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Afternoon Data Analyst R Programming Jobs in Milwaukee, WI

Data Strategy-Manager

Milwaukee, WI · On-site

$99K - $232K/yr

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

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

The Data Engineer is responsible for the comprehensive data and reporting infrastructure at ... Python, R, PowerShell, or others). Strong Analytical and problem-solving skills Demonstrated ...

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Conduct exploratory data analysis to cull actionable insights using analytical rigor and ... modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL ...

Data Governance- Manager

Milwaukee, WI · On-site

$99K - $232K/yr

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

Lead exploratory data analysis to cull actionable insights * Collaborate with stakeholders to ... Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R ...

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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 Jul 17, 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 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:
AI Project Data Modelling Analyst

AI Project Data Modelling Analyst

The Home Depot

Milwaukee, WI • On-site

$75K - $100K/yr

Full-time

Re-posted 13 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,355 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

About Us
Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.
For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.

OurDigital Procurement Visionfocuses on creating an agile, efficient, and integrated Procurement function with theexpertiseto continuously capitalize on technology advancements.Thisfocus will help generateadditionalvalue for Procurement by achieving World Class savings effectiveness and enhancing productivity. Additionally,the broader enterprisewillbenefitfrom improved user experience and more efficient processes.

Johnson Controls is making a considerable investment in AI tools including Palantir Foundry as part of our Digitization Journey. To achieve the desired outcomes within the specifiedtimeframe, we are hiring anAI Data Modelling Analyst

This roleis responsible forleveragingAI tools including Palantir Foundry's capabilities to create and analyze data models, perform scenario analysis, andprovideactionable insights to support decision-making processes. The successful candidate will work closely with category managers to understand requirements and deliver scenarios in an agile and interactive manner.TheAI Data Modelling Analystwill work closely with the product owner to ensure that models are built to the defined standards.The analyst will also work to ingest new sourcesIt is expected that theAI Data Modelling Analystwill shadow AI analysts and engineers "learning on the job" with a view to adding new sources and creating new scenarios to drive business value

Responsibilities

  • Utilize AI tools includingPalantir Foundry to integrate, analyze, and model data from various sources.

  • Develop andmaintaindata models and scenarios to support businessobjectives.

  • Perform "what-if" analyses usingAI tools includingPalantir Foundry's scenario modeling features.

  • Collaborate with stakeholders to understand data requirements and deliver insights.

  • Ensure data quality and integrity throughout the analysis process.

  • Communicate findings and recommendations to stakeholders through reports and presentations.

Requirements

  • Bachelor's degree preferably in Data Science, Computer Science, Statistics or Engineering

  • Understanding of JCI data environment is an advantage

  • Knowledge of AI tools especially Palantir Foundry for data integration, analysis, and scenario modeling.

  • Strong ability to perform "what-if" analyses andprovideactionable insights to support decision-making processes.

  • Experience working closely with stakeholders,to understanddatarequirementsanddeliverinsights.

  • Ability to ensure data quality and integrity throughout the analysis process.

  • Effective communication skills to effectively present findings and recommendations to stakeholders through reports and presentations.

  • Familiarity with data ingestion processes and the ability to work with IT to integrate new data sources.

  • Willingness to learn new AI toolse.g.shadow analysts/engineers and learn on the job to continuously improve skills

  • Strong problem-solving skills to address complex data challenges and drive business value.

HIRING SALARY RANGE: $75,000 - $100,000 (Salary to be determined by the education,experience, knowledge, skills, and abilities of the applicant, internal equity, and alignmentwith market data.) This role also offers a competitive Sales Incentive Plan that will take intoaccount volume and margin on a project, quarterly, and annual basis. This position includes acompetitive benefits package. The posted salary range reflects the target compensation forthis role. However, we recognize that exceptional candidates may bring unique skills and
experiences that exceed the typical profile. If you believe your background warrantsconsideration beyond the stated range, we encourage you to apply. To support an efficientand fair hiring process, we may use technology assisted tools, including artificial intelligence(AI), to help identify and evaluate candidates. All hiring decisions are ultimately made byhuman reviewers. For details, please visit the About Us tab on the Johnson Controls Careerssite at https://jobs.johnsoncontrols.com/about-us.

Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.


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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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