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Remote Data Analyst R Programming Jobs in Milwaukee, WI

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

About The Opportunity ORBIS is seeking a Master Data Analyst to ensure the accuracy, integrity, and ... Associate degree in Business, Supply Chain, Design, Engineering, or related field required ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Scientist In this role you will work with a data science team and cross-functional partners to ... Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R ...

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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Remote Data Analyst R Programming information

See Milwaukee, WI salary details

$33.5K

$81.4K

$134K

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

As of Jun 3, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in R Programming, and why are they important?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

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 Remote Data Analyst R Programming jobs in Milwaukee, WI? For Remote Data Analyst R Programming jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Milwaukee, WI look for? The top searched job categories for Remote Data Analyst R Programming jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Remote Data Analyst R Programming jobs? Cities near Milwaukee, WI with the most Remote Data Analyst R Programming job openings:
Genomics Research Programmer Analyst Associate - Remote

Genomics Research Programmer Analyst Associate - Remote

Aurora Health Care

Milwaukee, WI โ€ข On-site, Remote

Full-time

Posted 9 days ago


Job description

Overview The Genomics Research Programmer Analyst โ€“ Associate is responsible for helping to build and maintain Advocate's newly emergent genomic data warehouse to ensure high standards of data quality, security, and integrity. The role supports research initiatives by fulfilling data requests, which involves extracting genomic data and integrating it, when required, with patient clinical records and other sources to enable comprehensive analysis. Responsibilities Monitors and ensures the integrity, quality, and security of genomic data stored in the data warehouse.

Develops, tests, and debugs moderately complex SQL and routine R or Python code to deliver reproducible analysis-ready datasets. Documents processes and rationales with code. Provides data dictionaries and descriptive statistics with datasets as appropriate.

Maintains documentation for data workflows, pipelines, and warehouse architecture. Troubleshoots data pipeline issues and optimizes performance. Stays current with industry best practices and emerging technologies in genomics and data engineering.

Assists with defining functional requirements, formulating technical specifications, and researching and evaluating alternatives for moderately complex custom applications and processes that support research. Participates in data mapping and cleaning activities. Makes recommendations and improves data quality within research data infrastructure.

Ensures datasets are accessible and provided to research investigators and stakeholders in a manner consistent with HIPAA, IRB, legal agreements, policies and procedures, and other appropriate standards. Licensure, Registration, And/Or Certification Required Epic Caboodle Data Model certification issued by Epic. needs to be obtained within 6 months.

Epic Clarity Data Model certification issued by Epic (CLR110). needs to be obtained within 6 months. Epic Clinical Data Model certification issued by Epic (COG240).

needs to be obtained within 6 months. Education Required Bachelor's Degree in Computer Science or related field. Experience Required No experience required.

1-3 years experience preferred. Knowledge, Skills & Abilities Required Knowledge of genomic data formats (e.g., VCF, FASTQ), genomic data management, and genomic research methods. Experience with SQL, R programming languages.

Python and Bash preferred. Familiarity with genomic analysis tools such as SAMtools, BEDtools, DESeq2. Ability to incorporate new technical and analytical skills into current capabilities.

Ability to think analytically, logically, and use creativity. Ability to work independently, or as part of a team and balance multiple priorities. This role will help develop a technical solution for Advocate's genomics buildout.

The role will need to be familiar with genomic data and be ready to get training and certification in Epic data models over the next 6 months. Work Location, Remote Policy, and Conditions The Office of Research Analytics and Systems Computing is the research informatics team for the IL/WI divisions. We work with researchers to develop patient cohorts for each study in addition to analytical services (e.g., data science, etc.).

Remote options: Preferred remote locations in IL, WI, NC, GA. Fully remote role available from: AL, AK, AR, AZ, DE, FL, GA, IA, ID, IL, IN, LA, KS, KY, ME, MI, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, WI, WV, WY. Remote work is not permitted for short or long periods in CA, CO, CT, HI, MA, MD, MN, NJ, NY, OR, RI, VT, WA or for international locations (including vacations).

No relocation, sponsorship, or transfer of visa for this position. Physical Requirements And Working Conditions Position may require travel which may result in exposure to road and weather hazards. Exposed to normal office environment.

Operates all equipment necessary to perform the job. This job description indicates the general nature and level of work expected of the incumbent. It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent.

Incumbent may be required to perform other related duties. #J-18808-Ljbffr