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Afternoon Data Analyst R Programming Jobs in Indiana

Varsity Tutors

Data Science Tutor

Valparaiso, IN · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Fort Wayne, IN · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Bloomington, IN · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Indianapolis, IN · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

BCforward

Data Acquisition Analyst

Warsaw, IN · On-site

The role will be responsible for capture, analysis, data dissemination, and follow-up of findings ... mathematics,engineering, or a technical discipline. 3 years plus quality or regulatory work ...

Danaher

Logistics Data Analyst

Indianapolis, IN · On-site

Bachelor's degree in Data Science, Analytics, Industrial Engineering, Supply Chain, Operations Research, or related field with 5+ years of experience * Strong understanding of data related to ...

Danaher

Logistics Data Analyst

Indianapolis, IN · On-site

Bachelor's degree in Data Science, Analytics, Industrial Engineering, Supply Chain, Operations Research, or related field with 5+ years of experience * Strong understanding of data related to ...

HorseShoe Beverage Company

Data & IT Analyst

Warsaw, IN · On-site

... engineering responsibilities. What You'll Do * Build, maintain, publish, and improve Power BI ... Bachelor's degree in Data Analytics, Computer Science, Information Systems, or a or an equivalent ...

AllSTEM Connections

IT Business Analyst

Indianapolis, IN · On-site

$140K - $145K/yr

... R to analyze healthcare-related data, create dashboards, track KPIs, and deliver actionable ... Engineering, Biological Sciences, or related field * 1-3 years of experience in Data Analysis ...

Pwc

Data Strategy-Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Dmainc

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

... programming preferred Familiarity with relevant business domains Ability to analyze large datasets and write comprehensive reports Experience in data models and reporting packages Experience working ...

Dmainc

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

... programming preferred Familiarity with relevant business domains Ability to analyze large datasets and write comprehensive reports Experience in data models and reporting packages Experience working ...

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Afternoon Data Analyst R Programming information

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the most commonly searched types of Data Analyst R Programming jobs in Indiana?

The most popular types of Data Analyst R Programming jobs in Indiana are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Indiana?

For Afternoon Data Analyst R Programming jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Indiana look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Indiana are:

What cities in Indiana are hiring for Afternoon Data Analyst R Programming jobs?

Cities in Indiana with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Indiana as of June 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Senior Healthcare Data Analyst (Life Sciences) - Indianapolis Health (Remote)

Indianapolis, IN • On-site, Remote

Milliman
Business Management Consulting • 1 - 5K employees
Learn more about Millimanexternal

$71K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Milliman rating

8.5

Company rating: 8.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Overview
Milliman's Indianapolis Health practice is expanding its Life Sciences team and investing in advanced analytics to grow our Health Economics and Outcomes Research (HEOR) offerings. We are seeking an individual to design rigorous studies, mentor a growing analytics team, and translate complex methods into clear insights for biopharma and medical device clients that support scientific publications.
Responsibilities
In this role, you will:
  • Partner with project managers to scope engagements, recommend analytic approaches, and align study objectives with client needs and timelines
  • Mentor a team of analysts; develop skills in study design, coding standards, and best practices for reproducible research
  • Collaborate closely with analysts and statisticians on protocol design, statistical analysis plans, and advanced methods (e.g., causal inference, survival analysis)
  • Design and execute studies using reusable code assets and workflows (e.g., R/Python packages, SAS code libraries, Git-based versioning for reproducibility) on large administrative claims data and ensure methodological rigor, data quality, and defensibility for peer review and publication
  • Ensure internal quality documentation requirements
  • Communicate results clearly to non-technical stakeholders; translate assumptions, methods, and limitations into actionable insights for clients and internal teams
  • Assist in preparing abstracts, posters, and manuscripts for peer-reviewed journals and scientific conferences
  • Evaluate new data sources and emerging methods; recommend tools and standards to elevate practice-wide analytics capability

Qualifications
  • Demonstrated experience conducting healthcare analytics, HEOR and real-world efficacy (RWE) studies; strong portfolio of peer-reviewed publications as primary/senior author and contributor
  • Proficiency in at least one statistical programming language (R, SQL, and/or SAS strongly preferred); experience with Git and reproducible research workflows
  • Hands-on expertise with real-world data sources and associated data engineering/cleaning best practices
  • Advanced methodological skills including, as relevant: causal inference (e.g., propensity scores, matching/weighting, etc.), survival/time-to-event analysis, longitudinal models, difference-in-differences, and sensitivity analyses
  • Strong PowerPoint development skills to present study design and research outputs in a visually appealing manner that calls out key takeaways
  • Clear verbal communication to explain study design, methods, and results to project managers, clients, and cross-functional teams
  • Strong scientific writing skills suitable for peer-reviewed publication and scientific communications
  • Working knowledge of HIPAA, data privacy, and compliant handling of PHI/limited datasets
  • Basic knowledge of Gen AI tools, how to utilize AI to enhance productivity, and potential ethical considerations or concerns

Required
  • Master's and/or doctorate degree in health services research, epidemiology, pharmacoepidemiology, biostatistics, health economics/outcomes research, data science, statistics or a related discipline
  • 5+ years of professional experience conducting healthcare analytics
  • Authored or co-authored at least 1 research article that was published in a scientific journal
  • Bachelor's degree

Preferred
  • Experience preparing HEOR/RWE evidence
  • Familiarity with economic modeling (cost-effectiveness, budget impact) and integration of RWE inputs

Application Materials
  • Resume or CV with a publication list or links to representative work

Sponsorship Statement
Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.
The Team
The life sciences consulting team is a group of 60+ individuals in the Indianapolis Health practice from varying backgrounds including actuaries, data analysts, pharmacists, and graphic designers. This group works primarily with life sciences companies and consults on their relationship with insurance companies and other stakeholders of the pharmaceutical value chain. This Life Sciences team is a high-impact and fast-growing team within the practice. It has a collaborative culture, strong mentorship to grow team members, and opportunities for publication and conference participation.
Location
This role is based out of the Milliman office in Indianapolis, IN but candidates hired into this role may work remotely anywhere in the US. The expected application deadline for this job is September 15, 2026.
Compensation
The overall salary range for this role is $71,700 - $131,905. For candidates residing in:
  • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $82,455 - $131,905.
  • All other locations the salary range is $71,700 - $114,700.

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.
Who We Are
Independent for over 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.
Milliman invests in skills training and career development, and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERG's) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our web site https://www.milliman.com/en/social-impact to learn more about Milliman's commitments to our people, diversity and inclusion, social impact and sustainability.
Through a team of professionals ranging from actuaries to clinicians, technology specialists to plan administrators, we offer unparalleled expertise in employee benefits, investment consulting, healthcare, life insurance and financial services, and property and casualty insurance.
Benefits
We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include:
  • Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners
  • Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges
  • 401(k) Plan - Includes a company matching program and profit-sharing contributions
  • Discretionary Bonus Program - Recognizing employee contributions
  • Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses
  • Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis.
  • Holidays - A minimum of 10 observed holidays per year
  • Family Building Benefits including Adoption and fertility assistance
  • Paid Parental Leave - 11 weeks of paid leave for employees who meet eligibility criteria.
  • Life Insurance & AD&D - 100% of premiums covered by Milliman
  • Short-Term and Long-Term Disability - Fully paid by Milliman

Equal Opportunity
All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.
#LI-KM1 #LI-REMOTE
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

What Milliman employees say

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About Milliman

Sourced by ZipRecruiter

Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

Industry

Business management consulting and fitness and sports centers

Company size

1,001 - 5,000 Employees

Headquarters location

Seattle, WA, US

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