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Remote Data Transformation Analyst Jobs in Raleigh, NC

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

Deliver end-to-end data and analytics capabilities, including data ingest, data transformation ... Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

Deliver end-to-end data and analytics capabilities, including data ingest, data transformation ... Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

Deliver end-to-end data and analytics capabilities, including data ingest, data transformation ... Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data ...

Welo Data

Online Data Analyst - Remote

Raleigh, NC · Remote

$14.50/hr

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

New

Welo Data

Online Data Analyst - Remote

Durham, NC · Remote

$14.50/hr

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

New

Welo Data

Online Data Analyst - Remote

Cary, NC · Remote

$14.50/hr

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

New

Aledade

Analyst-IMD Data Management

Raleigh, NC · On-site +1

$51K - $59.30K/yr

Aledade, a public benefit corporation, exists to empower the most transformational part of our ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100.50K - $174K/yr

... transformation. We design and deploy agentic AI systems and predictive analytics, supported by AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

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Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100.50K - $174K/yr

... transformation. We design and deploy agentic AI systems and predictive analytics, supported by AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

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Remote Data Transformation Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of May 30, 2026, the average yearly pay for remote data transformation analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

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 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 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 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 Raleigh, NC? For Remote Data Transformation Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Transformation Analyst jobs in Raleigh, NC look for? The top searched job categories for Remote Data Transformation Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Transformation Analyst jobs? Cities near Raleigh, NC 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 Raleigh, NC as of May 2026, with employment types broken down into 86% Full Time, 5% Part Time, and 9% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.
Remote Data Science Consultant & AI Trainer

Remote Data Science Consultant & AI Trainer

DataAnnotation

Raleigh, NC • On-site, Remote

$60/hr

Full-time

Posted 18 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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