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Remote Data Analysis Jobs in Alaska (NOW HIRING)

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... analysis to identify industry trends and business opportunities * Develop financial models and data ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... analysis to identify industry trends and business opportunities * Develop financial models and data ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... analysis to identify industry trends and business opportunities * Develop financial models and data ...

Dillon Product Manager

Anchorage, AK · Remote

$80K - $121K/yr

Perform product testing, gathering of relevant experimental data, and data analysis in support of ... Experience with ITW business and products #LI-Remote Compensation Information: $80,800 - $121,200 ...

$16.75 - $21/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

$16.25 - $20.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

Showing results 21-40

Remote Data Analysis information

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

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.
What are the most commonly searched types of Data Analysis jobs in Alaska? The most popular types of Data Analysis jobs in Alaska are:
What are popular job titles related to Remote Data Analysis jobs in Alaska? For Remote Data Analysis jobs in Alaska, the most frequently searched job titles are:
What cities in Alaska are hiring for Remote Data Analysis jobs? Cities in Alaska with the most Remote Data Analysis job openings:
Infographic showing various Remote Data Analysis job openings in Alaska as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Analyst, Financial (Future Opportunity)

Alaska Communications

Anchorage, AK • Remote

$87K - $108K/yr

Full-time

Re-posted 24 days ago


Job description

At Alaska Communications, we're committed to putting our team first, always being customer focused, having a can-do attitude, owning our results and always acting with integrity. This is what we hire for and what our team members exhibit each day. Want to make an impact with us?

We are unable to support remote international applicants or routinely sponsor work visas.

This is a Future Opportunity

This is an ongoing posting. Applications will be actively reviewed for current and future openings and filled as vacancies become available. Please note while you may not be contacted immediately, we welcome your interest and look forward to connecting as openings arise.

POSITION SUMMARY

Translate data into information critical for strategy development and execution and problem resolution by gathering information from multiple internal and external sources; developing spreadsheets and other supporting data; completing analyses, writing reports, and preparing presentations.

Translate raw data into information critical for decision support and operations management. Gather information from multiple internal and external sources, develop standard financial models for analysis and reporting, perform ad hoc analysis, financial presentations, and business intelligence development to support all areas of financial planning.

ESSENTIAL FUNCTIONS
Reasonable Accommodations Statement

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable Accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.

Examples of Job Duties
  • Work largely on projects with substantial complexity, breadth of scope, and impact to the organization. Deliver analyses that lead to understanding of complex issues and are critical to strategy development, execution, and problem resolution. Serve as a resource for standard and specialized subject matter expertise.

  • Collect data on actual financial performance, compare to budgeted performance, analyze variances, and prepare periodic reports for executive management.

  • Participate in the ongoing analysis and maintenance of financial systems. Assists with system upgrades and conversions to modern business intelligence tools (e.g. Tableau, Power BI)

  • Construct and maintain sophisticated financial models in support of the operating and capital budget development and reporting processes for example the P&L, Long-Term, Cash Flow, and Balance Sheet modeling

  • Compile data submitted by managers and compare to budget targets set by executive management. Identify variances and submit for review by executive management. Assist in development of value-add KPI's

  • Serve as a resource for internal customers by researching and answering capital and operating budget questions.

  • Perform complex financial analysis associated with special projects, to include pre-acquisition analyses, acquisitions, business cases, and refinancing.

  • Assist to develop short and long-term IT plans and forecasts.

  • Other duties as assigned.

Competency Statement(s)
  • Detail Oriented - Be proficient at detailed documentation of financial processes, changes, modeling assumptions, maintain version control.

  • Financial Management - Highly knowledgeable in standard financial metrics, models, and presentation creation, maintenance, and interpretation. Can use these skills to develop decision support and value-add KPI's for Executive level management.

  • Communication Skills - Successful candidate must have excellent oral and written communication skills. Position will require frequent preparation and delivery of detailed plans and proposals. Strong communication/interpersonal skills with emphasis on decision-making, conflict management, and team building and teamwork. Must have ability to develop work plans, work effectively as a member of a team, report on status of projects, and represent the team in meetings and/or with the client, and be able to coordinate issues identification and resolution between clients and the development team.

  • Analytical Skills - Ability to use thinking and reasoning in gathering raw data and processing that data into a meaningful form, as well as translate for a wide audience in a concise manner.

  • Accountability - Ability to plan, organize, measure and coordinate multiple tasks to deliver the budget and subsequent analysis for P&L under standard financial deadlines. Deliver ad-hoc (or what-if) analysis as needed to support management initiatives.

  • Technical Aptitude - Ability to quickly learn as a self-starter under minimal supervision, use complex systems and applications (SQL, BI Tools/Software, Data mining).

Education Required: Bachelor's degree in finance, Economics, Accounting, Business Administration, or related field. Equivalent education, experience and training may be substituted for the degree requirement on a year for year basis.

Experience Required: Four years of progressively responsible professional-level financial analysis experience. Equivalent education and training may be substituted for experience.

Computer Skills: Demonstrated proficiency working with Microsoft Office Suite, to include Word, Excel, Access, and Outlook. Expert-level proficiency in Microsoft Excel required and mid-expert level proficiency in BI Tools/Visualization techniques. SQL and other data mining techniques preferred.

We hope you'll join us as we change lives through technology.