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Assistant R Statistical Programmer Jobs in Alaska

Data Analyst

Anchorage, AK ยท On-site

$1.5K - $2.0K/yr

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 ...

Under general supervision, assist with collecting, compiling, and analyzing data from the physical ... location data, statistical documentation, engineering studies and surveys, and construction.

Under general supervision, assist with collecting, compiling, and analyzing data from the physical ... location data, statistical documentation, engineering studies and surveys, and construction.

Familiarity with statistical analysis software such as R or Python. * Knowledge of business process ... Ensure data accuracy and integrity by performing regular audits and validation checks. * Assist in ...

Familiarity with statistical analysis software such as R or Python. * Knowledge of business process ... Ensure data accuracy and integrity by performing regular audits and validation checks. * Assist in ...

BVT Analyst

Anchorage, AK ยท On-site

$10K - $200K/yr

Familiarity with statistical analysis software such as R or Python. * Knowledge of business process ... Ensure data accuracy and integrity by performing regular audits and validation checks. * Assist in ...

Familiarity with statistical analysis software such as R or Python. * Knowledge of business process ... Ensure data accuracy and integrity by performing regular audits and validation checks. * Assist in ...

Familiarity with statistical analysis software such as R or Python. * Knowledge of business process ... Ensure data accuracy and integrity by performing regular audits and validation checks. * Assist in ...

... assist in invoice review and rate analysis; maintain R&R tracking; support CPIR and asset ... Mid-level engineer or analyst experienced in utilities, GIS, or energy systems management.

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Assistant R Statistical Programmer information

What is the difference between Assistant R Statistical Programmer vs Data Analyst?

AspectAssistant R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentClinical research, pharmaceutical, or biotech industriesBusiness, marketing, finance, healthcare sectors
CertificationsOften requires a degree in statistics, biostatistics, or related fieldsDegree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common

While both roles involve data analysis and programming skills, the Assistant R Statistical Programmer primarily supports clinical trials and pharmaceutical research, focusing on statistical programming in R. Data Analysts work across various industries analyzing data to inform business decisions. The roles share similar educational backgrounds but differ in industry focus and specific job functions.

What are popular job titles related to Assistant R Statistical Programmer jobs in Alaska? For Assistant R Statistical Programmer jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Assistant R Statistical Programmer jobs in Alaska look for? The top searched job categories for Assistant R Statistical Programmer jobs in Alaska are:
What cities in Alaska are hiring for Assistant R Statistical Programmer jobs? Cities in Alaska with the most Assistant R Statistical Programmer job openings:
Infographic showing various Assistant R Statistical Programmer job openings in Alaska as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

$1.5K - $2.0K/yr

Full-time

Re-posted 9 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.