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Applied Analytics Jobs (NOW HIRING)

Applied Analytics Intern Location: New Albany, Ohio (minimum of 3 days per week in office) Duration: 20-40 pre-scheduled hours per week for 8-12 weeks Education: Rising sophomores and juniors in ...

Applied Analytics Intern Location: New Albany, Ohio (minimum of 3 days per week in office) Duration: 20-40 pre-scheduled hours per week for 8-12 weeks Education: Rising sophomores and juniors in ...

Applied Analytics Intern Location: New Albany, Ohio (minimum of 3 days per week in office) Duration: 20-40 pre-scheduled hours per week for 8-12 weeks Education: Rising sophomores and juniors in ...

Applied Analytics Intern Location: New Albany, Ohio (minimum of 3 days per week in office) Duration: 20-40 pre-scheduled hours per week for 8-12 weeks Education: Rising sophomores and juniors in ...

Applied Analytics Engineer

Irving, TX · On-site

$109.90K - $132K/yr

We are seeking a highly analytical professional with 3-5 years of demonstrable experience to join our team as an Applied Analytics Engineer . The successful candidate will be responsible for the full ...

Applied Analytics Engineer

Irving, TX · On-site

$106.30K - $127.60K/yr

They are seeking an Applied Analytics Engineer responsible for building, optimizing, and maintaining data pipelines, as well as developing and deploying machine learning models to drive strategic ...

Beyond technical execution, the role will shape the vision for applied analytics, drive roadmap implementation, and coach junior team members to deliver impactful, data-driven insights that influence ...

Hands-on, independent contributor who can originate work, turn ambiguous asks into crisp, testable requirements, and deliver end to end applied analytics solutions across multiple active projects.

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Applied Analytics information

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How much do applied analytics jobs pay per hour?

As of May 31, 2026, the average hourly pay for applied analytics in the United States is $52.26, according to ZipRecruiter salary data. Most workers in this role earn between $37.98 and $65.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Applied Analytics professional, and why are they important?

To thrive as an Applied Analytics professional, you need strong quantitative skills, a background in statistics or data science, and often at least a bachelor’s degree in a related field. Proficiency with analytic tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI is typically required. Strong problem-solving abilities, effective communication, and the capacity to translate complex data insights into actionable business recommendations are standout soft skills. These competencies are crucial because they enable professionals to extract meaningful insights from data and drive informed decision-making within organizations.

How does an Applied Analytics professional typically collaborate with other departments to drive data-informed decisions?

Applied Analytics professionals often work cross-functionally, partnering with teams such as marketing, operations, finance, and product development. They translate complex data findings into actionable insights tailored to each department's objectives, often presenting results in clear, accessible formats. Regular meetings and collaborative projects are common, ensuring that analytics solutions directly address business needs. This teamwork not only enhances the impact of data-driven recommendations but also provides valuable exposure to different aspects of the organization.

What are applied analytics?

Applied analytics involves using data analysis, statistical models, and technology to solve real-world business problems and inform decision-making. Professionals in this field gather, process, and interpret large sets of data to uncover trends, predict outcomes, and improve organizational performance. Applied analytics is used in various industries like finance, healthcare, marketing, and logistics to optimize processes and drive strategic initiatives.
More about Applied Analytics jobs
What cities are hiring for Applied Analytics jobs? Cities with the most Applied Analytics job openings:
What states have the most Applied Analytics jobs? States with the most job openings for Applied Analytics jobs include:
Infographic showing various Applied Analytics job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $108,693 per year, or $52.3 per hour.
Applied Analytics Intern

Applied Analytics Intern

Reveleer

New Albany, OH • On-site

$25/hr

Internship

Posted 9 days ago


Job description

Applied Analytics Intern

Location: New Albany, Ohio (minimum of 3 days per week in office)

Duration: 20-40 pre-scheduled hours per week for 8-12 weeks

Education: Rising sophomores and juniors in relevant course of study

Reveleer is a healthcare data and analytics company that uses Artificial Intelligence to give health plans across all business lines greater control over their Quality Improvement, Risk Adjustment, and Member Management programs. With one transformative solution, the Reveleer platform enables plans to independently execute and manage every aspect of enrollment, provider outreach and data retrieval, coding, abstraction, reporting, and submissions. Leveraging proprietary technology, robust data sets, and subject matter expertise, Reveleer provides complete record retrieval and review services so health plans can confidently plan and execute risk, quality, and member management programs to deliver more value and improved outcomes.

Role Overview:

Reveleer partners with health plans to power value-based care and risk adjustment programs through advanced analytics, technology, and clinical expertise. Our work ensures accurate documentation, improved patient outcomes, and more efficient healthcare operations.

Reveleer's Applied Analytics Internship Program is designed as a two-summer experience designed for high-potential undergraduate students interested in healthcare analytics, operations, and artificial intelligence.

This program provides hands-on exposure to both operational workflows and advanced analytics, with a focus on developing and testing AI-driven solutions to improve medical record retrieval processes, which is one of the most critical components of risk adjustment.

Details:

Summer 1: Operations + Applied Experimentation

Interns will be embedded within the Medical Record Retrieval team, where they will:

Learn end-to-end retrieval operations and workflows

Participate directly in retrieval activities to build domain expertise

Collaborate with the Applied Analytics team on experimental AI initiatives

Test and evaluate AI tools designed to improve retrieval efficiency

Help define and track key performance metrics (e.g., turnaround time, yield, accuracy)

Document findings and contribute to process improvement recommendations

Summer 2: Analytics + AI Development

Returning interns will transition into the Applied Analytics team, where they will:

Build and maintain data pipelines supporting retrieval and analytics workflows

Develop and refine algorithms and AI tools to optimize retrieval processes

Analyze large healthcare datasets to identify trends and improvement opportunities

Design experiments to measure the impact of AI-driven interventions

Present insights and recommendations to cross-functional stakeholders

What You'll Gain

  • Deep exposure to healthcare data, risk adjustment, and value-based care
  • Hands-on experience applying AI/ML concepts to real-world operational problems
  • Understanding of how analytics drives measurable business impact
  • Mentorship from experienced analytics and operations professionals
  • Opportunity to return for a second summer with expanded technical ownership

Preferred Qualifications (Ideal Candidates)

  • Experience with data analysis tools (Python, R, SQL, or similar)
  • Familiarity with Excel or data manipulation techniques
  • Exposure to statistics, experimentation, or basic machine learning concepts
  • Ability to translate ambiguous problems into structured analyses
  • Curiosity about how operational processes work and how to improve them
  • Interest in applied AI (not just theory, but someone who wants to build and test things)
  • Strong attention to detail and willingness to engage in hands-on operational work
  • Self-starter mindset with a willingness to take initiative and learn quickly


Compensation:

Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

Reveleer E-Verifies all new hires.

Reveleer is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.