ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Schaumburg, IL

Honeycomb Insurance

Data Analyst

Chicago, IL

$120K - $170K/yr

This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

Apex Informatics

Data Analyst

Chicago, IL · Hybrid

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

Chicago Public Schools

Data Analyst, OSD

Chicago, IL · On-site

... R to extract meaningful insights * Apply statistical techniques to analyze data distributions ... correlations, and trends, contributing to the development of robust analytical models * Create and ...

Chicago Public Schools

Data Analyst, OSD

Chicago, IL · On-site

... R to extract meaningful insights * Apply statistical techniques to analyze data distributions ... correlations, and trends, contributing to the development of robust analytical models * Create and ...

United IT

Data Analyst

Chicago, IL · On-site

In this role, you will collaborate with business stakeholders, technology teams, and data engineers to analyze complex datasets, develop reporting solutions, and support high-priority projects. The ...

United IT Solutions

Data Analyst

Chicago, IL · On-site

In this role, you will collaborate with business stakeholders, technology teams, and data engineers to analyze complex datasets, develop reporting solutions, and support high-priority projects. The ...

Capital One

Senior Data Analyst- Enterprise

Chicago, IL · On-site

$88.60K - $111.80K/yr

Senior Data Analyst- Enterprise At Capital One, data is at the center of everything we do. When we ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

SynergisticIT

Data Analyst

Elk Grove Village, IL · On-site +1

Why Tech Companies Hire Our Candidates Today's employers are looking for developers, engineers, and ... Data Analysts & Data Visualization Engineers * Business Intelligence Analysts * Data Scientists ...

eTeam

Data Analyst

Schaumburg, IL · On-site

Integration Analyst This role is part of our engineering organization and is responsible for ... Required skills: • 5 years of experience as an integration analyst, healthcare data analyst or ...

SynaptiCure Inc.

Staff Data Analyst

Chicago, IL · Remote

... Analytics Engineer, BI Architect, or equivalent) with proven impact in complex, high-growth ... Experience using Python or R for advanced statistical modeling or machine learning * Deep ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100.50K/yr

... and at least one programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes. • Strong analytical and problem-solving abilities. • Ability to work ...

1872 Consulting

Data Analyst

Chicago, IL · On-site

Collaborate with business analysts, engineers, and other team members to deliver overall team outcomes * Create appropriate documentation that allows stakeholders to understand the steps of data ...

Harris & Harris

Data Analyst

Chicago, IL · Hybrid

Our Data Analysts analyze, identify, and interpret patterns and trends in client data utilizing ... R. Nathaniel Dett Elementary School. At Harris & Harris, everyone is important, and we believe that ...

AllSTEM Connections

Data Analyst

Chicago, IL · On-site

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...

SynergisticIT

Data Analyst

Carol Stream, IL · On-site

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

next page

Showing results 1-20

People also search for

All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Schaumburg, IL

Afternoon Data Analyst R Programming information

See Schaumburg, IL salary details

$33.4K

$81.2K

$133.5K

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

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in Schaumburg, IL is $81,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $95,200.00 per year, depending on experience, location, and employer.

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 Schaumburg, IL? The most popular types of Data Analyst R Programming jobs in Schaumburg, IL are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Schaumburg, IL? For Afternoon Data Analyst R Programming jobs in Schaumburg, IL, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Schaumburg, IL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Schaumburg, IL are:
What cities near Schaumburg, IL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Schaumburg, IL with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you

Data Analyst

Honeycomb Insurance

Chicago, IL

$120K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

About Us
Honeycomb Insurance is a modern, data-driven insurance company building smarter ways to underwrite and manage risk.

About the Role
We are looking for a Financial & Data Analyst to join our Finance organization and help us build a scalable, accurate, and automated data foundation. This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our financial models, carrier reporting, billing systems, and management reporting is clean, reliable, and engineered for growth.
If you enjoy owning data pipelines end-to-end, solving messy data problems, and enabling business teams to move beyond spreadsheets, this is an opportunity to make a major impact.

Location: Chicago or New York

Reporting to: Chief Financial Officer 

What You'll Do
Data Engineering & Pipeline Development

  • Partner with finance and operations teams to understand their data needs and translate them into reliable data models.
  • Partner with Engineering to validate, QA, and reconcile data from policy admin systems, billing systems, and operational databases.
  • Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or similar tools).
  • Develop data models that make financial and operational data reliable, accessible, and well-structured.

Fronting Carrier & Regulatory Reporting

  • Own the data preparation for monthly reports to insurance partners. 
  • Ensure data completeness, accuracy, and alignment across sources (policy, claims, billing, accounting).

Billing System Data Preparation & Cleansing

  • Support a billing system migration/implementation by cleaning, reconciling, and validating large datasets. 
  • Work closely with Engineering and Finance to align data with billing schemas and business rules.

Analytics Support for FP&A and Accounting

  • Create data assets enabling self-service dashboards and analytical tools.
  • Monitor the data and ensure strong data integrity.
  • Investigate data anomalies and help Finance understand operational drivers behind performance metrics. 

What You Bring
Required

  • 3+ years of experience as a Data Engineer, Analytics Engineer, BI Engineer, or similar role.
  • Strong SQL and Python skills and experience working with relational databases.
  • Experience with a cloud data warehouse - BigQuery preferred
  • Experience building ETL/ELT pipelines (e.g., dbt, Airflow, Fivetran, custom pipelines).
  • Comfort working with messy data, performing cleansing, reconciliation, and QA.
  • Analytical mindset with strong attention to detail
  • Ability to communicate findings clearly to non-technical stakeholders. 

Nice to Have

  • Experience in insurance, fintech, or financial services.
  • Experience supporting data-driven processes in Finance, FP&A, Accounting, or similar business functions.
  • Familiarity with financial systems such as ERPs or billing systems.
  • Experience with BI tools like Looker, Power BI and Tableau.
  • Experience leveraging AI to generate SQL and Python scripts. 

Who You Are

  • You're a builder who enjoys creating structure in ambiguity.
  • You're the type who spots data issues before anyone else does - then digs until you find the root cause.
  • You love empowering non-technical teams with accurate, reliable data.
  • You thrive in cross-functional work between Finance, Accounting, and Engineering.
  • This role is open to candidates based in New York or Chicago, IL

Benefits

  • Salary: $120,000-$170,000
  • ISO stock options
  • Medical, dental, and vision coverage for you and your dependents
  • HSA with company contributions
  • 401(k) with employer match
  • Flexible time off 
  • 10 company-paid holidays
  • Paid family leave
 

Apply