1

Afternoon Data Analyst R Programming Jobs in Alaska

... R, PL/SQL, Aqua Data, Crystal Reports or SQL Reporting Services. Additional Qualifications for Data Analyst II: Meets all requirements of Data Analyst I in addition to the following: 1. Two (2) years ...

Required Skills & Experience * 8+ years of hands-on experience in data analytics or engineering . * Proven experience with: * Snowflake data warehouse - schema design, SQL, data pipeline optimization.

$100/hr

Stay current with best practices in data engineering, analytics, and the Microsoft Fabric ecosystem. * Write Python scripts and Jupyter notebooks for data extraction, transformation, and automation ...

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

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

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 ...

... R tracking; support CPIR and asset verification; prepare technical documentation; ensure data ... Mid-level engineer or analyst experienced in utilities, GIS, or energy systems management.

Partner with IT, data engineering, and security to ensure data access and use follow established ... Proficiency in SQL and at least one analytics language (Python or R), plus BI tools (e.g., Power BI ...

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 ...

... Python or R for data manipulation and visualization is a plus * Strong problem solving and ... analytical skills resulting in pragmatic business solutions * Strong work ethics and preference for ...

Our workleveragescutting-edgetechnologies, advanced analytics, and theexpertiseof world-class ... Familiarity with scientific scripting or programming languages such as Python or R. * Familiarity ...

next page

Showing results 1-20

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 the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 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 Alaska?

The most popular types of Data Analyst R Programming jobs in Alaska are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Alaska?

For Afternoon Data Analyst R Programming jobs in Alaska, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Alaska look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Alaska are:

What cities in Alaska are hiring for Afternoon Data Analyst R Programming jobs?

Cities in Alaska with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Alaska as of June 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Temporary. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Analyst I, II

Anchorage, AK • On-site


Southcentral Foundation
Health Care and Social Assistance • 1 - 5K employees

7.4

Company rating: 7.4 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

271st of 894 rated healthcare providers

People enjoy working here

Good employer

Recommended by students


Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Data Analyst I
Hiring Range $67,080.00 to $89,433.07


Data Analyst II
Hiring Range $76,793.60 to $102,391.47

Summary of Job Responsibilities:

The Southcentral Foundation (SCF) Data Analyst is responsible for transforming data to actionable information through data mining, analysis, and statistical reporting of data to support operations, research, and regulatory requirements using structured query language (SQL). May also be responsible for user training/support, application support and automation of business processes.

Qualifications:

SCF programs are established to serve a primary population comprised of Alaska Native people who are affiliated with Cook Inlet Region, Inc. (CIRI) and Alaska Native and American Indian people within SCF’s geographical service area. Employees should have a thorough understanding of the cultures and the needs of this population. Such knowledge is critical to ensure the achievement of SCF’s vision of a Native Community that enjoys physical, mental, emotional, and spiritual wellness, and mission of working together with the Native Community to achieve wellness through health and related services:

1. Bachelor’s degree in information management, statistics, finance and/or healthcare related field; or combination of equivalent training/education and experience.

2. Two years' experience in producing data visualizations using a visualization software, data mining, extraction, analysis, and reporting using structured query language, analyzer, data and report writing tools such as MS Query Analyzer/SQL Enterprise Manager, R, PL/SQL, Aqua Data, Crystal Reports or SQL Reporting Services.

Additional Qualifications for Data Analyst II: Meets all requirements of Data Analyst I in addition to the following:

1. Two (2) years of demonstrated experience at the Data Analyst I level OR demonstrated proficiency as a Data Analyst I at SCF.

Native Preference: 

Under P.L. 93-638, as amended, the company pursues a policy of Native preference in hiring, contracting and training.  SCF Human Resources must receive certification before applicants receive preference.

Employee Health Requirements:

Compliance with our Employee Health procedure is a condition of SCF employment.  You are required to agree that you will comply with all job-related employee health screening and immunizations prior to your first day of employment.  Jobs designated as a Health Care Personnel (HCP) position, requires that you have documentation that you have completed the following immunizations prior to your first day of employment: MMR (Measles, Mumps and Rubella, Varicella (Chicken Pox), Hepatitis B, Influenza, and T-dap (Tetanus - Diphtheria - Pertussis)



What Southcentral Foundation employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom