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Afternoon Data Analyst R Programming Jobs in McAllen, TX

Proficiency in programming languages like Python, R, or MATLAB for data manipulation and analysis. Expertise in using data visualization tools such as Tableau, Power BI, or D3.js. Strong ...

Bachelor's degree in Business, Finance, Economics, Data Analytics, Information Systems, Statistics, Engineering, or a related field. * 3-7 years of experience in analytics, reporting, business ...

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 ...

Data Platform Engineer (26-27)

Weslaco, TX · Remote

$92.50K - $111.10K/yr

The Data Platform Engineer builds and operates IDEA's data infrastructure on Snowflake, enabling ... Partner with Analytics Engineering to ensure ingestion patterns support downstream transformation ...

Data Platform Engineer (26-27)

Weslaco, TX · On-site

$92.50K - $111.10K/yr

The Data Platform Engineer builds and operates IDEA's data infrastructure on Snowflake, enabling ... Partner with Analytics Engineering to ensure ingestion patterns support downstream transformation ...

Data Platform Engineer (26-27)

Weslaco, TX · Remote

$92.50K - $111.10K/yr

The Data Platform Engineer builds and operates IDEA's data infrastructure on Snowflake, enabling ... Partner with Analytics Engineering to ensure ingestion patterns support downstream transformation ...

Programmer Analyst

Pharr, TX · On-site

$48K/yr

As you engage with complex data systems and develop creative applications, you'll experience a fast ... Familiarity with various computer programming languages, web servers, database server platforms ...

Programmer Analyst

Pharr, TX · On-site

$48K/yr

As you engage with complex data systems and develop creative applications, you'll experience a fast ... Familiarity with various computer programming languages, web servers, database server platforms ...

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

Programmer Analyst

Pharr, TX · On-site

$48K/yr

As you engage with complex data systems and develop creative applications, you'll experience a fast ... Familiarity with various computer programming languages, web servers, database server platforms ...

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Afternoon Data Analyst R Programming information

See McAllen, TX salary details

$32.3K

$78.5K

$129.2K

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

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in McAllen, TX is $78,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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

Procurement Data Analyst

Xylem

Chihuahua, TX • On-site

Full-time

Posted 29 days ago


Xylem rating

7.3

Company rating: 7.3 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

298th of 511 rated manufacturers


Job description

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.

Job Summary:
The Senior Data Analyst is an expert in the field of data who leverages their extensive experience to lead and execute complex data analysis projects. They are instrumental in designing sophisticated data models and analytics that inform strategic business decisions. With a mentorship role, they guide junior analysts through intricate data tasks and ensure the accuracy and reliability of data interpretations. Their collaborative efforts with various departments help to align data initiatives with organizational goals. The Senior Data Analyst's ability to distill vast datasets into actionable insights makes them a valuable asset in any data-driven enterprise.
Responsibilities:
Data Analysis
Conduct data analysis to identify trends and insights
Develop and maintain data models
Create dashboards and reports to communicate findings
Collaborate with cross-functional teams to gather and analyze data for business decisions
Data Management
Oversee data collection, cleaning, and validation processes
Ensure data accuracy and integrity
Develop and maintain data governance policies
Identify and implement data quality improvements
Data Visualization
Design and develop visualizations for data interpretation
Utilize various tools and techniques to present data in a user-friendly and impactful manner
Continuously improve and innovate data visualization techniques
Data Strategy and Planning
Collaborate with stakeholders to understand business needs and objectives
Develop data strategies to support business goals
Identify and recommend new data sources and technologies
Monitor and evaluate data processes and systems for efficiency and effectiveness
Project Management
Lead data projects from conception to completion
Create project plans, timelines, and budgets
Monitor and report project progress and risks
Coordinate with team members to ensure project success
High Impact Behaviors:
Continuous Professional Development: Professionals should be committed to lifelong learning, seeking out opportunities for self-improvement, and staying abreast of industry trends and best practices.
Collaboration and Teamwork: Effective professionals understand the value of collaboration. They work well with others, contribute to team goals, and understand that diverse perspectives can lead to better solutions.
Results-Driven Performance: High-performing professionals focus on delivering results. They set high standards for their own performance and are committed to achieving objectives efficiently and effectively.
Qualifications:
A bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or a related field with at least 4 years experience or equivalent work experience that provides exposure to fundamental theories, principles, and concepts.
Extensive experience in data analysis, statistical modeling, and machine learning.
Proficiency in programming languages like Python, R, or MATLAB for data manipulation and analysis.
Expertise in using data visualization tools such as Tableau, Power BI, or D3.js.
Strong understanding of engineering principles and processes.
Project management skills to lead complex data initiatives.
Ability to communicate effectively with technical and non-technical stakeholders.
Problem-solving mindset to tackle intricate engineering challenges using data-driven approaches.
Continuous learning to stay updated with emerging technologies and methodologies in data science.

Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.


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