMS)unmatched
Reporting Dashboardsunmatched
Reporting Skillsunmatched
SQL (Structured Query Language)unmatched
SQL Databasesunmatched
Software Engineeringunmatched
Staff Requirementsunmatched
Tableauunmatched
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