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Afternoon Data Analyst R Programming Jobs in Davenport, IA

Senior IT Business Analyst

Davenport, IA · Remote

$76K - $101K/yr

Participates in the approach and creation of QA/UAT test plans, can help define data validation ... developers, and testers to drive alignment on business outcomes, scope, and solution approach

Senior IT Business Analyst

Davenport, IA · Remote

$76K - $101K/yr

Participates in the approach and creation of QA/UAT test plans, can help define data validation ... developers, and testers to drive alignment on business outcomes, scope, and solution approach

Strategy Analyst

Davenport, IA · On-site

$86K - $126K/yr

Gathering, analyzing, and dissemination of market data to support product and business strategy ... Ability to work cross-functionally with Commercial, Finance, Operations, and Engineering teams. All ...

New

Research Engineer - Welding

Montpelier, IA · On-site

$36.50 - $50.25/hr

... R&D's welding, thermal cutting and ultrasonic inspection equipment • Interact with plant ... Provide training for operations welding personnel • Conduct failure analysis of welded components ...

As a Process Engineer with Quikrete Heavy Construction Materials, your primary responsibilities are ... This is completed through data analysis, field measurements, and conversations with employees. Must ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Davenport, IA salary details

$32.3K

$78.4K

$129K

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

As of Aug 23, 2026, the average yearly pay for afternoon data analyst r programming in Davenport, IA is $78,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $92,000.00 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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Davenport, IA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Davenport, IA are:

What cities near Davenport, IA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Davenport, IA with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Davenport, IA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $78,396 per year, or $37.7 per hour.

Senior IT Quality Assurance Analyst

Bitco Corporation

Davenport, IA • On-site

Full-time

Re-posted 6 days ago


Job description

BITCO Corporation, headquartered in Davenport, Iowa, is seeking a Senior IT Quality Assurance Analyst to join our team. With 11 branch offices in 10 states, BITCO provides quality insurance services to special industries including Construction, Forest Products, and Oil & Gas. This position is eligible for a hybrid work schedule.

Position Summary:

Working as part of the Quality Assurance team within our Information Technology department, this position will support the accountable delivery of platforms and applications designed to enhance our users' experience and meet the needs of our business. This team conducts all forms of testing for BITCO's applications with accountability for test strategy, test planning, execution, and test metrics. This team will develop and champion a move from highly manual to highly automated testing. This role will participate in defining comprehensive quality engineering approaches that ensure robust validation of business workflows, scenarios across multiple integrated systems ensuring functional and data coverage using industry leading practices and automation. The QA team is responsible for properly and thoroughly testing and validating applications prior to any production release, while acting as a liaison across all departments to test interfaces or processes while compiling and analyzing information to make improvement recommendations-based findings.

Primary Responsibilities:

  • Define and own end to end test strategy for all platform and application releases, covering multiple aspects of testing to include functional, integration, regression, and non-functional.
  • Develop and conduct system integration and regression testing across multiple applications while ensuring optimal test coverage
  • Help develop and drive an automation-first approach across all aspects of testing relevant to modern and legacy enterprise class applications
  • Participate in the establishment and scaling of a test data strategy including synthetic test data approaches
  • Analyze business requirements/user stories of major planned deliveries to understand the expectations from end-users, review with Business Analysts/SME to design appropriate and comprehensive test scenarios
  • Monitors and updates defect metrics/reports on a regular basis to ensure timely problem identification and resolution/escalation
  • Works closely with our Digital Solutions, SI Partners, offshore teams, and vendors to collaborate on the analysis, design, development, testing, and UAT of our enterprise releases
  • Conducts functional, regression, integration, and system testing on newly designed or modified applications/systems/APIs, etc.
  • Participates and own the communication of analysis of test results and patterns through active engagement and communication using industry standards metrics across entire organization
  • Participate in the process of identifying, evaluating, recommending, implementing, and maturation of automation testing tools
  • Help provide accurate data-based transparent timelines of testing processes, risks, etc. to ensure timelines are realistic without negative impacts to release quality
  • Team responsibility for driving continuous improvement of the QA process and technologies
  • Engage Developers to help perform root cause analysis for defects/bugs and help drive resolution within established SLA
  • Ability to lead or assist with the development of procedures and strategies for Quality Assurance activities based on best practices to ensure continuous improvement
  • Commitment to ensuring end-user experience meets expectations during testing as well as post-implementation by partnering with the business, Digital Solutions, Development, and UAT teams

Qualifications:

  • Minimum 5-7 years' experience with enterprise QA methodologies and problem-solving
  • Experience in Insurance or Financial Services highly preferred
  • Experience in enterprise platforms and applications like Duck Creek, SFDC, ServiceNow, Kalepa, APIs, and EDW environments
  • Enterprise Software testing experience with insurance-based platforms and services
  • Experience with test automation solutions and moving organizations from manual to automated testing
  • Strong analytical skills with extreme comfort with industry standard metrics to communicate with business and technical audiences across key finding and learning
  • Excellent organizational, verbal, and written communication skills
  • Knowledge of lifecycle development, change control management, test planning, test data strategy, and test/defect management
  • Strong ability to multi-task and meet deadlines in a fast-paced environment across multiple projects simultaneously
  • Experience with Azure cloud deployments, CICD, DEVOPS and SOA, event driven applications
  • Capable of working independently, managing priorities, and meeting deadlines with minimal oversight