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Afternoon Data Analyst R Programming Jobs in Waco, TX

Data Engineer I

Waco, TX · On-site

$101K - $122K/yr

The Data Engineer I works closely with senior engineers, data analysts, and business stakeholders to deliver reliable, efficient, and well-documented data pipelines using tools such as Azure Data ...

TEST ENGINEER (FALCON TEST) At SpaceX, our commitment to reliability begins with design but is ... Experience with code based data analytics (Python, R, MATLAB, NI LabVIEW) to solve real world ...

Sr. Data Engineer

Temple, TX · Hybrid

$92K - $111K/yr

This role is ideal for a detail oriented, analytical professional with deep SQL expertise and ... a Data Engineer or in a similar role Advanced SQL expertise across DB2, Oracle, and SQL Server ...

Coordinate with data engineering team to scale and deploy models and their related data pipelines ... Perform data mining, exploration, and analysis. * Design, train, evaluate and implement machine ...

TEST ENGINEER (FALCON TEST) At SpaceX, our commitment to reliability begins with design but is ... Experience with code based data analytics (Python, R, MATLAB, NI LabVIEW) to solve real world ...

TEST ENGINEER (FALCON TEST) At SpaceX, our commitment to reliability begins with design but is ... Experience with code based data analytics (Python, R, MATLAB, NI LabVIEW) to solve real world ...

Integration & Data Movement Engineer (Enterprise Integrations & Data Flow Enablement) Mustang Cat ... Partner with data and analytics teams to ensure integration outputs align with reporting and ...

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Afternoon Data Analyst R Programming information

See Waco, TX salary details

$30.2K

$73.4K

$120.7K

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

As of Jul 2, 2026, the average yearly pay for afternoon data analyst r programming in Waco, TX is $73,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $86,100.00 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 Waco, TX? For Afternoon Data Analyst R Programming jobs in Waco, TX, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Waco, TX look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Waco, TX are:
What cities near Waco, TX are hiring for Afternoon Data Analyst R Programming jobs? Cities near Waco, TX with the most Afternoon Data Analyst R Programming job openings:
Data Engineer I

$101K - $122K/yr

Full-time

Posted 21 days ago


Texas Farm Bureau Insurance rating

7.8

Company rating: 7.8 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

163rd of 277 rated insurance


Job description

The Voice of Texas Agriculture.
Company: Texas Farm Bureau Casualty Insurance Company | Department: Project Management Office (Data Office)
The Data Engineer I position builds, monitors, and supports data pipelines that move and transform data across on-premise and cloud-based systems.
This role is ideal for a self-starter eager to learn the foundations of data engineering and contribute to data workflows that power analytics, reporting, and business operations.
The Data Engineer I works closely with senior engineers, data analysts, and business stakeholders to deliver reliable, efficient, and well-documented data pipelines using tools such as Azure Data Factory and Databricks.
MAJOR RESPONSIBILITIES AND AUTHORITY
Assist in the development and maintenance of data pipelines that extract, transform, and load (ETL/ELT) data from diverse sources into reporting and analytical environments.
Support scheduled and event-driven pipeline operations using tools such as Azure Data Factory and/or Databricks.
Participate in the testing, validation, and documentation of pipeline logic and data flows.
Monitor data jobs and assist with troubleshooting failed runs or unexpected results.
Work with data analysts and developers to understand requirements and build repeatable, scalable data ingestion processes.
Help identify opportunities for optimization and automation of routine data movement tasks.
Maintain documentation of data workflows, job logic, and transformation rules for continuity and support.
Learn and apply best practices for secure, reliable, and well-governed data delivery.
Other duties as assigned.
MINIMUM POSITION QUALIFICATIONS
Education and Experience:
At least one of the following:
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, and minimal experience in data quality analysis or a similar role.
  • Associate degree in Computer Science, Information Systems, Data Engineering, or a related field, and foundational experience in data quality analysis or a similar role.

Technical Skills:
Good experience with T-SQL for query development.
Familiarity with database platforms such as Microsoft SQL Server, PostgreSQL, Synapse, or Databricks.
Understanding of relational data modeling concepts and data warehouse standards.
Experience building views, stored procedures, and functions.
Comfortable working with large datasets and optimizing query performance.
Experience with Git, version control and basic scripting (Python preferred).
Soft Skills:
Strong problem-solving and analytical skills.
Attention to detail and commitment to data accuracy.
Ability to communicate clearly with both technical and non-technical team members.
Comfortable working collaboratively and documenting work for others.
Preferred Qualifications:
Internship or project experience in data engineering, analytics, or cloud development.
Exposure to data quality or data governance principles.
Knowledge of Microsoft Synapse, Azure SQL Database, or Data Lake is a plus.
PHYSICAL REQUIREMENTS
Use of office equipment over six (6) hours per day.
Extended periods of sitting and concentration.
Occasional bending, twisting, crouching, pulling, pushing, lifting, and moving items weighing up to 30 lbs.
WORKING CONDITIONS
Occasional long, irregular hours.
Provide after-hours problem resolution when required.
Occasional travel by auto or other public transportation.
Work to be conducted in office environment owned or leased by company.
Texas Farm Bureau is an Equal Opportunity Employer (M/F/D/V).

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