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Remote Data Transformation Analyst Jobs in Reno, NV

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Data Center MEP Field Manager

Sparks, NV · On-site +1

... progress, analyze spatial data, and proactively mitigate schedule risks. What We're Looking For ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Workiva

Spring 2027 Intern - Sales Analyst

Sparks, NV · On-site +1

$21/hr

You will assist with sales data analysis, contract renewal engagement, revenue retention support ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Moderna

Intern, CMC Development (Summer 2027)

Sparks, NV · On-site +1

$20 - $60/hr

... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ... results, perform data analysis, and document in formal reports including conclusions and ...

Varsity Tutors

Math 1 Tutor

Reno, NV · Remote

$40/hr

Deep knowledge of linear equations and inequalities, functions and function families, systems of equations, exponential functions, basic statistics and data analysis, geometric transformations, and ...

micro1 AI

Senior Database Reliability Engineer

Reno, NV · Remote

$220K - $260K/yr

... a remote team. Preferred Qualifications: • Experience supporting data platforms, analytics workloads, ETL processes, and operational databases. • Familiarity with Infrastructure as Code ...

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Remote Data Transformation Analyst information

See Reno, NV salary details

$33.9K

$82.4K

$135.6K

How much do remote data transformation analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote data transformation analyst in Reno, NV is $82,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What is a remote data transformation analyst?

A Remote Data Transformation Analyst is a professional who specializes in converting, cleaning, and organizing raw data into usable formats for analysis, all while working from a remote location. They work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms to ensure data accuracy and consistency. Their work supports business intelligence, reporting, and decision-making processes by making data accessible and actionable for stakeholders. Remote Data Transformation Analysts often collaborate with data engineers, data scientists, and other IT professionals to deliver high-quality data solutions.

What are some common challenges faced by remote data transformation analysts and how can they be addressed?

Remote Data Transformation Analysts often encounter challenges such as ensuring data accuracy across multiple sources, collaborating effectively with geographically dispersed teams, and managing tight project deadlines. To address these, it's important to establish clear communication channels, use project management tools to track progress, and routinely validate data transformations to maintain quality. Proactively seeking feedback from team members and stakeholders can also help quickly identify and resolve any issues, fostering a more efficient and collaborative remote work environment.

What are the key skills and qualifications needed to thrive as a remote data transformation analyst, and why are they important?

To thrive as a Remote Data Transformation Analyst, you need strong analytical skills, proficiency in data manipulation, and a background in computer science, information systems, or a related field. Familiarity with ETL tools (like Talend or Informatica), SQL, and data visualization platforms, as well as certifications in data analytics or related areas, are typically required. Excellent attention to detail, problem-solving abilities, and effective remote communication skills help you stand out in this role. These skills ensure accurate data transformation, seamless collaboration across distributed teams, and the delivery of actionable insights for business decision-making.

What is the difference between Remote Data Transformation Analyst vs Remote Data Engineer?

AspectRemote Data Transformation AnalystRemote Data Engineer
Required CredentialsBachelor's in Data Science, IT, or related field; SQL, Excel, data visualization skillsBachelor's or higher in Computer Science, Data Engineering; SQL, Python, cloud platforms
Work EnvironmentRemote, often part-time or project-based, collaborating with analysts and business teamsRemote or hybrid, involved in building and maintaining data pipelines and infrastructure
Employer & Industry UsageBusiness intelligence firms, finance, healthcare, retailTech companies, finance, e-commerce, large enterprises

The Remote Data Transformation Analyst focuses on cleaning, transforming, and visualizing data to support decision-making, while the Remote Data Engineer designs and maintains the data infrastructure and pipelines. Both roles require SQL skills and often work remotely, but Data Engineers typically have more programming and infrastructure responsibilities.

What are popular job titles related to Remote Data Transformation Analyst jobs in Reno, NV?

For Remote Data Transformation Analyst jobs in Reno, NV, the most frequently searched job titles are:

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The top searched job categories for Remote Data Transformation Analyst jobs in Reno, NV are:

What cities near Reno, NV are hiring for Remote Data Transformation Analyst jobs?

Cities near Reno, NV with the most Remote Data Transformation Analyst job openings:

Remote Data Transformation Analyst jobs near you
Infographic showing various Remote Data Transformation Analyst job openings in Reno, NV as of September 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% Remote job distribution, with an average salary of $82,398 per year, or $39.6 per hour.

Medical Microbiology Consultant - Remote

Reno, NV • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$70 - $90/hr

Part-time

This job post has expired 2 days ago. Applications are no longer accepted.

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.

Apply