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Hourly Data Analytics Jobs in Alaska (NOW HIRING)

Data Analyst | Onshore

Newtok, AK

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Data Analyst I Hiring Range $67,080.00 to $89,433.07 Data Analyst II Hiring Range $76,793.60 to $102,391.47 Summary of Job Responsibilities: The Southcentral Foundation (SCF) Data Analyst is ...

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

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Showing results 1-20

Hourly Data Analytics information

What is hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

What are the key skills and qualifications needed to thrive as an hourly data analyst, and why are they important?

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

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

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

Mgr, Business Analysis, Workforce Initiatives, Data & Analytics

CVS Health

Homer, AK

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,338 frontline employees who took The Breakroom Quiz

89th of 112 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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