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Afternoon Data Analyst R Programming Jobs in Iowa

Kemper

Senior Data Systems Analyst

Des Moines, IA

$83K - $105K/yr

Partner with engineering and operational teams to prioritize remediation activities. * Track ... Analyze data anomalies, trends, and quality metrics to identify potential issues and risks.

New

Pwc

Data Governance- Manager

Des Moines, IA

$99K - $232K/yr

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

EMC Insurance Group, Inc.

Data Engineer III

Des Moines, IA · On-site

$111K - $134K/yr

... analytics product pipeline architecture and infrastructure team: * Investigates and analyzes ... Develops specifications and plans the full range of programming actions to produce data integration ...

HealthCheck360

Operations Analyst

Dubuque, IA

Experience with R, Power BI, or Tableau is a plus * Exposure to healthcare data (claims ... and programming, educating the participant with risk-specific targeted communications, and ...

HealthCheck360

Operations Analyst

Dubuque, IA · On-site

Experience with R, Power BI, or Tableau is a plus * Exposure to healthcare data (claims ... and programming, educating the participant with risk-specific targeted communications, and ...

HealthCheck360

Operations Analyst

Dubuque, IA · On-site

Experience with R, Power BI, or Tableau is a plus * Exposure to healthcare data (claims ... and programming, educating the participant with risk-specific targeted communications, 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Iowa? For Afternoon Data Analyst R Programming jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Iowa look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Iowa are:
What cities in Iowa are hiring for Afternoon Data Analyst R Programming jobs? Cities in Iowa with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Data Solutions Analyst

Data Solutions Analyst

GreenState Credit Union

North Liberty, IA • On-site

$90K - $105K/yr

Full-time

Posted 11 days ago

Job description

Position Summary
INFORMATION TECHNOLOGY:
GreenState's Information Technology department adheres to the corporate values and acts as a business partner who understands the needs of the business, enables business units to meet strategic objectives through technology, and provides employees and members with quality technology platforms that are always available, always relevant, and always scalable.
GREENSTATE CULTURE:
At GreenState, our purpose is to create lasting value for our members, our communities, and one another. We empower our teams to create opportunities that strengthen financial well-being, transform lives, and enhance the vitality of the communities we serve. We know our success-now and in the future-is deeply rooted in fostering an engaging, diverse, and inclusive workplace where everyone knows they matter, their work makes an impact, and their everyday commitment to living our values is what brings our mission to life.
Salary range for this position is $90,593.36 - $105,914.12 with a progressive benefit package.
Essential Duties and Responsibilities
Performs essential duties and responsibilities in the following areas which may include but are not limited to those listed and are subject to change.
  1. Adheres to the Credit Union's core values and Service Standards in conducting GreenState's mission and vision.
  2. Demonstrates a positive member service (internal and external) focus at all times.
  3. Demonstrates teamwork in all interactions with coworkers and in the completion of all duties and responsibilities.
  4. Ensures confidentiality of member information.
  5. Supports a diverse and inclusive work environment.
  6. Leads data technical requirements-gathering efforts, translating business needs into actionable technical specifications.
  7. Facilitates stakeholder sessions and workshops to capture requirements and ensure alignment between technical teams and business stakeholders.
  8. Performs testing and validation of data systems, ETL processes, data pipelines, and reporting layers to ensure data accuracy and reliability.
  9. Creates and maintains test plans, test cases, and documentation to support quality assurance processes.
  10. Acts as a liaison between business teams and technical teams, ensuring clarity of expectations and deliverables.
  11. Conducts reviews of requirements artifacts to ensure completeness, accuracy, and adherence to standards.
  12. Identifies gaps or issues in data processes and works with development and engineering teams to resolve them.
  13. Participates in change management processes to ensure all changes to data solutions are reviewed, tested, and documented.
  14. Provides subject matter expertise to stakeholders regarding data quality, governance, and system functionality.
  15. Supports standardization of testing, documentation, and validation practices across the data team.
  16. Assists with onboarding and training of team members and business users as needed.
  17. Performs other duties as assigned.

Job Requirements/Expectations
  1. College degree in computer science, data science, business management, or equivalent experience.
  2. Minimum of 3-5 years of experience in a Data Analyst, QA, or requirements-focused role.
  3. Strong SQL and data analysis skills to support validation activities.
  4. Experience writing technical requirements and translating business needs into actionable deliverables.
  5. Strong background in data quality assurance, validation, and testing methodologies.
  6. Experience working with ETL processes, data pipelines, and configurable enterprise data systems.
  7. Familiarity with data visualization tools (Power BI, Tableau, or similar) preferred.
  8. Strong organizational skills with ability to track requirements, test results, and project documentation.
  9. Exceptional communication skills and ability to work with both technical and non-technical stakeholders.
  10. Attention to detail, analytical thinking, and problem-solving mindset.
  11. Ability to work independently with minimal supervision while collaborating in a team-oriented environment.
  12. High integrity and ability to handle confidential information appropriately.

Reporting Relationship
This position reports to the Manager Data Solutions.
Supervisory Responsibilities
This position is not responsible for the supervision of others.
Equal Opportunity Employment Statement
GreenState Credit Union is an EEO/AA Employer. We strongly encourage all individuals to apply for openings with the credit union.
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