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Afternoon Data Analyst R Programming Jobs in Milwaukee, WI

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

Rather than hiring a narrowly scoped reporting analyst or narrow data engineer, MLG Capital is adding a versatile utility player who can help move data from source to insight, supporting backend data ...

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

... programming language (Python preferred) * Basic understanding of data warehousing concepts * Experience with Git or version control tools * Strong problem-solving and analytical skills Preferred

Milliman

Data Engineer (MedInsight)

Brookfield, WI · On-site +1

$93K - $177K/yr

MedInsight's engineering team is building the next generation of healthcare data analytics. We are ... Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance ...

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

Rather than hiring a narrowly scoped reporting analyst or narrow data engineer, MLG Capital is adding a versatile utility player who can help move data from source to insight, supporting backend data ...

Komatsu

IT Manager, Data & Analytics

Milwaukee, WI · On-site

The IT Manager, Data & Analytics owns and governs Komatsu's enterprise data and analytics platforms, including Palantir Foundry, Microsoft Power BI, Azure Synapse, and associated data engineering ...

Komatsu

IT Manager, Data & Analytics

Milwaukee, WI · On-site

... analysts, engineers, business intelligence specialists, and innovation experts to deliver high-quality, data-driven solutions, while overseeing ongoing support. • Advises business leaders by ...

Cliftonlarsonallen

Manager of Data Science

Racine, WI · On-site

... in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping ... Lead and oversee large scale analytical and AI initiatives, including data acquisition ...

KOHLS

Measurement Analyst

Menomonee Falls, WI

Leverage GCP BigQuery environment and data science tools (i.e. SQL, Python, or R) to develop and ... Advanced Degree in Data Science, Data Analytics or similar * Experience with supervised and ...

Deloitte

Data Scientist

Milwaukee, WI

... programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms. * 5+ Years of Experience with data manipulation and analysis ...

LRS

Senior Data & Analytics Engineer

Milwaukee, WI · On-site

$65 - $95/hr

... data architecture, modeling, engineering, and reporting. Key Responsibilities Partner with business leaders to understand analytics needs and define solution roadmaps Design scalable data and ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Fiserv, Inc.

Big Data Engineer, Senior

Milwaukee, WI · On-site

$55 - $72.75/hr

Perform in-depth data quality analysis, identifying and resolving anomalies, inconsistencies, and errors to maintain data integrity. Work closely with developers, analysts, and client-facing teams to ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Milwaukee, WI

Afternoon Data Analyst R Programming information

See Milwaukee, WI salary details

$33.5K

$81.4K

$134K

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

As of Jun 14, 2026, the average yearly pay for afternoon data analyst r programming in Milwaukee, WI is $81,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $95,600.00 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 are the most commonly searched types of Data Analyst R Programming jobs in Milwaukee, WI? The most popular types of Data Analyst R Programming jobs in Milwaukee, WI are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Milwaukee, WI? For Afternoon Data Analyst R Programming jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Milwaukee, WI look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Afternoon Data Analyst R Programming jobs? Cities near Milwaukee, WI with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Manager, Analytics, Data Engineering & Governance

Manager, Analytics, Data Engineering & Governance

Quad

Sussex, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Quad rating

6.8

Company rating: 6.8 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

412th of 518 rated manufacturers

Job description

Job Description
General Purpose of Job
The Manager, Analytics, Data Engineering & Governance supports the administration, governance, and operational enablement of audience and marketing data platforms used across Quad's Direct Marketing and analytics environments.
This role combines hands-on Snowflake administration, data governance coordination, and third-party data enablement to ensure data is secure, compliant, and accessible for approved business use. The individual partners across analytics, engineering, legal, compliance, and account teams to support the effective use of audience data within direct marketing programs and regulated client environments.
The role is particularly important in supporting environments that require strong controls around sensitive data, including Personally Identifiable Information (PII), Protected Health Information (PHI), and other regulated data assets
Snowflake Administration & Data Enablement
  • Administer and support Snowflake environments used for audience data, analytics, and marketing programs.
  • Manage
    • User access and permissions
    • Role-based security controls
    • Data organization and environment structures
  • Support ingestion and organization of third-party and licensed data within Snowflake.
  • Partner with analytics and engineering teams to ensure data availability and usability for downstream processes.
  • Help troubleshoot data access, governance, and platform-related issues.

