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Remote Excel Data Analyst Jobs in Alaska (NOW HIRING)

Desktop Technician I (Future Opening)

Anchorage, AK · On-site +1

$20.75 - $26.25/hr

GCI's Desktop Technician I will be responsible for providing local and remote company employees and ... Proficient computer skills and MS Office knowledge (e.g., Outlook, Teams, Word, Excel) to complete ...

Remote, field-based. Candidate must reside within the assigned territory and within reasonable ... and utilizing data from CRM, reporting, and business intelligence tools. * Ability to analyze ...

Remote, field-based. Candidate must reside within the assigned territory and within reasonable ... and utilizing data from CRM, reporting, and business intelligence tools. * Ability to analyze ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Analyze and interpret small-molecule and drug discovery datasets using advanced computational ...

Showing results 41-60

Remote Excel Data Analyst information

What does a remote Excel data analyst do?

A Remote Excel Data Analyst is responsible for collecting, organizing, and analyzing data using Microsoft Excel while working from a remote location. They use advanced Excel functions and tools to create reports, visualize data, and provide insights that help businesses make informed decisions. Tasks may include cleaning and validating data, building dashboards, automating processes with formulas or macros, and collaborating with teams online. Strong attention to detail and proficiency in Excel are essential for this role.

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

To excel as a Remote Excel Data Analyst, you need strong analytical skills, advanced proficiency in Microsoft Excel, and a solid understanding of data management principles, often supported by a degree in a related field. Familiarity with Excel functions, PivotTables, VBA scripting, and data visualization tools like Power BI or Tableau is typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and collaborating with remote teams. These skills ensure accurate data analysis, clear reporting, and impactful business insights in a virtual environment.

How does a remote Excel data analyst typically collaborate with team members while working offsite?

As a Remote Excel Data Analyst, collaboration is often managed through digital communication tools such as Slack, Microsoft Teams, and email. Analysts frequently share spreadsheets, conduct screen-sharing sessions, and participate in virtual meetings to discuss findings or review data together. Clear documentation and version control of Excel files are crucial to ensure everyone is aligned. Regular check-ins and updates help maintain transparency and foster teamwork, despite the physical distance.

What is the difference between Remote Excel Data Analyst vs Remote Data Analyst?

AspectRemote Excel Data AnalystRemote Data Analyst
Required SkillsExcel, data analysis, basic SQLExcel, SQL, data visualization, statistical tools
CertificationsExcel certifications, data analysis coursesData analysis certifications, SQL certifications
Work EnvironmentRemote, primarily working with Excel filesRemote, using various data tools and platforms
Industry UsageFinance, marketing, operationsFinance, healthcare, tech, marketing

The Remote Excel Data Analyst primarily focuses on analyzing data using Excel and related tools, often in industries like finance and marketing. In contrast, the Remote Data Analyst typically works with a broader set of data tools, including SQL and visualization software, across diverse industries. Both roles are remote and require strong analytical skills, but the Remote Data Analyst usually demands a wider technical skill set.

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

The most popular types of Excel Data Analyst jobs in Alaska are:

What are popular job titles related to Remote Excel Data Analyst jobs in Alaska?

For Remote Excel Data Analyst jobs in Alaska, the most frequently searched job titles are:

What job categories do people searching Remote Excel Data Analyst jobs in Alaska look for?

The top searched job categories for Remote Excel Data Analyst jobs in Alaska are:

What cities in Alaska are hiring for Remote Excel Data Analyst jobs?

Cities in Alaska with the most Remote Excel Data Analyst job openings:

AI Training Specialist - Life Sciences

micro1 AI

Anchorage, AK • Remote

$90 - $120/hr

Part-time

Posted 22 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.