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Afternoon Data Analyst R Programming Jobs in Miami Beach, FL

Proficiency in data analysis tools and languages such as SQL, Python, R, or similar. * Ability to communicate complex data findings clearly to technical and non-technical stakeholders. * Familiarity ...

Engineering About eMed eMed is a pioneering digital-health leader built on its Empathetic AI™ ... Data analysts will develop analysis and reporting capabilities. In addition, they will monitor ...

Proficiency in data analysis tools and languages such as SQL, Python, R, or similar. * Ability to communicate complex data findings clearly to technical and non-technical stakeholders. * Familiarity ...

Proficiency in data analysis tools and languages such as SQL, Python, R, or similar. * Ability to communicate complex data findings clearly to technical and non-technical stakeholders. * Familiarity ...

Proficiency with reporting packages, databases, programming languages (e.g., XML, Javascript, or ET ... Minimum of 5 years of experience in a data analyst role or similar. * Proven abilities in ...

New

Engineer and maintain robust data pipelines using modern ETL tools and cloud platforms (e.g., Azure, AWS, GCP) to support real-time and batch analytics. * Develop New Data Objects and Power BI ...

As the Data Analyst Researcher , you'll build and deliver the research behind those decisions. You ... R, and clear data visualization. • Detail orientation, independence, and discretion handling ...

As the Research & Data Analyst , you'll build and deliver the research behind those decisions. You ... R, and clear data visualization. • Detail orientation, independence, and discretion handling ...

As the Research & Data Analyst , you'll build and deliver the research behind those decisions. You ... R, and clear data visualization. • Detail orientation, independence, and discretion handling ...

As the Data Analyst Researcher , you'll build and deliver the research behind those decisions. You ... R, and clear data visualization. • Detail orientation, independence, and discretion handling ...

Senior Data Analyst

Miami, FL · Remote

$115K - $145K/yr

Proactively identify and investigate data quality issues -- with root-cause evidence -- and partner with Analytics Engineers and Data Engineers to resolve upstream problems promptly. · Write high ...

Engineer and maintain robust data pipelines using modern ETL tools and cloud platforms (e.g., Azure, AWS, GCP) to support real-time and batch analytics. Donato Technologies Inc. is a trusted ...

Engineer and maintain robust data pipelines using modern ETL tools and cloud platforms (e.g., Azure, AWS, GCP) to support real-time and batch analytics

Proficiency in data analysis tools and languages such as SQL, Python, R, or similar. * Ability to communicate complex data findings clearly to technical and non-technical stakeholders. * Familiarity ...

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Afternoon Data Analyst R Programming information

See Miami Beach, FL salary details

$33.6K

$81.6K

$134.3K

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

As of Jul 19, 2026, the average yearly pay for afternoon data analyst r programming in Miami Beach, FL is $81,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,800.00 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 Miami Beach, FL? For Afternoon Data Analyst R Programming jobs in Miami Beach, FL, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Miami Beach, FL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Miami Beach, FL are:
What cities near Miami Beach, FL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Miami Beach, FL with the most Afternoon Data Analyst R Programming job openings:
Data Analyst

Full-time

Re-posted 29 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

30th of 209 rated software companies


Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career and customer-oriented Data Analyst to join our team in Doral, FL.

Responsibilities include but are not limited to:

  • Lead the development and implementation of data strategies and frameworks that drive decision-making and organizational learning across the enterprise.
  • Maintain and enhance the accuracy and reliability of the CMDB by validating hardware models, correcting asset records, and standardizing location entries in alignment with ServiceNow data governance standards.
  • Develop predictive models, conduct simulations, and perform statistical analyses to deliver actionable insights that optimize program performance and support strategic decision-making.
  • Design and develop reports, dashboards, and visualizations that effectively communicate complex data findings to stakeholders at all levels of the organization. Design and manage complex data collection, storage, and retrieval processes, ensuring data quality, integrity, and accessibility for analysis and reporting.
  • Contribute to the development and implementation of data governance policies, ensuring compliance with regulatory requirements and industry best practices. Contribute to the development and rollout of ServiceNow modules. Ability to understand the platform and utilize data for analysis.
  • Conduct comprehensive assessments to track utilization across multiple environments, identifying opportunities for cost reduction and operational efficiency improvements.
  • Collaborate with cross-functional teams to identify data needs, address reporting gaps, and deliver timely, accurate insights that support mission objectives. 

Minimum Qualifications:

  • Bachelor’s degree in relevant field and 4 years of overall experience OR a master’s degree and 2 years of experience or a PhD.
    • High School Diploma and 4 years of additional experience may be exchanged in lieu of a required bachelor’s degree
    • Associate’s degree and 2 years of additional experience may be exchanged in lieu of a required bachelor’s degree
  • Proficiency in data analysis tools and languages such as SQL, Python, R, or similar.
  • Ability to communicate complex data findings clearly to technical and non-technical stakeholders.
  • Familiarity with IT asset management systems and CMDBs (e.g., ServiceNow) is preferred.

Preferred Qualifications:

  • Master’s degree or PhD in Data Science, Information Technology, Cybersecurity, Computer Science, or related field.
  • Demonstrated knowledge of IT service management best practices and their integration with data science initiatives. Experience with Risk Management Framework (RMF) and its application to data security and privacy. Experience with Zero Trust Architecture principles and their implementation in data environments.
  • Relevant certifications in data science or data analytics (e.g., Certified Analytics Professional (CAP), Cloudera Certified Professional Data Scientist (CCP:DS)). ITIL Foundation certificate.
  • Experience at a DoD Combatant Command (e.g., SOUTHCOM, NORTHCOM, CENTCOM, CYBERCOM, INDOPACOM, EUCOM, AFRICOM, STRATCOM, TRANSCOM, SOCOM, SPACECOM) or a component is desired.
     

Clearance Requirements:

  • Must have an active Secret clearance
     

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time.
  • Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

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