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Remote Entry Level Data Analyst Jobs in Nebraska

This role is hybrid, 4 days in office, 1 day remote. As a Sales Reporting Consultant you'll move ... Recommending data that drives growth in distribution. * Intelligently deploying AI within reporting ...

This is a remote position. Position Duties and Responsibilities Assists with the ongoing ... data analysis and remediation tasks in support of the library's web presence Adapts, expands ...

This position could be located at Kimball Electronics Headquarters in Jasper, IN or remote and ... Analyzing and interpreting data * Ability to follow processes/procedures * Experience with ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

$26.88 - $35.82/hr

... property data platforms andthe ability to learn company systems. * Excel at analyzing complex ... 82 Hourly, Remote This hiring range is a reasonable estimate of the base pay range for this ...

$26.88 - $35.82/hr

... property data platforms andthe ability to learn company systems. * Excel at analyzing complex ... 82 Hourly, Remote This hiring range is a reasonable estimate of the base pay range for this ...

$14.25 - $19/hr

S.A. remote. Role Summary The Associate Service Sales Representative is an entrylevel sales role ... Leverage available data to prioritize opportunities with the highest potential ROI and conversion ...

Showing results 21-40

Remote Entry Level Data Analyst information

See Nebraska salary details

$12

$31

$58

How much do remote entry level data analyst jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote entry level data analyst in Nebraska is $31.39, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $35.05 per hour, depending on experience, location, and employer.

Is it possible to get a remote job as a remote entry level data analyst?

Yes, remote entry-level data analyst positions are available and increasingly common. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often accept candidates with relevant coursework or certifications. Many companies offer remote work options for entry-level analysts, especially in tech, finance, and consulting industries.

What does a remote entry level data analyst do?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

How to get a job as a remote entry level data analyst with no experience?

To secure a remote entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Create a strong resume highlighting relevant coursework, projects, or internships, and apply to entry-level roles that often value transferable skills and willingness to learn, while demonstrating your ability to work independently in a remote environment.

What is a remote entry level data analyst?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

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

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

What are popular job titles related to Remote Entry Level Data Analyst jobs in Nebraska? For Remote Entry Level Data Analyst jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Data Analyst jobs in Nebraska look for? The top searched job categories for Remote Entry Level Data Analyst jobs in Nebraska are:
What cities in Nebraska are hiring for Remote Entry Level Data Analyst jobs? Cities in Nebraska with the most Remote Entry Level Data Analyst job openings:
Infographic showing various Remote Entry Level Data Analyst job openings in Nebraska as of August 2026, with employment types broken down into 6% Internship, 72% Full Time, and 22% Part Time. Highlights an 55% In-person, 17% Hybrid, and 28% Remote job distribution, with an average salary of $65,299 per year, or $31.4 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Omaha, NE • Remote

$70 - $90/hr

Part-time

Posted 14 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer 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.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.