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Remote R Studio Jobs in Missouri (NOW HIRING)

Expertise in Qlik, Tableau, PowerBI or Looker Studio * Experience in Adobe Clickstream, Adobe ... Experience with an object-oriented programming language (R, Python etc.) * Ability to write ...

Remote R Studio information

What is the difference between Remote R Studio vs Remote Data Analyst?

AspectRemote R StudioRemote Data Analyst
Required CredentialsProficiency in R, data analysis skills, sometimes certifications in data scienceStatistical knowledge, data analysis skills, often a degree in related field
Work EnvironmentPrimarily focused on data analysis using R, often in research or analytics teamsAnalyzing data, creating reports, supporting decision-making across industries
Employer & Industry UsageTech companies, research institutions, analytics firmsBusiness, finance, healthcare, marketing sectors

Remote R Studio roles focus on data analysis using R programming, often requiring specific technical skills. Remote Data Analyst positions are broader, involving interpreting data, creating reports, and supporting strategic decisions across various industries. While both roles involve data work, Remote R Studio is more specialized in R programming, whereas Remote Data Analyst covers a wider range of data tools and applications.

What is a Remote R Studio job?

A Remote R Studio job involves using R Studio, an integrated development environment (IDE) for the R programming language, to analyze data, build statistical models, and create visualizations, all while working from a remote location. Professionals in this field typically work as data analysts, data scientists, or statisticians, collaborating with teams online and accessing data and computing resources remotely. Key responsibilities include writing R scripts, generating reports, and ensuring data accuracy. Remote R Studio jobs require strong programming skills in R, familiarity with data analysis techniques, and the ability to communicate findings effectively. These roles often offer flexibility in work hours and location.

What are the key skills and qualifications needed to thrive as a Remote R Studio Data Analyst, and why are they important?

To thrive as a Remote R Studio Data Analyst, you need strong statistical analysis skills, proficiency in R programming, and a relevant degree in statistics, data science, or a related field. Familiarity with R Studio, data visualization tools like ggplot2, and version control systems such as Git is typically required. Excellent problem-solving, communication, and time-management skills help you interpret and present complex data insights effectively while working independently. These abilities ensure accurate data analysis, effective collaboration, and successful project delivery in a remote setting.

How does working remotely as an R Studio professional impact collaboration and project workflow?

Working remotely as an R Studio professional typically involves frequent collaboration through digital communication tools like Slack, Zoom, or Microsoft Teams. Team members often share code and data using version control platforms such as GitHub, ensuring transparency and smooth workflow despite physical distance. While remote work offers flexibility and autonomy, it also requires proactive communication and time management to stay aligned with project goals and deadlines. Collaborating remotely means you may work across time zones, so clear documentation and regular check-ins are key to maintaining project momentum.
What job categories do people searching Remote R Studio jobs in Missouri look for? The top searched job categories for Remote R Studio jobs in Missouri are:
What cities in Missouri are hiring for Remote R Studio jobs? Cities in Missouri with the most Remote R Studio job openings:
Senior Marketing Business Intelligence Analyst (Remote)

Senior Marketing Business Intelligence Analyst (Remote)

Kohl's

Remote

Full-time

Posted 23 days ago


Kohl's rating

5.7

Company rating: 5.7 out of 10

Based on 1,446 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores


Job description

Role Specific Information

Job Description

About the Role

In this role, you will leverage data to drive strategic decision-making by designing, developing and optimizing scalable BI solutions. You will work closely with cross-functional teams to transform complex datasets into actionable insights, build robust data models and dashboards and enhance data-driven decision-making across the organization.

What You'll Do

  • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting

  • Leverage SQL to retrieve, transform and prepare data for robust analyses

  • Present findings to executive-level digital, marketing and merchandising leadership

  • Develop best practices for BI and Self Service

  • Directly query data in the Google Cloud Platform across different environments to prepare data for analytics

  • Institute an environment of ongoing learning and sharing of skills and knowledge to the broader analytics pyramid

  • Be a steward of customer, marketing and digital data and collaborate with IT and business stakeholders on projects related to using data and analytics

  • Additional tasks may be assigned

What Skills You Have

Required

  • 5+ years of experience, preferably working within a digital, IT, marketing, e-commerce or other applicable field or analytics organization

  • Advanced proficiency in SQL

  • Expertise in Qlik, Tableau, PowerBI or Looker Studio

  • Experience in Adobe Clickstream, Adobe Analytics

  • Experience working directly with business stakeholders to translate between data and business needs

  • Highly effective at communicating analysis and data visualizations with a non-technical audience

  • Proven ability to independently determine approaches to efficiently completing projects and managing processes

  • Knowledge of statistical analysis methods

  • Conceptual understanding of Data Mining and Machine Learning methodologies for analytical application

Preferred

  • Degree in Mathematics or Statistics, Economics, Computer Science, Predictive Analytics or similar

  • Experience with an object-oriented programming language (R, Python etc.)

  • Ability to write functions and end-to-end programs

  • Experience with Data Mining and Machine Learning methodologies

  • Experience with Google BigQuery

Essential Functions

The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl's may revise this job description at any time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.

  • Ability to perform the accountabilities listed in the "What You'll Do" Section

  • Ability to comply with dress code requirements

  • Basic math and reading skills, legible handwriting, and basic computer operation

  • Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company

  • Ability to learn and comply with all company policies, procedures, standards and guidelines

  • Ability to give direction and to receive, understand and proactively respond to direction from leadership and other company personnel

  • Ability to work as part of a team and interact effectively and appropriately with others

  • Ability to maintain composure and work in a fast paced environment while

  • accomplishing multiple tasks within established timeframes

  • Ability to satisfactorily complete company training programs

  • Ability to use a personal computer for tasks such as communicating, preparing reports, etc.

  • Ability to plan, prioritize and monitor activities across business units

  • Ability to complete or oversee the completion of assigned projects in a timely manner


What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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