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Afternoon Data Analyst R Programming Jobs in Nebraska

Lorven Technologies

Data Analyst

Omaha, NE · On-site

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 ...

Leidos

Data Analyst

Omaha, NE

Python, R, Business Intelligence (BI) tools, Data cleaning, transformation, and wrangling ... Strong analytical, critical thinking, and problem-solving skills. * Excellent written and verbal ...

Leidos

Data Analyst

Omaha, NE · On-site

Python, R, Business Intelligence (BI) tools, Data cleaning, transformation, and wrangling ... Strong analytical, critical thinking, and problem-solving skills. * Excellent written and verbal ...

D&G Solutions

Data Analyst - Journeyman

Bellevue, NE · On-site

They are seeking a Data Analyst to build and maintain data systems, automate monitoring processes ... Python, R, Business Intelligence tools and data cleaning and wrangling. • Proficient in the ...

New

D&G Support Services, LLC

Data Analyst - Journeyman

NE · On-site

Data Analyst - Journeyman On Site | Offutt AFB Bellevue Nebraska | TS/SCI Required Why This Role ... Python, R, Business Intelligence tools and data cleaning and wrangling. * Proficient in the ...

New

Varsity Tutors

Data Science Tutor

Lincoln, NE · Remote

$18 - $40/hr

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 ...

Varsity Tutors

Data Science Tutor

Omaha, NE · Remote

$18 - $40/hr

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 ...

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Afternoon Data Analyst R Programming information

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

Data Analyst

Lorven Technologies

Omaha, NE • On-site

Full-time

Posted 11 days ago

Job description

Our client is looking Data Analyst for Long term project in Omaha, NE (Onsite) Below is the detail requirement.
Job Title: Data Analyst
Location: Omaha, NE (Onsite)
Job Description:
  • Senior Data Analyst responsible for leading reporting and analytics initiatives across operations, with a focus on scalable reporting, operational insights, and data-driven decision-making.
  • Design and build end-to-end reporting solutions, including dashboards, recurring reports, and ad-hoc analysis aligned with business requirements.
  • Partner with cross-functional stakeholders (Operations, DQAS, OPCC, Technology teams) to define reporting requirements, KPIs, and success metrics.
  • Develop, maintain, and optimize data models and data pipelines to support accurate and reliable reporting solutions.
  • Analyze large and complex datasets to identify trends, anomalies, performance gaps, and opportunities for operational improvement.
  • Own data quality validation processes and ensure the accuracy, consistency, and integrity of reporting outputs.
  • Translate complex datasets and analytical findings into clear, actionable insights for business and leadership teams.
  • Drive reporting standardization and automation initiatives to improve efficiency and reduce manual effort.
  • Support incident and operational analysis through data-driven root cause investigations and reporting.
  • Collaborate closely with engineering teams on data sourcing, transformations, pipeline optimization, and performance improvements.

Required Technical Skills
  • Strong SQL expertise, including complex joins, query optimization, performance tuning, and data validation.
  • Experience with data visualization and reporting tools such as Power BI, Tableau, or similar platforms.
  • Proficiency in data analysis, data wrangling, and automation using Python and/or R.
  • Experience working with large-scale datasets, data warehouses, and cloud data platforms such as Snowflake, Azure, and Hadoop.
  • Strong understanding of ETL/ELT processes, data integration, and data modeling concepts.
  • Advanced Microsoft Excel skills for reporting, validation, and ad-hoc analysis.
  • Experience implementing and maintaining data quality frameworks and validation methodologies.

Preferred Skills
  • Experience supporting operational and real-time reporting environments.
  • Familiarity with railroad, logistics, transportation, or similar operational datasets.
  • Exposure to Azure data technologies, including ADF, Synapse Analytics, and Databricks.
  • Understanding of event-driven architectures, streaming data, and real-time analytics.

Soft Skills
  • Strong stakeholder communication skills with the ability to translate technical findings into business value and impact.
  • Ability to work effectively across business and technology teams without direct authority.
  • Strong analytical, problem-solving, and critical-thinking capabilities.
  • Self-motivated and capable of operating in fast-paced, ambiguous, and evolving environments.

Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
  • 5+ years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical roles.
  • Proven experience designing and delivering enterprise-scale reporting and analytics solutions.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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