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Afternoon Data Analyst R Programming Jobs in Indiana

campus4tech

Data Analyst

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 ...

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

Proficiency in data analysis tools such as SQL, Python, R, or Excel. * Experience with data visualisation tools like Tableau, Power BI, or Google Data Studio. * Strong analytical and problem-solving ...

Old National Bank

Data Analyst, Sr

Evansville, IN · On-site

$82K - $103K/yr

... programming skills with querying languages: SQL, SAS, R, Python, etc. • 5+ years' experience in Data Visualization • Experience integrating multiple components of the Microsoft Fabric / BI Stack ...

Harrison Steel Castings Co.

Data Analyst

Attica, IN

Identify process inefficiencies, bottlenecks, and opportunities for improvement using data analysis and established engineering methods * Develop and implement strategies and programs to improve ...

New

Harrison Steel Castings Co.

Data Analyst

Attica, IN · On-site

Identify process inefficiencies, bottlenecks, and opportunities for improvement using data analysis and established engineering methods * Develop and implement strategies and programs to improve ...

Interra Credit Union

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

... engineering teams to enhance data ingestion pipelines, ETL processes, and data lake usage ... Python or R to support data preparation, automation, and predictive modeling. - Strong ...

Interra Credit Union

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

... engineering teams to enhance data ingestion pipelines, ETL processes, and data lake usage ... Python or R to support data preparation, automation, and predictive modeling. - Strong ...

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 ...

Old National Bank

Data Analyst, Sr

Evansville, IN · On-site

$60K - $121K/yr

... programming skills with querying languages: SQL, SAS, R, Python, etc. * 5+ years' experience in Data Visualization * Experience integrating multiple components of the Microsoft Fabric / BI Stack ...

Old National Bank

Data Analyst, Sr

Evansville, IN · On-site

$60K - $121K/yr

... programming skills with querying languages: SQL, SAS, R, Python, etc. * 5+ years' experience in Data Visualization * Experience integrating multiple components of the Microsoft Fabric / BI Stack ...

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

$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 ...

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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, 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 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
Senior Data Analyst: Epigenetics (Indianapolis)

Senior Data Analyst: Epigenetics (Indianapolis)

Purdue University

Indianapolis, IN • On-site

$82K - $103K/yr

Full-time

Posted 7 hours ago

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

263rd of 539 rated colleges and universities

Job description

Req Id: 41698
Job Title: Senior Data Analyst: Epigenetics (Indianapolis)
City: Indianapolis
Job Description:
Job Summary
Are you looking to be part of something big? Radical innovations begin with small, impactful steps. Take your next step with the Dunn Lab, the distinguished team of Dr. Erin C. Dunn, as we prepare for our next giant leap: discovering the causes of mental illness and creating roadmaps for prevention. Learn more about the Dunn Lab and Purdue University in Indianapolis.
The Senior Data Analyst will be responsible for projects focusing on computational genetic and epigenetic analyses working on a multi-disciplinary team under the direct supervision of principal investigator Dr. Dunn. The Senior Data Analyst will work with multiple types of data, especially longitudinal survey and biological data from large birth cohort studies. A successful candidate will have experience in working with post-doctoral fellows in a mentoring capacity to drive computational analyses.
The successful candidate will be able to contribute to innovative projects to identify risk and protective factors linked to depression. Our overarching goal is to identify possible sensitive periods in development, or life stages when the brain is highly plastic and experience, including stress exposure, can impart more enduring effects on risk for depression.
Responsibilities Include:
  • Responsible for data management and statistical analysis for new and ongoing studies, including but not limited to developing and applying regression-based analyses of epidemiologic and epigenetic data.
  • Guide other lab members in designing data analytic plans and computational pipelines.
  • Maintains standard operating procedures for data management on a high-powered computing cluster.
  • Collaborate on the preparation of grant applications, manuscripts, and presentations.
  • Present analyses and results to collaborators and in academic papers using tables and figures.
  • Leads R code reviews and data validation efforts
  • Mentors and troubleshoots other lab members in coding (in R programming language)

This position is located in Indianapolis at the Purdue University in Indianapolis location. Hybrid options may be available.
What We're Looking For:
Education and Experience:
  • Bachelor's Degree.
  • Four years of data analysis experience.
  • Strong knowledge of R (e.g., tidyverse, mice, ggplot) and omics data analysis pipelines.
  • Prior experience in academic research including cluster computing, longitudinal studies, biological/epidemiological modeling,

Preferred:
  • MA/MS.

Skills Needed:
  • Understanding of data management
  • Ability to clean data, including derived variable and metadata creation and management.
  • Experience working with longitudinal omics-related data.
  • Ability to create detailed data analysis plans and pipelines.
  • Proven ability to learn new computational and statistical techniques.
  • Excellent written and verbal communications skills.
  • Ability to handle multiple projects simultaneously.
  • Ability to work independently and as part of a team.
  • Ability to interpret acceptability of data.
  • High degree of computer literacy.
  • Careful attention to detail.
  • Good organizational skills.
  • Ability to identify problems and develop solutions.
  • Ability to create presentation-ready tables and figures.
  • Advanced knowledge of statistical and epidemiological study design.
  • Understanding of Redcap or other clinical database management systems

Additional Information:
  • For full consideration, please include a cover letter and resume with your application materials.
  • Purdue University will not sponsor employment authorization for this position
  • A background check will be required for employment in this position
  • FLSA: Exempt (Not Eligible for Overtime)
  • Retirement Eligibility: Defined Contribution Waiting Period

Purdue University is an EO/EA University.
Career Stream
Professional 3
Pay Band S070
Job Code #20002211

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