Data Automation Internship Jobs (NOW HIRING)

At MedElite, we are redefining healthcare delivery by blending top-tier clinical support with data-driven insights. We are looking for a brilliant, technically savvy, and creatively minded Data Automation & QA Analytics Intern to join our team.

If you love connecting the dots between messy data pipelines, automating the mundane, and building reports that actually look good and make sense, this role is for you.

• Compensation: $25.00 / hour
• Location: In-person, 5 days a week (On-site in Brooklyn, NY)
• Eligibility: Open to both Undergraduate and Masters interns (currently enrolled)
• Reporting to: Head of Product and AI Strategy

This isn't your typical "run spreadsheet macros" internship. We need someone who is both quantitative and creative. You will sit at the intersection of data engineering and business logic-gathering user requirements from our team and translating them into slick, fully automated reporting pipelines. Your primary mission will be to link multiple data sources together, automate Quality Assurance (QA) data reports, and turn complex data into clean, automated PDFs.

• Automate Reporting: Design and build automated pipelines that extract data from multiple sources and compile them into clean, executive-ready PDF reports.
• QA & Compliance Data: Streamline and automate quality assurance data reports to ensure our clinical and operational standards remain flawless.
• Healthcare Analytics: Help build and maintain specialty quality reporting for patients, manage facility data, and support TD facility assessments.
• Performance Scorecards: Own the data-driven backend components of internal provider and clinician performance evaluations, helping us build scorecards that track and measure operational success.
• Eliminate Manual Work: Use Python to identify slow, manual data tasks across the team and script them out of existence.
• Requirements Gathering: Collaborate with internal stakeholders to understand their data needs, translating their business requirements into technical automation and results.

• Education: Currently pursuing an Undergraduate or MBA degree with a focus on Data Analytics, Business Intelligence, Computer Science, Information Systems, or a related quantitative field.
• Data Wrangling: Strong proficiency with SQL and/or Google BigQuery is a must. You should know how to join complex, disparate datasets seamlessly.
• Scripting & Automation: Solid hands-on experience with Python (especially for data manipulation and generating PDF/document outputs).
• API & Data Integration: Familiarity with how to use Data APIs or a strong willingness to learn. You should feel comfortable navigating comprehensive public datasets and schemas.
• The "Data Mindset": Deeply analytical, but with a creative twist. You don't just pull data; you think about how it will be consumed and used to make decisions.
• Communication: Ability to talk to non-technical team members, understand their pain points, and deliver automation that solves their problems.

• Real-world ownership of projects that directly impact patient care and facility efficiency.
• Mentorship from experienced data and healthcare professionals.
• A fast-paced, collaborative environment where your ideas turn into production-level tools.

EEO/AAP Statement: MedElite is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. MedElite is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position.

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