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Remote Data Analyst R Programming Jobs in Florida

MGT

Data Analyst - Global/Offshore

Tampa, FL · Remote

Job Title: Data Analyst Location: Remote (non-US-based) Job Summary: MGT is seeking a highly ... Experience in coding programs such as Python, SQL, R, or similar. * Experience in building or ...

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Truvani

eCommerce Data Analyst - REMOTE

Miami, FL · On-site +1

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Truvani

eCommerce Data Analyst - REMOTE

Miami, FL · Remote

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Suncoast Credit Union

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Fraud Analyst actively ... The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze ...

Varsity Tutors

Data Science Tutor

Orlando, FL · Remote

$18 - $40/hr

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 ...

Varsity Tutors

Data Science Tutor

Miramar, FL · Remote

$18 - $40/hr

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 ...

Varsity Tutors

Data Science Tutor

Saint Petersburg, FL · Remote

$18 - $40/hr

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 ...

Varsity Tutors

Data Science Tutor

Sunrise, FL · Remote

$18 - $40/hr

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 ...

Varsity Tutors

Data Science Tutor

Jacksonville, FL · Remote

$18 - $40/hr

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 ...

Varsity Tutors

Data Science Tutor

Fort Lauderdale, FL · Remote

$18 - $40/hr

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 ...

Varsity Tutors

Data Science Tutor

Cooper City, FL · Remote

$18 - $40/hr

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 ...

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Remote Data Analyst R Programming information

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 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 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 are the most commonly searched types of Data Analyst R Programming jobs in Florida? The most popular types of Data Analyst R Programming jobs in Florida are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Florida? For Remote Data Analyst R Programming jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Florida look for? The top searched job categories for Remote Data Analyst R Programming jobs in Florida are:
What cities in Florida are hiring for Remote Data Analyst R Programming jobs? Cities in Florida with the most Remote Data Analyst R Programming job openings:
Remote Data Analyst R Programming jobs near you

Data Analyst - Global/Offshore

MGT

Tampa, FL • Remote

Full-time

Posted yesterday

Job description

Job Title: Data Analyst

Location: Remote (non-US-based)

Job Summary: 

MGT is seeking a highly innovative team member to apply their passion for data analysis to scale our impact. The Data Analyst will play a key role in capturing data, performing analysis, and developing visualizations that enable MGT to intentionally use data to inform our social impact strategy and reach our goals.

The ideal candidate will support data collection, synthesis, organization, analysis, visualization, and propose solutions based on data across different activities in OGAT.  This is an entrepreneurial environment that fosters learning and encourages process improvement. The Data Analyst will have the opportunity to work in support of our consulting practices with limitless opportunities to make an impact on the future of our organization.

MGT is a leading social impact and performance solutions firm that serves state, local, education, technology, and commercial clients across the U.S. and abroad. By elevating education systems, managing and securing critical networks, solving complex human capital and fiscal problems, and advancing equity as a performance imperative, we can impact communities for good, through client partnership.

Key Responsibilities:

  • Gather client metrics across the SIS business to be used in evaluating our impact and business strategy.
  • Identify, clean, merge, and filter datasets from multiple sources to generate high-quality cross-functional datasets.
  • Develop strategic data visualizations.
  • Create, deliver, and manage a client survey system to calculate key metrics to improve the delivery of solutions.
  • Develop scalable data systems using advanced tools such as coding programs and AI.
  • Support software development and maintenance.
  • Support data management and analysis in CRM platforms.
  • Translate analytic insights into clear business actions to ensure SIS makes well-informed decisions based on empirical evidence.

MINIMUM QUALIFICATIONS:

  • Bachelor’s degree from an accredited college or university
  • Two (2) or more years of experience in research, business intelligence, statistics, data analysis, or similar.
  • Experience creating basic reports or dashboards using Power BI, Tableau, or other business intelligence tools (e.g., Looker, Qlik, or similar).
  • Experience in coding programs such as Python, SQL, R, or similar.
  • Experience in building or analyzing data models using AI/ML tools to identify trends, generate insights, and support datadriven decisionmaking.
  • Experience in software development life cycle and data analytics.
  • Advanced or Native-level English fluency.
  • Ability to be available during U.S. business working hours (ET time zone).

PREFERRED QUALIFICATIONS:

  • Familiarity with CRM software such as Salesforce is a plus.
  • Proven analytical, database design, and analysis skills, including the ability to translate data into actionable reports and recommendations.
  • Quick learner, independent, and capable of carrying out tasks without further instructions.
  • Ability to adapt to the dynamic nature of multiple concurrent initiatives.
  • Ability to navigate ambiguity comfortably and meet frequent deadlines.
  • Problem solver, willing to propose solutions to roadblocks that may arise rather than rely on others to solve them.
  • A sense of humor and ability to work in a dynamic environment.
  • Strong sense of continuous learning and teamwork.

 

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