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Remote Data Transformation Analyst Jobs in Philadelphia, PA

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

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Fully remote Seniority: Open to mid-level or senior profiles; hands-on Data360 and workflow ... Data360 Analyze). * Design and configure complex ETL workflows, data transformations, business ...

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Fully remote Seniority: Open to mid-level or senior profiles; hands-on Data360 and workflow ... Data360 Analyze). * Design and configure complex ETL workflows, data transformations, business ...

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Director, Trade Data Analysis and Transformation: For a consulting firm focused on capital markets risk and regulatory strategy, transformation, data and technology (RegEdge LLC - Bala Cynwyd, PA ...

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Director, Trade Data Analysis and Transformation: For a consulting firm focused on capital markets risk and regulatory strategy, transformation, data and technology (RegEdge LLC - Bala Cynwyd, PA ...

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SIEM Engineer

Wilmington, DE ยท Remote

$75 - $80/hr

SIEM Engineer, REMOTE Start date is ASAP for this 3 to 6 month contract position. Job Title: SIEM ... Analytics logs. Configure and maintain Data Collection Rules (DCRs) using the Azure Monitor Agent ...

Philadelphia ,PA - Hybrid - 3 Days a week in the office/ Remote Duration: Long-Term Contract Job Summary We are seeking a detail-oriented HEDIS Data Analyst with strong SQL skills to support Health ...

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Remote Data Transformation Analyst information

See Philadelphia, PA salary details

$34.3K

$83.4K

$137.2K

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

As of Sep 3, 2026, the average yearly pay for remote data transformation analyst in Philadelphia, PA is $83,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 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 Philadelphia, PA?

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

What job categories do people searching Remote Data Transformation Analyst jobs in Philadelphia, PA look for?

The top searched job categories for Remote Data Transformation Analyst jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Data Transformation Analyst jobs?

Cities near Philadelphia, PA with the most Remote Data Transformation Analyst job openings:

Infographic showing various Remote Data Transformation Analyst job openings in Philadelphia, PA as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $83,391 per year, or $40.1 per hour.

Data Privacy Analyst - Remote

YO AI Labs

Philadelphia, PA โ€ข Remote

$31 - $60/hr

Full-time

Posted 9 days ago


Job description

Data Privacy Analyst

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting sensitive information. In this role, you will review transformed datasets and documents, identify improperly handled Personally Identifiable Information (PII), and perform detailed quality checks to ensure privacy standards are consistently maintained.

Key Responsibilities
  • Conduct spot-checks of transformed datasets to verify proper redaction, masking, or anonymization of PII.
  • Review documents and datasets for sensitive or personally identifiable information.
  • Identify missed, incorrectly handled, or improperly redacted sensitive data.
  • Evaluate data against established privacy and quality standards.
  • Document discrepancies, findings, and observations using provided tools and templates.
  • Provide clear and actionable feedback to improve data privacy and review quality.
  • Maintain confidentiality and accuracy when working with sensitive information.
Required Qualifications
  • Strong understanding of PII, data privacy, and information protection practices.
  • Experience with document review, quality assurance, eDiscovery, or compliance processes.
  • Strong attention to detail and ability to identify subtle data privacy issues.
  • Experience working with sensitive or confidential information.
  • Strong analytical and written communication skills.
  • Ability to perform repetitive and detailed spot-checks while maintaining consistent accuracy.
  • Comfortable working independently in a remote environment.
Preferred Qualifications
  • Background as a Paralegal, eDiscovery Specialist, Privacy Analyst, Information Governance Specialist, Compliance Manager, or Legal Document Review Lead.
  • Experience with legal document review, litigation support, or managed legal services.
  • Familiarity with data privacy regulations and compliance requirements.
  • Experience with contract review or legal quality assurance.
  • Experience working in high-stakes environments involving sensitive data.
Core Skills

PII | Data Privacy | Document Review | Spot Checks | eDiscovery | Quality Assurance | Data Redaction | Data Anonymization | Compliance | Attention to Detail | Sensitive Data Handling