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Afternoon Data Analyst R Programming Jobs in Plant City, FL

Developing custom data querying and manipulation capabilities using languages such as R, Python ... Working collaboratively with data engineers and data scientists to produce qualitative and ...

Developing custom data querying and manipulation capabilities using languages such as R, Python ... Working collaboratively with data engineers and data scientists to produce qualitative and ...

... advanced data engineering · Respond to BI tool inquiries and collaborate with training to ... SQL, Python, R to pair with Data Analytics experience. * Reporting tool experience (ex: Tableau ...

Mid Data Analyst

Tampa, FL · On-site

$61K - $141K/yr

R0245563 Data Analyst, Mid The Opportunity: As a data analyst, you love diving into data and ... programming languages such as R, Python, or SQL * Knowledge of how to identify new sources of data ...

Data Analyst, Mid

Tampa, FL · On-site

$61K - $141K/yr

As a data analyst, you love diving into data and turning it into meaningful insights. With the ... programming languages such as R, Python, or SQL * Knowledge of how to identify new sources of data ...

Strong proficiency in data analysis tools and programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI. * Experience with machine learning algorithms, AI ...

Strong proficiency in data analysis tools and programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI. * Experience with machine learning algorithms, AI ...

Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data ... GCP Professional Cloud Developer / Microsoft Azure Certified Developer

Job Title: Data analyst Location: Onsite Long Term Contract Job Summary: We are looking for an ... Data engineer: ETL process, data warehouse, Snowflake. Wide experience in collaboration with ...

Data Analyst Work Location: Tampa, FL Duration: 8+ Months Required Skills - SQL Developer Nice to have skills - Splunk,SQL Server Job summary • Over 4 years of experience in Data and strong ...

Data Analyst III Contract | Remote (EST Only) Duration: 6 Months (Contract-to-Hire Potential) Start ... Programming experience in one or more of the following: * C# * Java * Python * SQL * Excellent ...

Senior Data Analyst

Tampa, FL · Hybrid

$104K - $130K/yr

Senior Data Analyst - Tampa, FL Be a part of a revolutionary change!    At Philip Morris ... Work closely with data architect, data engineers to validate mapping logic, transformations, and ...

Sr Data Analyst

Tampa, FL · On-site

$81K - $102K/yr

Senior Data Analyst - Tampa, FL Be a part of a revolutionary change! At Philip Morris International ... Work closely with data architect, data engineers to validate mapping logic, transformations, and ...

The Distributor Data Analyst also partners with internal Fintech support teams to improve the ... Contribute to the development of distributor programming and support material for efficient ...

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Afternoon Data Analyst R Programming information

See Plant City, FL salary details

$29.9K

$72.6K

$119.5K

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

As of Aug 10, 2026, the average yearly pay for afternoon data analyst r programming in Plant City, FL is $72,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $85,200.00 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?

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 cities near Plant City, FL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Plant City, FL with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Plant City, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $72,596 per year, or $34.9 per hour.

Full-time

Posted 9 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 242 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 Tampa, FL.

The Data Analyst will leverage their strong technical background and knowledge to manipulate and analyze data in accordance with data management policies to support mission and business functions and tasks.

Responsibilities include but are not limited to:

  • Identifying new sources of data and methods to improve data collection, analysis, and reporting.

  • Collecting customer requirements for analysis, reporting and visualization and determining technical paths to fulfilling them.

  • Developing custom data querying and manipulation capabilities using languages such as R, Python, SQL or JavaScript

  • Using data solutions, tools, and capabilities to enable self-service frameworks for data consumers.

  • Improving the quality and usability of data by driving through application of principles of data quality management.

  • Working collaboratively with data engineers and data scientists to produce qualitative and quantitative analysis of data that support Sponsor products.

Minimum Qualifications:

  • Bachelor's degree in a computer science discipline or equivalent.

  • Experience with data collection, data cleaning, statistical analysis, data visualization and reporting.

  • Experience working across a large team to drive a data agenda.

  • Experience working with complex, interrelated systems and data flows.

  • Experience creating, maintaining, and communicating complex technical documentation.

  • Active Secret clearance is required.

Preferred Qualifications:

  • Experience with the Sponsor’s primary cyber risk and compliance automation tools.

  • Self-starter with excellent people skills - able to work across teams and drive change throughout an organization.

  • Active Top Secret clearance with SCI eligibility.

Clearance Requirements:

  • An active Secret clearance is required with the ability to obtain a TS/SCI

Physical Requirements:

  • Must be able to remain in a stationary position 50%.

  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.

  • Must be able to exchange accurate information in these situations.


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