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Data Analyst Data Science Jobs in Alaska (NOW HIRING)

Stryker

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ...

Stryker

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ...

Stryker

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ...

Pacs

$100/hr

We're growing fast and are looking for a skilled Data / Business Intelligence Analyst to join our team. We need someone who can build independently, take ownership of data infrastructure, and turn ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Anchorage, AK · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Alaska

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How much do data analyst data science jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for data analyst data science in Alaska is $39.97, according to ZipRecruiter salary data. Most workers in this role earn between $28.80 and $48.46 per hour, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Alaska?

For Data Analyst Data Science jobs in Alaska, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in Alaska look for?

The top searched job categories for Data Analyst Data Science jobs in Alaska are:

What cities in Alaska are hiring for Data Analyst Data Science jobs?

Cities in Alaska with the most Data Analyst Data Science job openings:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Alaska as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,129 per year, or $40 per hour.

Business Analyst | Anchorage Alaska

Anchorage, AK • On-site

ARC Group
11 - 50 employees
Learn more about ARC Groupexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Business Analyst
Anchorage, Alaska 99518
ARC Group is urgently seeking an experienced Business Analyst / Data Analyst to support business process documentation, data quality initiatives, and project delivery. This role will collaborate across functional teams, manage assigned project tasks with minimal supervision, and help drive process improvements throughout the organization. Our client is a Fortune 500 company looking for someone to start a 6-month contract with the ability to extend or be brought on permanently.
Key Responsibilities
  • Research, define, and document business processes with a strong focus on data quality and process standardization.
  • Create, update, and maintain user guides and training materials for business systems and related workflows.
  • Assist end users with training and provide guidance to improve system and process understanding.
  • Partner with functional and strategic teams to implement and maintain a unified approach to processes and system usage.
  • Independently manage work assignments and project-related tasks, delivering high-quality results under minimal supervision.
  • Execute small to medium-sized projects, participating in all phases and identifying risks, issues, and opportunities for improvement.
  • Analyze business processes, evaluate alternative solutions, assess feasibility, and recommend enhanced or optimized workflows.
  • Contribute to change initiatives by supporting requirement gathering, testing, documentation, and implementation activities.
  • Gather and interpret data using established tools and techniques; prepare concise summaries, reports, and recommendations for stakeholders.
  • Maintain current knowledge of emerging tools, technologies, and methodologies relevant to business and data analysis.

Required Skills
  • 2 or more years of experience in business analysis, data quality, training, and/or project management.
  • Bachelors degree in Computer Science, Business Information, or a related field
  • Experience with business and systems analysis.
  • Strong ability to document business processes, workflows, and requirements.
  • Ability to learn quickly and support users with system training.
  • Proven experience creating clear and effective user documentation.
  • Proficiency with Microsoft Office and related applications.