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Afternoon Data Analyst R Programming Jobs in Conroe, TX

CEDENT

Azure Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Perform root cause analysis on external and internal processes and data to identify opportunity for ... Expert proficiency in at least one of these programming languages: Python, NoSQL, SQL, R, and ...

TestingXperts

Big Data Analytics Process

Houston, TX · On-site

... R, Python, Hadoop etc.) Nice to have skills (Top 2 only) A demonstrated ability to solve ... D. in Mathematics, Statistics, Computer Science, Operations Research, Engineering Science. Top 3 ...

Kpler

Refineries Analyst

Houston, TX

... analytics and is looking for a technically sharp, data-literate Refineries Analyst to join its ... Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refineries ...

Kpler

Refineries Analyst

Houston, TX

... analytics and is looking for a technically sharp, data-literate Refineries Analyst to join its ... Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refineries ...

CEDENT

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

... analysis on external and internal processes and data to identify opportunity for improvement ... programming languages: Python, NoSQL, SQL, R, and competent in source code management Build ...

Cedent

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

Perform root cause analysis on external and internal processes and data to identify opportunity for ... Expert proficiency in at least one of these programming languages: Python, NoSQL, SQL, R, and ...

Soni Resources

Data Engineer/Data Scientist

Houston, TX · On-site

$100/hr

... analytics, or data science. * Strong programming skills (Python, SQL, R), with experience in big data tools (Spark, Airflow) and BI platforms (Power BI, Tableau, Looker). * Advanced degree in ...

VC5 Consulting

Senior Power BI / Data Analyst

Houston, TX · On-site

$82K - $103K/yr

Strong background acting as a Database Administrator (DBA) or Data Engineer with experience in Relational Database Management Systems (RDBMS) such as Microsoft SQL Server, Oracle, or PostgreSQL.

Deloitte

Manager - Data Science / Data Lake

Houston, TX · On-site

... R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon ...

Skanska USA

Data Analytics Engineer

Houston, TX

$109K - $131K/yr

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Conroe, TX

Afternoon Data Analyst R Programming information

See Conroe, TX salary details

$29.1K

$70.8K

$116.4K

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

As of Jul 14, 2026, the average yearly pay for afternoon data analyst r programming in Conroe, TX is $70,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $83,000.00 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.
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Conroe, TX? For Afternoon Data Analyst R Programming jobs in Conroe, TX, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Conroe, TX look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Conroe, TX are:
What cities near Conroe, TX are hiring for Afternoon Data Analyst R Programming jobs? Cities near Conroe, TX with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Conroe, TX as of July 2026, with employment types broken down into 1% As Needed, 55% Full Time, 36% Part Time, 1% Temporary, 2% Contract, and 5% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $70,751 per year, or $34 per hour.
Azure Data Engineer

Azure Data Engineer

CEDENT

Houston, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 10 days ago

Job description

Job Title:- Azure Data Engineer
Location:- Spring Texas (On-Site)
Need Only Local to Houston, TX
Experience;- 10+ Years
Responsibilities
  • Perform ETL, ELT operations and administration using modern tools, programming languages and systems securely and in accordance with enterprise data standards
  • Assemble, model, transform large complex sets of data that meet non-functional and functional business requirements into a format that can be analyzed
  • Automate data processing of data from multiple data sources
  • Develop, deploy and version control code for data consumption, reuse for APIs
  • Employ machine learning techniques to create and sustain data structures
  • Perform root cause analysis on external and internal processes and data to identify opportunity for improvement, resolve data quality issues
  • Lead data-related workshops with stakeholders to capture data requirements and acceptance criteria

Skills and Qualifications
We are looking for someone who has technical depth and broad tool experience related to data engineering and has the following required qualifications:
  • Minimum bachelor’s degree in: Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience
  • 5 or more years performing duties related to data engineering
  • Advance English level
  • Expert proficiency in at least one of these programming languages: Python, NoSQL, SQL, R, and competent in source code management
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Create data validation methods and data analysis tools

Preferred Qualifications / Experience
  • Excellent problem-solving skills and ability to learn through scattered resources
  • Automate routine tasks via scripts, code
  • Capacity to successfully manage a pipeline of duties with minimal supervision
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Modify existing reports, extracts, dashboards, and cubes as necessary
  • Commitment to operations integrity and ability to hold self and others accountable for results

Required Proficiency:
  • Advanced
  • SQL
  • Snowflake
  • Tamr
  • Python
  • GitHub
  • Intermediate
  • Databricks
  • Airflow
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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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