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Afternoon Data Analyst R Programming Jobs (NOW HIRING)

SQL Server, Oracle, PostgreSQL, MySQL - Programming and/or scripting (Python, R, Java) - Background in Law Enforcement, Data Science, Investigations, Data Analysis, Computer Information Systems, or ...

... SQL, etc), programming (XML, Javascript, or ETL frameworks) • Knowledge of statistics and ... SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine ...

... programming concepts Experience with statistical tools and concepts (R, SPSS, SAS) Preferred skill set: Experience with Oracle/Exadata, Teradata, AWS Redshift/Hadoop, Splice open source data ...

Data Analyst Location: Pittsburgh, PA Onsite position Fulltime Position *****NO C2C**** JD * Data ... Programming Languages: Familiarity with languages like Python or R. * Data Cleaning and Preparation:

... Engineering, or a related discipline. * Advanced proficiency in SQL with strong understanding of data modeling and normalization best practices. * Proficiency in Python (or R) for data analysis ...

... Engineering, or a related discipline. * Advanced proficiency in SQL with strong understanding of data modeling and normalization best practices. * Proficiency in Python (or R) for data analysis ...

New

Collaborate with data engineers to optimize the data platform to product the analysis results in ... R. * Demonstrated ability to effectively engage, collaborate, and consult with stakeholders ...

R Programming SQL Data Analysis Specific Accountabilities/Essential Functions of Position Conceptualize, design and support the implementation of analytics and reports utilizing a variety of data ...

Collaborate closely with engineering teams on data sourcing, transformations, pipeline optimization ... Proficiency in data analysis, data wrangling, and automation using Python and/or R. * Experience ...

Collaborate with data engineers to optimize the data platform to product the analysis results in ... R. * Demonstrated ability to effectively engage, collaborate, and consult with stakeholders ...

Basic experience with Python or R for data analysis and automation. * Understanding of data ... Collaborate with Data Engineers, Business Analysts, and leadership teams on data initiatives.

Data Analyst

San Francisco, CA · Remote

$1.0K - $1.2K/mo

... programming languages such as Python or R, with the ability to manipulate and analyze data efficiently. • Adept at working with large datasets, utilizing statistical techniques to extract ...

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

You'll work directly with stakeholders, engineers, operators, and senior leaders to uncover trends ... Proficient in SQL and data manipulation tools such as Excel, Python, or R. * BI Tools Experience:

Data Analyst

Washington, DC · On-site

$85K - $115K/yr

Utilize technologies including Python, R, SQL, and Tableau to analyze data and identify trends ... Apply foundational mathematical and statistical concepts, programming skills, and clear ...

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Afternoon Data Analyst R Programming information

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$34K

$82.6K

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

As of Jul 9, 2026, the average yearly pay for afternoon data analyst r programming in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.
More about Afternoon Data Analyst R Programming jobs
What cities are hiring for Afternoon Data Analyst R Programming jobs? Cities with the most Afternoon Data Analyst R Programming job openings:
What are the most commonly searched types of Data Analyst R Programming jobs? The most popular types of Data Analyst R Programming jobs are:
What states have the most Afternoon Data Analyst R Programming jobs? States with the most job openings for Afternoon Data Analyst R Programming jobs include:
What job categories do people searching Afternoon Data Analyst R Programming jobs look for? The top searched job categories for Afternoon Data Analyst R Programming jobs are:
Infographic showing various Afternoon Data Analyst R Programming job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 51% Full Time, 39% Part Time, 1% Temporary, 2% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago


Job description

Job Title: Data Analyst
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: DOJ MBI
Employee Type: Regular
Percentage of Travel Required:
Type of Travel: None
* * *
Job Description:
The Data Analyst within the CACI Data Analytics lab is responsible for providing data analytics support for projects related to investigations and litigation cases This includes supporting projects from initiation to closure, developing deliverables and occasionally serving as a primary point-of-contact for attorneys, investigators, and case teams. Data Analysts integrate a wide variety of data types and formats from primary and secondary sources through diverse channels using a combination of methods that are researched and employed by the Data Analytics Lab Management team. Data Analysts develop, maintain, and enforce streamlined and efficient processes for project lifecycles, from collection through transformation of data, and assist senior staff in the creation and finalization of client deliverables. Data analysts will occasionally manage the collection, documentation, vetting and onboarding of data, including database development and set up, and the loading of data into the appropriate analytical tools. Must have the ability to guide and assist other team members as required.
More About the Role
The data analyst is responsible for defining, developing, and communicating data analytics solutions to support the customer. This includes:
- Corresponding with key case personnel to elicit requirements and provide regular status updates
- Performing data analysis and modeling to understand and identify data relationships/trends/classifications/predictions
- Proposing reporting solutions that best present the information to the end user
- Delivering the completed solution
This position requires strong analytical, problem solving, and communication skills with a keen attention to detail. Additionally, the problems and toolset are quite varied, and the candidate should take the initiative to attack new challenges and learn new skills independently. This person must be well organized and flexible.
You'll Bring These Qualifications
We desire someone with diverse experience and skills in data analysis, litigation support, statistical software, analytic programming languages (Python, R, Java, SAS), visualization software, and database management.
Requirements:
- Significant experience in one or more of the following tools is required: Tableau Software, IBM i2 Analyst Notebook, ESRI ArcGIS Pro
- Experience with the following types of Database: SQL Server, Oracle, PostgreSQL, MySQL
- Programming and/or scripting (Python, R, Java)
- Background in Law Enforcement, Data Science, Investigations, Data Analysis, Computer Information Systems, or Statistics
- Industry analytics/business intelligence knowledge including current industry trends, challenges, and data quality approaches
- Deep understanding of database, ETL, and analytics tools and concepts
- Must be able to work independently and prioritize work effectively, as well as to function as an effective team member in a local and virtual team development environment
- Strong analytical and problem-solving skills with an unsurpassed attention to detail
- Excellent communication (written and verbal) skills
- Experience supporting federal agencies
This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$72,700 - $149,200
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.