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Data Analyst Data Science Jobs in Alaska (NOW HIRING)

Data Analyst

Kodiak, AK ยท On-site

$22 - $25/hr

Associates or Bachelor's degree in Mathematics, Computer Science, Statistics, Business, or related topic highly desired. Experience: Minimum 2 years' experience as a data analyst or a similar ...

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 ...

Overview CTG is seeking to fill a Data Analyst III position for our client in Anchorage, AK. Location: Anchorage, AK Duration: 12 months Duties: * Provide quality data to businesses and functions to ...

AI Data Scientist Sr.

Minto, AK ยท On-site

$120K - $160K/yr

To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share ...

AI Data Scientist Sr.

Minto, AK ยท On-site

$120K - $160K/yr

To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share ...

Data Engineer AI

Minto, AK ยท On-site +1

$118K - $142K/yr

Engineering for Data Science: Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring Data Scientists have immediate access to clean, versioned, and ...

Maintains data storage and access by designing physical databases. Database Analyst Job Duties: * Confirms project requirements by studying user requirements; conferring with others on project team.

Maintains data storage and access by designing physical databases. Database Analyst Job Duties: * Confirms project requirements by studying user requirements; conferring with others on project team.

Maintains data storage and access by designing physical databases. Database Analyst Job Duties: * Confirms project requirements by studying user requirements; conferring with others on project team.

$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 ...

Maintains data storage and access by designing physical databases. Database Analyst Job Duties: * Confirms project requirements by studying user requirements; conferring with others on project team.

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Showing results 1-20

Data Analyst Data Science information

See Alaska salary details

$14

$39

$68

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

As of Jul 30, 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.

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 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 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 the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

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.
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:
Infographic showing various Data Analyst Data Science job openings in Alaska as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $83,129 per year, or $40 per hour.

$22 - $25/hr

Other

Posted 15 days ago


Job description

POSITION SUMMARY:
The Data Analyst position is responsible for collecting, processing, validating, and performing statistical analyses of data. They will work with management, leadership, Quality Department and/or the EHR Specialist (ESA) to determine and prioritize business and information needs. The Data Analyst will then acquire data from primary or secondary data sources and interpret that data, providing reports to management and leadership. Best practices will be employed to analyze large amounts of data while maintaining intense attention to detail and data integrity. The overarching role of the Data Analyst is to review data from primary or secondary data sources, interpret and analyze the data to help improve overall quality while maintaining strong attention to detail to share/present the data to management and leadership. The Data Analyst supports clinical, operational, financial, regulatory, and quality improvement initiatives across the organization through accurate data analysis and reporting. This role reports to the Quality Director, or QA Manager when the Quality Director is unavailable.
ESSENTIAL JOB FUNCTIONS:
Acts as a member of the KCHC Healthcare Team in the provision of health services to individuals, families, and/or their communities. Works collaboratively with other members of the KCHC Healthcare Team to accomplish shared goals within and across settings to achieve coordinated, high-quality care.
1. Gather and interpret data, analyzing results using statistical techniques and provide ongoing reports.
2. Import, clean, transform, validate or model data with the purpose of understanding or making conclusions from the data for decision making purposes as well as improving data quality.
3. Provide concise data reports and clear data visualizations for management through charts, graphs, or tables and identify reporting improvements.
4. Knowledge and familiarization with Microsoft Office programs to effectively produce reports.
5. Analyze and interpret results using standard statistical tools and techniques.
6. Assist in planning, designing, implementing, and maintaining data requirements for clinic quality improvement programs, compliance programs or research projects.
7. Monitor established core measures, quality, and productivity reports. Present the data as necessary.
8. Review supporting programs that focus on improved outcomes of patient care, patient safety, healthcare delivery systems, EHR, patient billing, quality improvement, patient population, compliance, and grant reporting.
9. Collaborate with clinical, operational, billing, and leadership teams to improve workflows, documentation practices, and data quality. 10. Responsible for data generation and validation for reporting to Federal/State and private organizations as needed, such as grant reporting, Medicaid/Medicare reporting and insurance reporting. 11. Manage data in KCHC programs such as Epic, Acuere, Crystal Reports, and Business Objects.
12. Utilize reporting databases such as HRSA's EHB, UDS and NCQA PCMH.
13. Compile data for Provider evaluations.
14. Oversee Provider Peer Review processes including chart selection and data tracking.
15. Responsible for special requests from leadership and supporting staff, as necessary.
16. Receive and process all incident and employee injury reports, including tracking responses and outcomes.
17. Responsible for the Patient Satisfaction Survey program including developing surveys, data tracking, and reporting.
18. Assist Medical Director with Care Team/QI meetings, follow-up, and reporting.
19. Responsible for presenting data at QI meetings, such as, but not limited to, Care Team.
20. Coordinates with clinical staff for on-going clinical information system evaluation including user accuracy, data integrity, and system reliability.
21. Responsible for taking minutes/notes in formal meetings if Data Coordinator/Administrative Assistant cannot attend.
22. Communicate tasks with the Quality Department via Monday.com for tracking.
23. Provides on-going data auditing, especially for UDS, grant submissions, and other programs that require accurate data submissions.
24. Perform root cause analysis and data validation to identify reporting discrepancies and recommend corrective actions.
25. Other related duties as assigned by the Quality Manager and Leadership.
ESSENTIAL JOB QUALIFICATIONS
Education: High school diploma/GED required. Associates or Bachelor's degree in Mathematics, Computer Science, Statistics, Business, or related topic highly desired.
Experience: Minimum 2 years' experience as a data analyst or a similar position required. Experience in a healthcare setting using an EHR and medical billing system highly desired.
Licensure/Certification: None required.
Other Qualifications:
Communication:
โ€ข Ability to effectively communicate, verbally and in writing, with all levels of staff personnel.
โ€ข Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Collaboration:
โ€ข Team-oriented and able to work collaboratively with staff.
โ€ข Strong problem-solving and time-management skills.
โ€ข Ability to work independently in a fast-paced, medical office environment with frequent interruptions, public contact, and occasional crisis situations.
โ€ข Ability to maintain strict confidentiality with sensitive medical information and foster an ethical work environment.
โ€ข Ability and willingness to carry out responsibilities in accordance with the organization's policies and applicable laws.
Cultural Competence:
โ€ข Demonstrates complete understanding and responds effectively with sensitivity to special populations served by KCHC. Special populations include, but are not limited to, those defined by race, ethnicity, language, age, sex, sexual orientation, economic standing, disability status, migrant, homelessness, seasonal workers, and the uninsured.
Attendance: Regular attendance and punctuality is expected and required.
English Language: Must be able to read, write, and speak English.