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Afternoon Data Analyst R Programming Jobs in Indiana

CSpring

Data Analyst

Indianapolis, IN · On-site

Our clients span the public and private sectors, and our work - from data strategy and engineering ... Analyze, document, and validate program operational needs, reporting requirements, and data ...

CSpring

Data Analyst

Indianapolis, IN · On-site

Our clients span the public and private sectors, and our work -- from data strategy and engineering ... Analyze, document, and validate program operational needs, reporting requirements, and data ...

CSpring

Data Analyst

Indianapolis, IN

Our clients span the public and private sectors, and our work - from data strategy and engineering ... Analyze, document, and validate program operational needs, reporting requirements, and data ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

... either R or Python, including data cleaning, running descriptive statistics and full analyses. • Working knowledge of epidemiological methods, study design, and analysis needed with an ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

The role requires collaboration with other analysts, data engineers, data product managers, and ... R * Proficient at create presentations and data visualizations within PowerPoint * Exhibit ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

Our clients span the public and private sectors, and our work -- from data strategy and engineering ... Engage with business and technical stakeholders to gather, analyze, document, define, and ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

Our clients span the public and private sectors, and our work - from data strategy and engineering ... Engage with business and technical stakeholders to gather, analyze, document, define, and ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

Our clients span the public and private sectors, and our work - from data strategy and engineering ... Engage with business and technical stakeholders to gather, analyze, document, define, and ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

Our clients span the public and private sectors, and our work -- from data strategy and engineering ... Engage with business and technical stakeholders to gather, analyze, document, define, and ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

Apply NLP techniques and prompt engineering to build conversational and generative AI systems ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

Apply NLP techniques and prompt engineering to build conversational and generative AI systems ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site

Apply NLP techniques and prompt engineering to build conversational and generative AI systems ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

SAIC

Data Analyst with Security Clearance

Bedford, IN · On-site

Proficiency in data analysis programming languages such as Python, R, SQL, or equivalent * Experience with data visualization tools such as Tableau, Power BI, matplotlib, or equivalent * Strong ...

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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 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 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 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:
Afternoon Data Analyst R Programming jobs near you
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.

Data Analyst

CSpring

Indianapolis, IN • On-site

Full-time

Re-posted 12 days ago

Job description

At CSpring, we believe in the power of people and data to drive real-world impact. We're a purpose-driven consulting firm that helps organizations solve complex problems, gain insights, and achieve measurable results. Our clients span the public and private sectors, and our work - from data strategy and engineering to workforce transformation - improves lives across Indiana and beyond. We're seeking talented professionals who are collaborative, curious, and committed to making a difference.
Why You'll Love Working Here
  • Mission-Driven Work - Support the transformation of rural healthcare across Indiana through a landmark $207M federal investment. Your work will directly strengthen health outcomes for Hoosier communities.
  • People-First Culture - We're as committed to your growth as we are to delivering high-impact solutions. You'll find support, autonomy, and community here.
  • Strategic, Hands-On Work - From program coordination and stakeholder engagement to data modernization and clinical readiness, you'll influence every step of the process.
  • Collaborative Trust - Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You'll Do
You will serve as the bridge between leadership, teams, and external partners - analyzing, documenting, and validating what the program needs from its data, then building the products that answer it.
  • Create data products for strategic activities covering grant operations, initiative outcomes and metric tracking, fiscal analyses and trends, and support for coordination of the program evaluation vendor.
  • Analyze, document, and validate program operational needs, reporting requirements, and data governance requirements for evaluating outcomes.
  • Facilitate stakeholder discussions, working sessions, and data management related to data sources with internal and external stakeholders.
  • Review solution designs and deliverables to ensure alignment with documented requirements and business objectives.
  • Coordinate internally with the Data Operations team to ensure data architecture, infrastructure, and governance capabilities within the enterprise data warehouse.
  • Prepare documentation, briefings, and reports for leadership, governance bodies, and project teams.
  • Develop timelines, risk registers, and impact summaries for data activities for leadership.
  • Coordinate with internal teams (IT, legal, finance, initiative leads) and external partners (vendors, providers, regional coalitions, and stakeholders) as needed.
  • Balance technical constraints, operational realities, regulatory considerations, and diverse stakeholder needs while maintaining high data quality and governance standards.
  • Support other related Rural Health Transformation activities as requested.

Requirements
  • Bachelor's degree from an accredited university in public health, health informatics, information systems, or a related field.
  • 3+ years of directly applicable experience in data analysis, informatics, or epidemiology.
  • Demonstrated experience gathering and documenting requirements for complex, multi-stakeholder systems or programs.
  • Experience working cross-collaboratively with internal divisions or external partners.
  • Excellent written and verbal communication skills, including experience working with both technical and non-technical audiences.
  • Experience with analytical tools as well as visualization tools such as Tableau.
  • Proficiency with common productivity and project management tools (Microsoft O365, project management platforms, collaboration tools).
  • Independent judgment and critical thinking - comfort working through ambiguity and evolving requirements with minimal guidance.
Preferred Experience
  • Master's degree in public health, health informatics, or a related field.
  • Familiarity with public health program implementation and evaluation methodologies.
  • Familiarity with conducting scientific research literature reviews.
  • SQL and hands-on experience querying an enterprise data warehouse.
  • Prior experience in a state agency, grant-funded program, or other government environment.
  • Background in rural health, health equity, or Medicaid data.

At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful work, collaborate with passionate teams, and grow your career in a people-first consulting environment - apply today!

Apply