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Data Analysis Intern Jobs in Morris, AL (NOW HIRING)

... for analysis. • Proficiency in statistical analysis and hypothesis testing to draw meaningful conclusions from data, as well as the ability to apply machine learning techniques for predictive ...

Proficiency in statistical analysis and hypothesis testing to draw · meaningful conclusions from data, as well as the ability to apply machine learning techniques for predictive modeling.

The role involves building data models, conducting variance analysis, and enhancing decision-making through robust data visualizations. Responsibilities : • Builds should-cost models for key ...

PIM Data Analyst

Birmingham, AL · On-site

  • Medical

  • Retirement

  • PTO

The Product Information Management (PIM) Data Analyst is responsible for managing and enhancing the quality of product data within the organization's PIM system. This role executes a structured ...

Data Analyst- AMI Location: Birmingham, AL Contract- 18 Months Client: Southern Company Job Summary: Seeking an experienced and detail-oriented AMI Data Analyst to manage and ensure the seamless flow ...

Data Analyst- AMI Location: Birmingham, AL Contract- 18 Months Client: Southern Company Job Summary: Seeking an experienced and detail-oriented AMI Data Analyst to manage and ensure the seamless flow ...

Showing results 21-40

Data Analysis Intern information

See Morris, AL salary details

$11

$21

$39

How much do data analysis intern jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data analysis intern in Morris, AL is $21.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $23.27 per hour, depending on experience, location, and employer.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with data tools like Excel, SQL, and Python, and helps develop analytical skills valuable for future roles. It can enhance a resume, offer networking opportunities, and improve job prospects in data-related fields. The value depends on the internship's quality and the skills gained, but it generally offers meaningful industry exposure for entry-level candidates.

What would a data analysis intern do?

A data analysis intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and may create reports or visualizations to communicate findings under supervision.

Can I do a data analysis intern internship?

Yes, a data analysis intern internship is typically available for students or entry-level candidates interested in developing skills in data manipulation, statistical analysis, and tools like Excel, SQL, or Python. Internships usually require relevant coursework or basic knowledge of data analysis concepts and may be part-time or summer positions.

What are some common challenges faced by data analysis interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

What is the difference between Data Analysis Intern vs Data Analyst?

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

What does a data analysis intern do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What are the key skills and qualifications needed to thrive as a data analysis intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.
What cities near Morris, AL are hiring for Data Analysis Intern jobs? Cities near Morris, AL with the most Data Analysis Intern job openings:

Full-time

Re-posted 7 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)