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Data Analytics Jobs in Alaska (NOW HIRING)

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.

Data Analyst

Kodiak, AK · On-site

$22 - $25/hr

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 ...

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 ...

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 ...

BVT Analyst

Anchorage, AK · On-site

$10K - $200K/yr

By leveraging data analytics and business intelligence tools, the BVT Analyst ensures that strategic initiatives are data-driven and effectively implemented. Ultimately, this role contributes to ...

By leveraging data analytics and business intelligence tools, the BVT Analyst ensures that strategic initiatives are data-driven and effectively implemented. Ultimately, this role contributes to ...

By leveraging data analytics and business intelligence tools, the BVT Analyst ensures that strategic initiatives are data-driven and effectively implemented. Ultimately, this role contributes to ...

By leveraging data analytics and business intelligence tools, the BVT Analyst ensures that strategic initiatives are data-driven and effectively implemented. Ultimately, this role contributes to ...

By leveraging data analytics and business intelligence tools, the BVT Analyst ensures that strategic initiatives are data-driven and effectively implemented. Ultimately, this role contributes to ...

$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 ...

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Data Analytics information

See Alaska salary details

$26

$58

$101

How much do data analytics jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data analytics in Alaska is $58.96, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $66.78 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Alaska?

The most popular types of Data Analytics jobs in Alaska are:

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

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

What cities in Alaska are hiring for Data Analytics jobs?

Cities in Alaska with the most Data Analytics job openings:

Infographic showing various Data Analytics 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 $122,635 per year, or $59 per hour.

Mgr, Business Analysis, Workforce Initiatives, Data & Analytics

CVS Health

Homer, AK

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,345 frontline employees who took The Breakroom Quiz

