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Internship Opt Cpt Data Analytics Jobs in Alabama

Urology Centers of Alabama

Data Analyst

Homewood, AL

... analytics · Ensure data integrity, consistency, and compliance with healthcare regulations (e.g ... CPT/ICD coding, revenue cycle) Key Competencies · Analytical thinking and problem-solving · ...

SMX

Data Manager (5441)

Huntsville, AL · On-site

$65K - $80K/yr

We are seeking a highly skilled and analytical Data Manager to support our government client in ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

New

Toyota

Employee Relations Analyst

Huntsville, AL · On-site

... STEM OPT, F-1 CPT, 'job flexibility benefits' [also known as I-140 or Adjustment of Status ... Data analytics. Utilize data analytics and understanding key business needs to visualize trends ...

KPMG US

Manager, Data Operations

Birmingham, AL · On-site

They are seeking a Manager, Data Operations to oversee Azure Data Lake operations, ensuring ... 1, OPT, CPT or any other employment-based visa) Preferred : • Bachelor's degree from an ...

SMX

Data Management Specialist II (5479)

Huntsville, AL · On-site

$50K - $80K/yr

Perform data analysis to identify data gaps and inconsistencies, identifying areas for improvement ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Carr, Riggs & Ingram

Senior Associate, Audit

Montgomery, AL · On-site

$80K - $98K/yr

Strong organizational and analytical abilities * Ability to work well in a team environment ... OPT, CPT or any other employment-based visa). CRI is a nationally recognized accounting and ...

Guidehouse

Data Engineer

Huntsville, AL · On-site

$53K - $88K/yr

Experience with data integration, ETL, data warehousing, or analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project experience involving data engineering, cloud ...

Guidehouse

Data Engineer

Huntsville, AL

$53K - $88K/yr

Exposure to data integration, ETL, data warehousing, or analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project experience involving data engineering, cloud ...

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Internship Opt Cpt Data Analytics information

What is an Internship OPT CPT Data Analytics?

An Internship OPT CPT Data Analytics position is a temporary role typically offered to international students in the U.S. who are studying data analytics and are eligible to work under Optional Practical Training (OPT) or Curricular Practical Training (CPT) programs. These internships provide practical, hands-on experience in analyzing data, using statistical tools, and solving real-world business problems. The role helps students apply classroom knowledge, gain industry exposure, and improve their chances of securing full-time employment after graduation. OPT and CPT allow students to work legally while completing their studies or shortly after graduating.

What are the key skills and qualifications needed to thrive as an Internship OPT CPT Data Analytics?

To thrive in an Internship OPT CPT Data Analytics role, you generally need a background in statistics, mathematics, or computer science, along with strong analytical and problem-solving abilities. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI is typically expected. Strong communication, attention to detail, and teamwork skills help interns present findings effectively and collaborate with team members. These skills ensure interns can extract actionable insights from data and contribute meaningfully to business decisions during their internship.

What types of projects can I expect to work on during an Internship OPT CPT Data Analytics?

As an intern in Data Analytics under OPT/CPT, you'll typically be involved in projects such as data cleaning, visualization, and exploratory analysis to support business decisions. You may work with tools like Excel, Python, or SQL to analyze large datasets, generate reports, and present insights to your team. Collaboration is common, so you’ll often work alongside data scientists, business analysts, and other interns, gaining exposure to real-world data challenges. This hands-on experience is designed to help you build practical skills and understand the workflow of a data-driven organization.

What is the difference between Internship Opt Cpt Data Analytics vs Data Analyst?

AspectInternship Opt Cpt Data AnalyticsData Analyst
Required CredentialsTypically pursuing or completed relevant coursework, possibly some certificationsBachelor's degree in Data Science, Statistics, or related field; certifications like SQL or Tableau are common
Work EnvironmentInternship setting, often part-time or temporary, in corporate or consulting firmsFull-time professional role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by employers to evaluate potential future employees; common in tech, finance, marketingEstablished role for analyzing data, generating reports, and supporting decision-making across industries

In summary, Internship Opt Cpt Data Analytics is an entry-level internship designed for students or recent graduates gaining practical experience, while a Data Analyst is a full-time professional role requiring more experience and skills. The internship offers a pathway to a Data Analyst position, which involves more responsibilities and a broader scope of data analysis tasks.

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The top searched job categories for Internship Opt Cpt Data Analytics jobs in Alabama are:

What cities in Alabama are hiring for Internship Opt Cpt Data Analytics jobs?

Cities in Alabama with the most Internship Opt Cpt Data Analytics job openings:

Internship Opt Cpt Data Analytics jobs near you

Data Analyst

Urology Centers of Alabama, P.C.

Homewood, AL • On-site

Other

Posted 11 days ago

Job description

General Summary
We are seeking a highly analytical and detail-oriented Data Analyst to support a large, 30-shareholder urology practice with integrated medical oncology, radiation oncology, and multiple ancillary service lines. This role is responsible for transforming data from clinical, operational, and financial systems into actionable insights that drive performance, efficiency, and strategic decision-making.
The ideal candidate will have experience working with healthcare data ecosystems, including practice management, EHR, and oncology-specific systems.
Key Responsibilities
Data Management & Integration
• Extract, validate, and integrate data from multiple systems, including:
o Allscripts (Practice Management)
o Veradigm (EHR)
o ARIA Oncology Information System (Radiation Oncology)
• Develop and maintain data pipelines and standardized datasets for reporting and analytics
• Ensure data integrity, consistency, and compliance with healthcare regulations (e.g., HIPAA)
Reporting & Analytics
• Design and maintain dashboards and reports for:
o Provider productivity (wRVUs, encounters, procedures)
o Financial performance (collections, charges, payer mix, denials)
o Radiation oncology utilization and throughput
o Medical oncology infusion metrics
o Ancillary service line performance (imaging, lab, pharmacy, etc.)
• Deliver recurring and ad hoc reports to physicians, executives, and operational leaders
• Identify trends, anomalies, and opportunities for improvement
Operational & Financial Insights
• Analyze revenue cycle performance including:
o Charge capture
o Coding patterns
o Denial trends and reimbursement optimization
• Support budgeting, forecasting, and strategic planning initiatives
• Partner with leadership to evaluate service line profitability and expansion opportunities
Clinical & Quality Analytics
• Support quality reporting and value-based care initiatives
• Analyze clinical outcomes, treatment patterns, and patient flow
• Assist with registry reporting and compliance metrics (as applicable)
Stakeholder Collaboration
• Work closely with physicians, administrators, billing teams, and IT
• Translate complex data into clear, actionable insights for non-technical audiences
• Serve as a liaison between clinical operations and technical systems
Required Qualifications
• Bachelor's degree in Data Analytics, Health Informatics, Business, or related field
• 3+ years of experience in healthcare data analytics (multi-specialty or oncology preferred)
• Strong experience with:
o SQL and relational databases
o Excel (advanced)
o Data visualization tools (Power BI, Tableau, or similar)
• Experience working with EHR and PM systems (preferably Allscripts/Veradigm environments)
• Understanding of healthcare financial and operational metrics (wRVUs, CPT/ICD coding, revenue cycle)
Key Competencies
• Analytical thinking and problem-solving
• Attention to detail and data accuracy
• Ability to manage large, complex datasets
• Strong communication and data storytelling skills
• Ability to work in a fast-paced, physician-driven environment
Why This Role Matters
This position plays a critical role in helping a complex, high-volume specialty practice optimize performance across urology, medical oncology, and radiation oncology. The Data Analyst will directly influence financial outcomes, operational efficiency, and patient care quality through data-driven insights.
Required Qualifications
• Bachelor's degree in Data Analytics, Health Informatics, Business, or related field
• 3+ years of experience in healthcare data analytics (multi-specialty or oncology preferred)
• Strong experience with:
o SQL and relational databases
o Excel (advanced)
o Data visualization tools (Power BI, Tableau, or similar)
• Experience working with EHR and PM systems (preferably Allscripts/Veradigm environments)
• Understanding of healthcare financial and operational metrics (wRVUs, CPT/ICD coding, revenue cycle)
Preferred Qualifications
• Experience with oncology workflows (medical and/or radiation oncology)
• Familiarity with radiation oncology data structures (e.g., ARIA)
• Knowledge of ETL processes and data warehousing concepts
• Experience with population health or value-based care analytics
• Certification in healthcare analytics or data tools (e.g., CHDA, Power BI, Tableau)

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