ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Alaska

Photon

Data Analyst | Onshore

Newtok, AK · On-site

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.

Pacs

$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 ...

WFNQASD5

ANALYST

Anchorage, AK · 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 ...

WFNQASD5

ANALYST

Anchorage, AK · 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 ...

WFNQASD5

BVT Analyst

Anchorage, AK · 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 ...

ProSidian Consulting

... 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.

WFNQASD5

BVT Analyst_09/07/2025

Anchorage, AK · On-site

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 ...

WFNQASD5

BVT Analyst_09/09/2025

Anchorage, AK · On-site

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 ...

WFNQASD5

BVT Analyst_09/08/2025

Anchorage, AK · On-site

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 ...

WFNQASD5

BVT Analyst_09/10/2025

Anchorage, AK · On-site

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 ...

EXOS

Business Intelligence Analyst

Anchorage, AK · On-site

... 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 ...

ProSidian Consulting

Perform advanced engineering, economic, and regulatory analyses; review ACURRP, FCU, and R&R ... data analytic tools, and Visio, and the ability to quickly learn other tools, as necessary.

Tetra Tech

Data Coordinator

Anchorage, AK

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

All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Alaska

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?

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 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:
Afternoon Data Analyst R Programming jobs near you
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 | Onshore

Photon

Newtok, AK • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

Key Responsibilities 

  • Work closely with the existing analyst to enhance and stabilize data pipelines feeding the Snowflake data warehouse. 
  • Ingest and reconcile data from multiple dental clinic EMRs, Sage ERP/Finance system, and other operational sources. 
  • Design and publish Power BI dashboards for: 
  • Revenue cycle management (R30/60/90 aging, collections, forecasts) 
  • Clinic-level and regional performance metrics 
  • Financial vs clinical KPI alignment 
  • Partner with the CFO and finance team to validate metrics and ensure accuracy of financial reporting. 
  • Implement data quality checks, documentation, and version control for reports and SQL queries. 
  • Recommend improvements to data architecture and help shape the longer-term data strategy. 

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. 
  • Power BI - DAX, data modeling, dashboard design, publishing. 
  • SQL and Python (preferred) for data transformation. 
  • Integrating financial systems (e.g., Sage, QuickBooks, NetSuite) with data warehouses. 
  • Working with healthcare or multi-location business data (nice to have: EMR data familiarity). 
  • Strong analytical mindset with ability to interpret financial metrics, AR aging, and revenue cycle KPIs. 
  • Excellent communication and collaboration skills with non-technical business users. 

Self-starter, comfortable in fast-paced PE-backed environments. 
Compensation, Benefits and Duration

Minimum Compensation: USD 48,000
Maximum Compensation: USD 168,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

Apply