1

Afternoon Data Analyst R Programming Jobs in Indianapolis, IN

Senior Data Analyst

Indianapolis, IN ยท 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 ...

Data Science Tutor

Indianapolis, IN ยท Remote

$18 - $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 ...

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 ...

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 ...

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

Data Engineer

Indianapolis, IN ยท 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 ...

Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in ... Strong expertise in data analysis tools and languages (e.g., Python, R, SQL). * Experience with ...

Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in ... Strong expertise in data analysis tools and languages (e.g., Python, R, SQL). * Experience with ...

next page

Showing results 1-20

Afternoon Data Analyst R Programming information

See Indianapolis, IN salary details

$32.5K

$79K

$130K

How much do afternoon data analyst r programming jobs pay per year?

As of Jul 16, 2026, the average yearly pay for afternoon data analyst r programming in Indianapolis, IN is $78,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,700.00 per year, depending on experience, location, and employer.

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, and why are they important?

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 Indianapolis, IN? The most popular types of Data Analyst R Programming jobs in Indianapolis, IN are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Indianapolis, IN look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Indianapolis, IN are:
What cities near Indianapolis, IN are hiring for Afternoon Data Analyst R Programming jobs? Cities near Indianapolis, IN with the most Afternoon Data Analyst R Programming job openings:
Senior Data Analyst

Senior Data Analyst

CSpring

Indianapolis, IN โ€ข On-site

$82K - $103K/yr

Full-time

Posted 20 days ago


Job description

Description:

At CSpring, we believe in the power of people and data to drive real-world impact. Weโ€™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 โ€” from data strategy and engineering to workforce transformation โ€” improves lives across Indiana and beyond. Weโ€™re seeking talented professionals who are collaborative, curious, and committed to making a difference.


What You'll Do

  • Engage with business and technical stakeholders to gather, analyze, document, define, and standardize business/data requirements (2%).
  • Perform or lead Gap Analysis between as-is and to-be systems to identify shortcomings (5%).
  • Develop and maintain documentation including requirement specifications, RTMs, acceptance criteria, process flows, and data mapping documents, using SharePoint and Confluence for version control and collaboration (2%).
  • Design, develop, and optimize complex data models and validation frameworks using SQL and Teradata (5%).
  • Perform/conduct comprehensive root cause analysis for data quality issues and develop/implement solutions or automated preventive controls (5%).
  • Represent the State/organization in interactions with the CMS federal team (alongside manager or as lead SME), addressing queries and serving as subject matter expert on CMS reporting standards (5%).
  • Oversee or ensure timely, accurate, error-free, and compliant submission of monthly extracts and quarterly CMS reports (claims, provider, eligibility, CMS-64.9 forms) (5%).
  • Lead enterprise level analytical initiatives supporting CMS reporting systems and Indiana healthcare programs (5%).
  • Conduct advanced data analysis, modeling, and automation using Excel (Power Query, Power Pivot, VBA macros, complex formulas, dynamic arrays, and scenario modeling) (10%).
  • Develop and maintain interactive dashboards and visualizations using Tableau and Power BI to identify trends, anomalies, compliance risks, and key performance metrics for executive and federal reporting (7%).
  • Define and implement enterprise data quality governance frameworks, KPIs, automated validation rules, and monitoring systems (5%).
  • Lead and coordinate complex testing/QA/UAT activities by establishing strategies, overseeing execution, and reviewing test cases prepared by junior analysts (5%).
  • Provide mentorship and technical leadership to junior analysts on advanced SQL, Informatica ETL, Power BI/Tableau development, and CMS processes (10%).
  • Recommend and drive implementation of process enhancements, tool upgrades, and automation initiatives for efficiency and compliance (10%).
  • Manage and analyze Treatment Episode Data Set (TEDS) Admission and Discharge data submissions for the Division of Mental Health and Addiction (DMHA) (4%).
  • Collaborate with the CMS State Support Team to analyze, document, and implement TMSIS (Transformed Medicaid Statistical Information System) updates and changes required by CMS (4%).
  • Research, interpret, and ensure application of HHS/CMS rules and regulations to maintain ongoing compliance with Indiana Medicaid/Medicare systems (7%).
  • Coordinate with the State Board of Accounts (SBOA) to design and deliver customized annual data extracts for audits and financial reporting, using automated workflows and secure transmission processes (4%).
  • Remote work requests will be considered consistent with companyโ€™s remote work policy.
  • Domestic travel required less than 2% of the time.
Requirements:

This position requires a:

  • Bachelorโ€™s degree in Computer Science, Information Systems, Systems Engineering, or a related field, or foreign equivalent
  • 7 years of relevant experience in data analysis, systems analysis, quality assurance, and CMS data reporting and compliance in the Business Systems Analyst or relevant position

This position also requires:

  • 7 years of experience with handling multiple projects/workstreams simultaneously
  • 7 years of experience defining and executing test strategies, UAT, and QA methodologies
  • 7 years of experience with Agile and Waterfall software development methodologies
  • 7 years of experience using JIRA, Zephyr, and comparable tools for project tracking and test management
  • 7 years of experience in SQL and Teradata for data extraction, modeling, and validation
  • 7 years of experience developing data dashboards and analytical reports using Tableau and comparable BI tools
  • 5 years of experience utilizing data quality frameworks and data governance best practices
  • 5 years of experience with Medicaid including CMS reporting compliance experience.
  • Will accept any suitable combination of education, training, and experience.

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