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Data Transformation Analyst Jobs (NOW HIRING)

Perform data transformation analysis and support migration or integration efforts. * Collaborate with business users, developers, and database engineers to understand data requirements. * Document ...

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long history of ...

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long history of ...

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long history of ...

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long history of ...

Digital Transformation Analyst- Pipeline

$100K - $119K/yr

Knowledge of data analysis and reporting. * Experience with digital transformation in [specific industry if applicable] is a plus. Summary : Analyze business processes, identify digital improvement ...

... analysis, and integration using Python Ability to work with multiple data sources and types ... and transformation tools like Coalesce, WhereScape, and Azure Data Factory Experience with data ...

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Data Transformation Analyst information

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$34K

$82.6K

$136K

How much do data transformation analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data transformation analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a data transformation analyst do?

A Data Transformation Analyst is responsible for converting, cleansing, and restructuring data from various sources to make it usable for analysis and business decision-making. They work with raw data, apply rules and mappings, and ensure data quality and consistency throughout the process. These professionals often collaborate with data engineers, analysts, and business stakeholders to define requirements and implement solutions that support reporting, analytics, or system migrations.

What are the key skills and qualifications needed to thrive as a data transformation analyst?

To thrive as a Data Transformation Analyst, you need strong analytical skills, proficiency in data modeling, and a solid understanding of database concepts, often supported by a degree in computer science, information systems, or a related field. Experience with ETL (Extract, Transform, Load) tools, SQL, and data integration platforms like Informatica or Talend is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help set top performers apart. These skills are crucial for ensuring accurate data migration, facilitating seamless business operations, and enabling informed decision-making.

What are some typical challenges data transformation analysts face when integrating data from multiple sources?

Data Transformation Analysts often encounter challenges such as inconsistent data formats, missing or incomplete information, and varying data quality standards across different sources. Addressing these issues requires strong problem-solving skills and close collaboration with data engineers and business stakeholders to clarify requirements and resolve discrepancies. Successfully navigating these challenges ensures that the transformed data is accurate, reliable, and ready for downstream analysis or reporting.

What are the most commonly searched types of Data Transformation Analyst jobs?

The most popular types of Data Transformation Analyst jobs are:

What are popular job titles related to Data Transformation Analyst jobs?

For Data Transformation Analyst jobs, the most frequently searched job titles are:

Infographic showing various Data Transformation Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

SQL Data Analyst

Phoenix, AZ โ€ข On-site

Conch Technologies Inc
IT Servicesย โ€ขย 51 - 200 employees

Contractor

Re-posted 5 days ago


Job description

 

SQL Data Analyst

Location: Hybrid – Phoenix, AZ (Local candidates preferred)
Duration: 6+ Months

Job Description

We are seeking a detail-oriented SQL Data Analyst to support data analysis, validation, and mapping activities for enterprise data initiatives. The ideal candidate will have strong SQL expertise, exceptional analytical skills, and experience working with both technical teams and business stakeholders to ensure data accuracy and consistency.

Responsibilities
  • Analyze and validate data across multiple systems to ensure accuracy and consistency.
  • Identify, investigate, and resolve data quality issues, including inconsistent values and missing standards.
  • Create and maintain detailed data mapping documentation for database engineering teams.
  • Develop bi-directional data mapping between source and target systems.
  • Perform data transformation analysis and support migration or integration efforts.
  • Collaborate with business users, developers, and database engineers to understand data requirements.
  • Document business rules, data definitions, and mapping logic.
  • Ensure high-quality deliverables through careful analysis and attention to detail.
Required Skills
  • Strong SQL skills with experience analyzing and validating large datasets.
  • Excellent attention to detail with a disciplined approach to data analysis.
  • Experience identifying and resolving data quality issues.
  • Strong understanding of data mapping and data transformation concepts.
  • Experience creating clear and structured mapping documentation.
  • Ability to communicate effectively with both technical and non-technical stakeholders.
  • Strong analytical, problem-solving, and documentation skills.
Preferred Qualifications
  • Experience supporting data migration, integration, or modernization projects.
  • Familiarity with enterprise databases and relational data models.
  • Experience working in Agile environments is a plus.