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Part Time Remote Data Analyst Jobs in Tempe, AZ (NOW HIRING)

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

AUDITOR 3

Phoenix, AZ · On-site +1

$43K - $65K/yr

Compares data from sources to assure compliance with technical specifications, using judgment and ... part-time remote work schedule, employees enjoy improved work/life balance, report higher job ...

LEGAL SECRETARY I

Phoenix, AZ · On-site +1

$40K/yr

... data processing Skill in grammar, punctuation, spelling and editing Skill in composing ... part-time remote work schedule, employees enjoy improved work/life balance, report higher job ...

Senior Data Engineer

Mesa, AZ · Remote

$105K - $142K/yr

... remote databases, and other business systems into trusted and actionable information. Company ... Maintain and evolve data models, schemas, and metadata for analytics and reporting. * Designs ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources.

Showing results 21-40

Part Time Remote Data Analyst information

See Tempe, AZ salary details

$32.6K

$79.2K

$130.3K

How much do part time remote data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for part time remote data analyst in Tempe, AZ is $79,151.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $92,900.00 per year, depending on experience, location, and employer.

What are the most common challenges faced by part time remote data analysts, and how can I overcome them?

Part-time remote data analysts often encounter challenges related to time management, communication across different teams, and maintaining data security. Effectively prioritizing tasks and setting structured work hours can help ensure deadlines are met, even with a flexible schedule. It’s important to proactively communicate with managers and team members to stay aligned on project requirements and deliverables, making use of collaboration tools like Slack or Microsoft Teams. Staying organized and keeping up with data privacy protocols will also help you maintain the quality and integrity of your analysis while working remotely. Adopting these practices can make your remote work experience more productive and rewarding.

Is it still worth it to become a part time remote data analyst in 2026?

Part time remote data analyst roles remain valuable in 2026 due to ongoing demand for data-driven decision making across industries. Success in this role often requires proficiency in tools like Excel, SQL, and data visualization software, along with strong analytical skills. The position offers flexibility and opportunities for skill development, making it a worthwhile option for those interested in data analysis careers.

What is a part time remote data analyst?

A Part Time Remote Data Analyst collects, processes, and analyzes data to help businesses make informed decisions while working remotely and on a part-time schedule. Responsibilities often include cleaning datasets, creating reports, and identifying trends using statistical tools. This role is ideal for individuals who excel at data interpretation and want flexibility in their work hours. Common industries hiring for this position include finance, healthcare, e-commerce, and marketing. Strong skills in Excel, SQL, Python, or R are typically required.

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

To thrive as a Part Time Remote Data Analyst, a strong foundation in data analysis, statistical methods, and attention to detail is essential, typically supported by a relevant degree or coursework in data science, statistics, or a related field. Proficiency with analytical tools such as Excel, SQL, Python, or business intelligence platforms, as well as familiarity with data visualization software and data privacy best practices, is generally expected. Strong communication, time management, and problem-solving abilities help remote analysts effectively interpret data, meet deadlines, and present actionable insights to stakeholders. These skills ensure accurate, insightful analysis and foster productive collaboration in virtual team environments.

What are the most commonly searched types of Remote Data Analyst jobs in Tempe, AZ? The most popular types of Remote Data Analyst jobs in Tempe, AZ are:
What are popular job titles related to Part Time Remote Data Analyst jobs in Tempe, AZ? For Part Time Remote Data Analyst jobs in Tempe, AZ, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Analyst jobs in Tempe, AZ look for? The top searched job categories for Part Time Remote Data Analyst jobs in Tempe, AZ are:
What cities near Tempe, AZ are hiring for Part Time Remote Data Analyst jobs? Cities near Tempe, AZ with the most Part Time Remote Data Analyst job openings:
Infographic showing various Part Time Remote Data Analyst job openings in Tempe, AZ as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $79,151 per year, or $38.1 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Gilbert, AZ • On-site, Remote

$90 - $120/hr

Part-time

Posted 14 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic 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.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.