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Data Analyst Data Science Jobs in Alaska (NOW HIRING)

WFN Team Indus US Test Client 2

Data Analyst

Anchorage, AK · On-site

$1.5K - $2.0K/yr

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 ...

Computer Task Group, Inc

Data Analyst III

Anchorage, AK · On-site

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 ...

Photon

Data Analyst | Onshore

Newtok, AK · On-site

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 ...

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Data Analyst Data Science information

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

As of Jul 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.

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:
Data Analyst Data Science jobs near you
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.

Data Analyst

WFN Team Indus US Test Client 2

Anchorage, AK • On-site

$1.5K - $2.0K/yr

Full-time

Re-posted 10 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.

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