Data Governance & Compliance Support
  • Support governance processes related to audience, client, and marketing data usage
  • Help ensure compliance with:
    • Data licensing agreements
    • Internal governance standards
    • Privacy regulations and client-specific requirements
  • Assist in maintaining documentation related to data access, usage approvals, and governance procedures.
  • Support operational readiness for audits and compliance reviews.

Sensitive Data Management (PII / PHI)
  • Support secure handling and governance of:
    • Personally Identifiable Information (PII)
    • Protected Health Information (PHI)
    • Other sensitive or regulated client data
  • Ensure appropriate controls are applied to sensitive datasets, including access restrictions and approved usage practices.
  • Partner with compliance and security teams to support high-compliance client environments and data protection requirements.
  • Help ensure data workflows align with organizational and regulatory security standards.

Audit & Compliance Readiness
  • Support governance activities related to:
    • SOC 2 compliance
    • Client data audits
    • Internal security reviews
  • Maintain and organize documentation supporting audit readiness and data governance controls.
  • Assist in validating that data access, retention, and usage practices align with established standards and policies.
  • Support remediation and follow-up activities related to governance or compliance findings.

Data Partnerships & Integration
  • Support onboarding and operational integration of third-party data providers.
  • Maintain documentation of partner data attributes, usage rights, and applicable use cases.
  • Ensure partner data is properly governed and aligned with allowable usage terms.
  • Coordinate with internal teams to support compliant and effective use of partner data

Cross-Functional Collaboration
  • Work across:
    • Analytics and Data Science
    • Technology and Engineering
    • Legal and Compliance
    • Audience & Data Services
    • Sales and Account teams
  • Support alignment between data governance requirements and operational business needs.
  • Escalate complex technical, legal, or compliance issues as appropriate.

Job Requirements
  • 5+years of experience in data operations, data governance, marketing data environments, or related roles
  • Hands-on experience supporting Snowflake or similar cloud-based data platforms
  • Experience working with sensitive or regulated data environments preferred.
  • Exposure to third-party data, audience data, or marketing analytics
  • Job Requirements

Knowledge, skills, and abilities
  • Snowflake & Data Platform Skills
    • Experience supporting Snowflake administration Including:
      • User roles and permissions
      • Access controls
      • Data organization and governance
  • Familiarity with structured datasets and cloud data environments
  • Basic working knowledge of SQL and data querying concepts

Governance & Compliance and Awareness
  • Understanding Of:
    • Data Privacy and governance practices
    • PII and PHI handling requirements
    • SOC 2 or similar compliance frameworks
  • Ability to follow and support established governance procedures and controls

Collaboration & Communication
  • Strong organizational and cross-functional collaboration skills
  • Ability to communicate technical concepts clearly to non-technical stakeholders
  • Detail-oriented with strong process discipline and follow-through

Core competencies
  • Snowflake administration
  • Data governance & access management
  • PII / PHI handling awareness
  • SOC 2 and audit support
  • Data partnership coordination
  • Cross-functional collaboration.

#LI-DP1
About Us
Rise is an award-winning, full-service Media Agency of Record that is backed by data and powered by people. We create omnichannel experiences using our proprietary tech stack and advanced analytics capabilities to help solve the unique struggles brands face today. This approach, with transparency at its core, specializes in omnichannel media, commerce and retail media, advanced in-home media, as well as content and creator marketing.
We offer "Risers" the opportunity to work in an ever-evolving industry that will foster learning and development, provide an innovative work environment with diverse projects and clients, career advancement paths a collaborative team environment, corporate social responsibility initiatives, an inclusive and diverse culture, plus association with a reputable media agency. We're looking for talent like you who can continue to elevate our work and culture.
About the Team
We offer comprehensive benefits for eligible employees including medical, prescription, dental and vision insurance, 401(k) retirement savings, paid time off, holidays and additional benefits.
Rise and Quad are proud to be equal opportunity employers. We are committed to creating a place of belonging - a space where employees do not need to sacrifice who they are to exist and grow in our workplace. Rise and Quad do not discriminate on any unlawful basis including race, religion, color, national origin, disability, gender, gender identity, sexual orientation, age, marital status, veteran status, genetic information, or any other basis prohibited by applicable federal, state, or local laws. Rise and Quad also prohibit harassment of applicants and employees based on any of these protected categories.
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