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Afternoon Data Analyst R Programming Jobs in Anchorage, AK

Data Analyst

Anchorage, AK ยท On-site

$1.5K - $2.0K/yr

Strong proficiency in R and SAS programming languages. Preferred Qualifications: * Experience in the agriculture industry or related fields. * Familiarity with advanced data analysis techniques and ...

... R programming for clinical trial analyses, data manipulation, reporting and visualization preferred Familiarity with additional programming languages and tools such as Python preferred Hands-on ...

BVT Analyst

Anchorage, AK ยท On-site

$10K - $200K/yr

Familiarity with programming languages such as Python or R for data manipulation. * Prior ... Analyze data and business processes to identify inconsistencies, risks, and areas for improvement.

ANALYST

Anchorage, AK ยท On-site

$30K - $60K/yr

Experience with statistical software such as SPSS, R, or Python. * Familiarity with qualitative research methods. Responsibilities: * Conduct comprehensive data analysis to evaluate the effectiveness ...

ANALYST

Anchorage, AK ยท On-site

$30K - $60K/yr

Experience with statistical software such as SPSS, R, or Python. * Familiarity with qualitative research methods. Responsibilities: * Conduct comprehensive data analysis to evaluate the effectiveness ...

ANALYST

Anchorage, AK ยท On-site

$30K - $60K/yr

Experience with statistical software such as SPSS, R, or Python. * Familiarity with qualitative research methods. Responsibilities: * Conduct comprehensive data analysis to evaluate the effectiveness ...

BVT Analyst

Anchorage, AK ยท On-site

$10K - $200K/yr

By leveraging data analytics and business intelligence tools, the BVT Analyst ensures that ... Familiarity with statistical analysis software such as R or Python. * Knowledge of business process ...

By leveraging data analytics and business intelligence tools, the BVT Analyst ensures that ... Familiarity with statistical analysis software such as R or Python. * Knowledge of business process ...

By leveraging data analytics and business intelligence tools, the BVT Analyst ensures that ... Familiarity with statistical analysis software such as R or Python. * Knowledge of business process ...

By leveraging data analytics and business intelligence tools, the BVT Analyst ensures that ... Familiarity with statistical analysis software such as R or Python. * Knowledge of business process ...

By leveraging data analytics and business intelligence tools, the BVT Analyst ensures that ... Familiarity with statistical analysis software such as R or Python. * Knowledge of business process ...

Professionals and Supervisors/Behavior Analyst Date Posted: 5/18/2026 Location: ITINERANT STAFF ... programming for special programs. * Participates in school-level data review meetings, transition ...

Data Architect

Anchorage, AK ยท On-site

$4.2K/wk

Azure Synapse Analytics * Azure DevOps * Building and enforcing enterprise-wide data governance frameworks (lineage, dictionaries, MDM, quality standards) * Partnering with BI Analysts and ...

Digital Analyst Internships

Anchorage, AK ยท On-site

$100K - $119K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

Analyze pressure and production/injection data. * Produce structure, production, isobaric, and ... R). Education Requirements: * Required: Bachelor's Degree from an accredited four-year university ...

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Afternoon Data Analyst R Programming information

See Anchorage, AK salary details

$34.7K

$84.5K

$139K

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

As of Jun 27, 2026, the average yearly pay for afternoon data analyst r programming in Anchorage, AK is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $99,100.00 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 Anchorage, AK? For Afternoon Data Analyst R Programming jobs in Anchorage, AK, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Anchorage, AK look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Anchorage, AK are:

$1.5K - $2.0K/yr

Full-time

Posted 26 days ago


Job description

About the Role:

The Data Analyst will play a crucial role in transforming raw agricultural data into actionable insights that drive decision-making and improve operational efficiency. This position involves analyzing complex datasets to identify trends, patterns, and anomalies that can inform strategic initiatives within the agriculture sector. The successful candidate will collaborate with cross-functional teams to ensure data integrity and accuracy, enabling the organization to leverage data for enhanced productivity and sustainability. Additionally, the Data Analyst will be responsible for creating compelling visualizations and reports that communicate findings to stakeholders at all levels. Ultimately, this role is essential for fostering a data-driven culture within the organization and supporting its mission to innovate in the agricultural industry.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Agriculture, or a related field.
  • Proven experience in data analysis and data visualization tools such as Power BI and Tableau.
  • Strong proficiency in R and SAS programming languages.

Preferred Qualifications:

  • Experience in the agriculture industry or related fields.
  • Familiarity with advanced data analysis techniques and machine learning algorithms.
  • Knowledge of database management systems and SQL.

Responsibilities:

  • Collect, clean, and preprocess agricultural data from various sources to ensure high-quality datasets.
  • Utilize statistical tools and programming languages such as R and SAS to perform data analysis and generate insights.
  • Create and maintain interactive dashboards and visualizations using Power BI and Tableau to present data findings to stakeholders.
  • Collaborate with agronomists and other team members to understand data requirements and provide analytical support for ongoing projects.
  • Conduct regular data audits and implement data cleansing processes to maintain data accuracy and reliability.

Skills:

The required skills in data cleaning and data extraction are essential for ensuring that the datasets used for analysis are accurate and reliable. Proficiency in pivot tables and data visualization tools like Power BI and Tableau allows the Data Analyst to create insightful reports that effectively communicate findings to stakeholders. The use of R and SAS programming languages is critical for performing complex statistical analyses and modeling. Daily work will involve collaborating with team members to understand their data needs, which requires strong communication and problem-solving skills. Preferred skills, such as familiarity with machine learning algorithms, can enhance the analyst's ability to derive deeper insights and contribute to innovative projects.