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# Data Analyst (Onsite)

- **Company:** CAPITAL STAFFING SOLUTIONS
- **Location:** New York, NY, United States
- **Salary:** $114,400 - $135,200
- **Contract:** Temporary to permanent
- **Skills:** Microsoft Excel, Business Analytics Applications, Data Analysis, Computer Programming, Data Validation, Extract Transform Load (ETL), Relational Databases, Python (Programming Language), Microsoft Office, DataOps, SQL Databases, Tableau (Software), Information Technology, Data Analytics, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=aaf7666a24f00007

## About the Role

* 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 AND A Bachelor's Degree.
 * SQL and relational databases
 * Python
 * Tableau
 * ETL/ELT and data pipelines
 * Microsoft Office
 * Advanced Excel
 * Healthcare Data/Epic experience, 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

## Description

* 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
 * One key point we want to emphasize is that the client is specifically seeking candidates who are genuinely interested in converting to permanent employment. In the past, they have experienced situations where candidates initially expressed interest in conversion but ultimately declined permanent offers at the end of the assignment. As a result, they are placing a strong focus on identifying candidates who intend to pursue a long-term opportunity with the organization

Duties:

PURPOSE OF POSITION:

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, * 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