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Afternoon Data Analyst R Programming Jobs in Waukee, IA

Pella Corporation

Associate Data Engineer

Urbandale, IA · On-site

$106K - $127K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Develop and manage analytics-ready data models using lakehouse and dimensional modeling patterns ...

Pella Corporation

Associate Data Engineer

Urbandale, IA · On-site +1

$108K - $130K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Develop and manage analytics-ready data models using lakehouse and dimensional modeling patterns ...

Pella Corporation

Associate Data Engineer

Urbandale, IA · On-site +1

$108K - $130K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Develop and manage analytics-ready data models using lakehouse and dimensional modeling patterns ...

Pwc

Data Engineer - Senior Associate

Des Moines, IA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

State of Iowa

Data Scientist 1

Des Moines, IA · On-site +1

$81K - $124K/yr

... programming and data issues. It involves calculating, organizing, and summarizing data for analysis. Experience creating advanced visualizations and dashboards that clearly and easily communicate ...

Aureon

Data Architect

West Des Moines, IA · On-site

$58.50 - $75.25/hr

Lead architecture reviews and provide technical guidance to data engineers and analytics teams * Evaluate and recommend data technologies, tools, and platforms * Ensure data governance, metadata ...

SHAZAM

Data Architect

Johnston, IA · On-site

$120K - $170K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, along with 5+ years of experience in data architecture, data engineering, data analytics, or a similar ...

Tractor Zoom

Be Seen First

Senior Data Scientist

Des Moines, IA · On-site

$120K - $145K/yr

There is significant room for you to develop models and analytics ranging from time-series ... You will regularly work with our customers, designers, and engineers to build products used by ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Waukee, IA

Afternoon Data Analyst R Programming information

See Waukee, IA salary details

$32.6K

$79.3K

$130.4K

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

As of Jun 25, 2026, the average yearly pay for afternoon data analyst r programming in Waukee, IA is $79,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $93,000.00 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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Waukee, IA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Waukee, IA are:
What cities near Waukee, IA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Waukee, IA with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Associate Data Engineer

Associate Data Engineer

Pella Corporation

Urbandale, IA • On-site

$106K - $127K/yr

Full-time

Posted 20 days ago

Pella rating

7.7

Company rating: 7.7 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

187th of 520 rated manufacturers

Job description


Associate Data Engineer
Urbandale, IA or Remote
The Associate Data Engineer supporting Digital, Marketing, and Pro CX at Pella is responsible for building and maintaining the data foundations that enable scalable, reliable analytics across customer experience, digital performance, and marketing functions. This role focuses on designing data pipelines, transforming and modeling data, and ensuring high-quality, well-governed data is available for analytics, reporting, and advanced use cases.
This individual will work cross-functionally with the Digital team, Marketing team, and Pro CX team to support a wide range of analytics needs, including digital performance measurement, customer journey analysis, and marketing effectiveness. While not embedded within a single function, the role plays a critical part in enabling these teams by delivering trusted, production-ready data that supports insight generation and decision-making across Pella.
In this role, you will:
  • Design, build, and maintain reliable and scalable data pipelines using Azure-native services and Databricks to ingest data from digital, marketing, and enterprise systems.
  • Develop and manage analytics-ready data models using lakehouse and dimensional modeling patterns that support reporting, dashboards, and downstream analytics use cases.
  • Implement data transformations, validations, and quality checks within Databricks to ensure data is accurate, consistent, and production ready.
  • Optimize data pipelines and models for performance, cost, reliability, and reusability across the analytics ecosystem.
  • Enable analytics and BI use cases by making curated data easily consumable in Power BI and other analytics tools.
  • Partner closely with analysts, data scientists, and business stakeholders to translate analytical requirements into scalable technical solutions.
  • Collaborate with platform, integration, and vendor teams to onboard new data sources and evolve existing pipelines.
  • Document data pipelines, models, definitions, lineage, and assumptions to support governance, discoverability, and reuse.
  • Contribute to the continuous improvement of analytics standards, engineering best practices, and architecture patterns.
  • Support Digital, Marketing, and Pro CX teams by aligning analytics data with customer journeys, digital tools, and measurement frameworks.

Required Education & Experience:
  • 3+ years of experience in data engineering, analytics engineering, or a related technical analytics role.
  • Strong experience building data pipelines and transformations using Databricks (or comparable cloud-based data engineering platforms).
  • Hands-on experience with Microsoft Azure data services such as Azure Data Lake Storage, Azure Synapse, or similar.
  • Strong SQL skills, including complex joins, aggregations, window functions, and query optimization.
  • Proficiency in Python for data transformation, automation, and pipeline development.
  • Experience designing analytics data models (e.g., star schemas, fact and dimension tables).
  • Experience supporting BI and analytics tools, with a strong preference for Power BI.
  • Familiarity with digital and marketing data sources such as web analytics platforms, CRM systems, and advertising platforms.
  • Ability to collaborate effectively with analysts, data scientists, and business partners.
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.

Preferred Experience:
  • Experience with:
    • Databricks lakehouse architectures, Delta Lake, and notebook-based development.
    • Power BI semantic models, performance optimization, and enterprise reporting patterns.
    • Data governance, metadata management, and documentation practices.
    • Google Cloud Platform technologies such as BigQuery, Google Analytics, or Google Tag Manager.
    • Integrating data from platforms such as Salesforce, Fullstory, or other customer and digital experience tools.
    • Supporting cross-functional teams such as Digital, Marketing, Customer Experience, or E-commerce.
    • Modern CI/CD or version control practices for data pipelines and analytics assets.

Nice to Haves:
  • Experience working in hybrid-cloud or multi-platform analytics environments.
  • Familiarity with data quality frameworks, monitoring, and observability.
  • Interest in contributing to evolving enterprise analytics strategy and standards.

About Us
About Pella Corporation
As the #1 most-preferred national window and door brand by homeowners across the country, Pella Corporation leads the industry in innovation and design. Founded in 1925, today the Pella Family of Brands encompasses a robust product offering sold and installed through various channels. We are a growing, privately owned company with 20 manufacturing locations and over 10,000 team members in the U.S. and Canada. Pella is consistently recognized as a great place to work by Newsweek, Forbes and Glassdoor, having most recently been named to America's Greatest Workplaces for Diversity by Newsweek in 2024, as well as Forbes' 2024 Best Employers for Women and Best-In-State Employer in Iowa. We have also received numerous accolades for innovation and design, including Fast Company's Best Workplaces for Innovators in 2024 and Most Innovative Manufacturers for 2022 and 2023.
At Pella, our team cares deeply, learns continuously and achieves results that go beyond. We encourage creative thinking that seeks out and includes diverse perspectives. And we empower you to do the work you're most proud of - that's why we offer individualized talent development plans, cross-functional experiences and opportunities for career advancement through personal and professional development.
With talent just like you, we are imagining, building and fighting for a brighter future for generations to come. Ready to find a career that sparks your passion?

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About Pella

Sourced by ZipRecruiter

Pella Corporation, headquartered in Pella, IA, is an innovative leader in creating a better view for homes and businesses by designing, testing, manufacturing, and installing quality windows and doors for new construction, remodeling, and replacement applications. Founded in 1925, Pella is a family-owned and professionally managed privately held company, known for its history of innovation, making outstanding products, providing quality service, and delivering on customer satisfaction. The company is committed to incorporating new technologies, increasing productivity, and practicing environmental stewardship.

Industry

Building materials and garden equipment dealers

Company size

5,001 - 10,000 Employees

Headquarters location

Pella, IA, US

Year founded

1925

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