91st of 113 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position SummaryCVS Health is seeking a strategic, data-driven Manager, Business Analysis, Workforce Initiatives, Data & Analytics to lead workforce intelligence and analytics initiatives that support enterprise workforce planning, talent pipeline development, program effectiveness, and business decision making.This role is responsible for transforming Workforce Initiatives data into actionable business intelligence that improves participant outcomes, strengthens talent pipelines, drives operational efficiency, and informs enterprise workforce strategy. Sitting at the intersection of data analytics, business strategy, workforce planning, technology, and operational excellence, the Manager will convert complex data into meaningful insights that influence talent, operational, and organizational outcomes.The successful candidate will serve as the business owner for the Workforce Initiatives data ecosystem, ensuring data quality, governance, reporting consistency, and scalability across key platforms including Workday, Applicant Tracking Systems (ATS), LearningHub, Sophia, and other enterprise technologies.As a strategic partner to Workforce Initiatives leadership, Human Resources, Talent Acquisition, Operations, Finance, Information Technology, and external stakeholders, this leader will identify trends, uncover opportunities, measure program effectiveness, and provide analytics-driven recommendations that influence business strategy. The role will also drive the responsible adoption of AI-enabled analytics, automation, and reporting solutions that improve decision making, reduce manual effort, and enhance the stakeholder experience.Key Responsibilities & DutiesWorkforce Analytics Strategy & Business Intelligence (25%)
  • Lead the development and execution of workforce analytics and business intelligence strategies that support Workforce Initiatives programs and enterprise business objectives.
  • Translate complex workforce, operational, participant, and stakeholder data into meaningful insights and actionable recommendations.
  • Develop executive dashboards, scorecards, and key performance indicators that measure program success, workforce outcomes, community impact, and operational effectiveness.
  • Provide strategic guidance to leadership through data storytelling, workforce trend analysis, and performance reporting.
  • Identify opportunities to improve participant outcomes, strengthen talent pipelines, increase hiring conversion rates, and enhance organizational effectiveness through data-driven decision making.
  • Measure and report on Workforce Initiatives outcomes, including participant engagement, hiring conversions, workforce development program effectiveness, talent pipeline performance, apprenticeship outcomes, and community impact metrics.
Enterprise Data Management & System Integration (25%)
  • Serve as the business owner for the Workforce Initiatives data ecosystem and enterprise workforce reporting environment.
  • Lead enterprise data enhancement initiatives across Workday, Applicant Tracking Systems (ATS), LearningHub, Sophia, and related workforce technologies.
  • Establish and maintain data governance standards to ensure consistency, integrity, accuracy, security, and reporting reliability.
  • Partner with Human Resources, Information Technology, Operations, and external vendors to improve integrations and streamline data flows.
  • Develop scalable data architecture solutions that support evolving reporting and analytical needs.
  • Drive continuous improvement initiatives that enhance accessibility, usability, and scalability of workforce data.
  • Partner with technology teams to evaluate, implement, and optimize new platforms, integrations, and reporting capabilities that support business growth and operational excellence.
Advanced Analytics & Predictive Modeling (15%)
  • Develop and maintain the Workforce Initiatives Data Vault to support longitudinal workforce analysis, trend forecasting, and predictive analytics.
  • Utilize advanced analytical techniques to identify workforce risks, opportunities, and emerging trends.
  • Create models that evaluate workforce development program effectiveness, talent pipeline health, partner performance, hiring conversion rates, retention trends, and overall business impact.
  • Develop forecasting models that support workforce demand planning, participant conversion projections, capacity planning, and program investment decisions.
  • Support strategic workforce planning initiatives through predictive insights and scenario-based analysis.
  • Integrate internal and external data sources to improve forecasting accuracy and decision-making capabilities.
Reporting, Visualization & Performance Management (15%)
  • Design, develop, and maintain enterprise reporting frameworks using Power BI, Tableau, SQL, and other business intelligence tools.
  • Create automated dashboards that provide real-time visibility into workforce initiatives, performance metrics, participant outcomes, and operational trends.
  • Standardize reporting methodologies and performance measurement frameworks across programs to increase consistency and transparency.
  • Monitor performance indicators and workforce outcomes while providing recommendations for operational improvements and strategic adjustments.
  • Ensure reporting solutions meet business requirements while maintaining scalability, sustainability, and ease of use.
Automation, Process Optimization & Innovation (10%)
  • Lead automation initiatives that reduce manual effort, eliminate redundant processes, and improve operational efficiency.
  • Identify opportunities to leverage emerging technologies, AI-enabled tools, business intelligence solutions, and workflow automation capabilities.
  • Develop exception reporting and monitoring capabilities that proactively identify data quality concerns and operational risks.
  • Partner with stakeholders to redesign processes that reduce administrative burden and create measurable efficiencies.
  • Foster a culture of innovation through continuous improvement methodologies, automation, and technology adoption.
Stakeholder Partnership & Team Leadership (10%)
  • Serve as a trusted advisor to Workforce Initiatives leadership and enterprise stakeholders.
  • Build strong partnerships across Human Resources, Talent Acquisition, Learning & Development, Operations, Finance, Information Technology, and external partners.
  • Lead cross-functional projects from concept through implementation, ensuring delivery of measurable business value and sustainable outcomes.
  • Present findings, recommendations, and strategic insights to leadership and executive audiences.
  • Provide coaching, mentoring, and development support to team members while fostering a culture of accountability, curiosity, innovation, and continuous improvement.
Required Qualifications
  • Bachelor's degree in business Analytics, Data Science, Information Systems, Statistics, Economics, Finance, Computer Science, Mathematics, or a related field.
  • 5+ years of experience in Business Analytics, Workforce Analytics, Business Intelligence, Data Strategy, or related disciplines.
  • Demonstrated experience leading enterprise data initiatives, business intelligence projects, and reporting transformation efforts.
  • Advanced experience utilizing Power BI, Tableau, or related visualization and reporting platforms.
  • Strong SQL expertise, including data extraction, transformation, validation, and data management.
  • Experience working with large datasets, data governance frameworks, and data quality programs.
  • Proven ability to communicate complex analytical findings to both technical and non-technical audiences.
  • Demonstrated experience translating business challenges into data-driven solutions and influencing decisions across multiple stakeholder groups.
  • Strong project management, stakeholder engagement, organizational, and problem-solving skills.
  • Demonstrated ability to present complex data and strategic recommendations to senior leadership and executive audiences.
  • Experience leveraging analytics to support strategic business decisions, workforce planning, and operational improvements.
Preferred Qualifications
  • Experience within workforce analytics, talent management, workforce development, healthcare, retail, or large enterprise environments.
  • Knowledge of Workday, Applicant Tracking Systems (ATS), Learning Management Systems (LMS), workforce planning technologies, and CRM platforms.
  • Experience building predictive models, forecasting solutions, and advanced workforce analytics frameworks.
  • Understanding of data warehousing, ETL processes, data architecture, master data management, and cloud-based analytics platforms.
  • Experience with automation technologies such as Power Automate, Alteryx, Python, R, AI-enabled analytics solutions, or emerging workforce technology tools.
  • Lean Six Sigma, Agile, PMP, Certified Analytics Professional (CAP), or related certifications preferred.


Education

Bachelors Degree

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$54,300.00 - $119,340.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/30/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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