Data Analyst at LTE CARE PLUS INC – The Bronx, New York

Job Title: Data Analyst

Location: 265 Broadhollow Rd, Suite 110, Melville, NY 11747

Employment Type: Full-Time (In-Person)

E-Verify: Yes

Visa Sponsorship: Yes

Position Overview

We are seeking a proactive, detail-oriented, and fast-paced Healthcare Data Analyst to support our growing data operations in a full-time, in-person role. This position will focus approximately 70% on billing data, including claims, authorizations, reimbursements, and revenue-related analysis, and 30% on non-billing data, including operational metrics, performance reporting, and other business data needs. The ideal candidate is comfortable working with large datasets, performing data cleaning, writing strong SQL queries, and building ETL pipelines to support reliable reporting and analysis. This individual should also have a product mindset, with the ability to think beyond raw data and help improve processes, reporting structures, and business decisions. The candidate must be able to create dashboards, identify trends and issues, and generate actionable insights, while also being comfortable presenting findings and reports to stakeholders in a clear and professional manner. In a startup environment, this person must be quick to learn new tools and technologies, take initiative without constant oversight, and remain flexible in handling ad hoc assignments and evolving business needs.

Key Responsibilities

1. Analyze and validate healthcare billing data, including claims, reimbursements, and authorizations

2. Identify trends, discrepancies, and opportunities for revenue optimization

3. Perform data cleaning, validation, and transformation across billing and non-billing datasets

4. Write and maintain SQL queries for reporting, analysis, and data extraction

5. Build and maintain data pipelines to support data workflows and reporting needs

6. Develop and maintain dashboards and reports using Power BI and Excel

7. Work with large datasets using Python and pandas for data analysis and reporting

8. Support operational and performance analysis using non-billing datasets

9. Build reports, dashboards, and analyses that support business and operational decision-making

10. Present data findings, trends, and recommendations to internal stakeholders

11. Approach reporting and analysis with a product mindset, focusing on usability, business value, and process improvement

12. Collaborate closely with on-site teams across departments to provide actionable insights

13. Assist in data pipeline management and cloud-based workflows using AWS

14. Ensure data accuracy, integrity, and compliance with internal standards

15. Take initiative on ad hoc projects and additional tasks as needed in a startup environment

Required Qualifications

1. Minimum of 2 years of hands-on experience in data analysis, preferably in healthcare, billing, or operational data environments

2. Bachelor’s degree in Data Analytics, Healthcare Administration, Computer Science, or a related field

3. Strong proficiency in Python, pandas, and SQL

4. Strong experience with data cleaning, transformation, and validation

5. Experience building and maintaining ETL pipelines

6. Experience with Power BI for dashboard development

7. Advanced Excel skills, including VLOOKUP and Pivot Tables

8. Familiarity with AWS or cloud-based data environments

9. Strong analytical and problem-solving skills

10. Strong presentation and communication skills, with the ability to explain data clearly to stakeholders

11. Ability to think with a product mindset and translate business needs into useful data solutions

12. Ability to work independently while also collaborating in an in-person team setting

13. Proactive mindset with a strong willingness to learn new tools and technologies quickly

Preferred Qualifications

1. Experience with seaborn

2. Familiarity with Streamlit

3. Prior experience with healthcare billing, claims, or revenue cycle data

4. Experience working in a startup or fast-paced environment

What We’re Looking For

1. A self-starter who takes ownership of tasks and drives results

2. Someone adaptable, detail-oriented, and efficient

3. Strong communication skills and ability to work across teams

4. Comfortable handling multiple priorities and shifting responsibilities

Additional Notes

As a startup, team members may be asked to take on responsibilities outside of their core role. Flexibility, accountability, and a team-first mindset are essential.