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Data Transformation Analyst Jobs (NOW HIRING)

Conch Technologies Inc

SQL Data Analyst

Phoenix, AZ · On-site

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

IDEX

Data Analyst, Finance

Oak Harbor, WA · On-site +1

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 ...

IDEX

Data Analyst, Finance

Rohnert Park, CA · On-site +1

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 ...

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How much do data transformation analyst jobs pay per year?

As of Jul 31, 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 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 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, and why are they important?

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 the most commonly searched types of Data Transformation Analyst jobs? The most popular types of Data Transformation Analyst jobs are:
Data Transformation Analyst jobs near you
Infographic showing various Data Transformation Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Transformation Analyst Intern

Hispanic Health Council Inc

Hartford, CT • On-site

Internship

Re-posted 14 days ago

Job description

About Company:

Since 1978, Hispanic Health Council has been championing health equity promotion and social justice in Connecticut through groundbreaking research and innovative health and human services. Our dynamic, culturally competent team creates lasting change in vulnerable communities through evidence-based programs and advocacy. Through our transformative initiatives, we're making an internationally recognized impact while offering meaningful careers with real growth opportunities. If you're passionate about making a difference, there's a place for you here!


About the Role:

As a Data Analyst Intern, you will play a crucial role in supporting our data-driven decision-making processes by collecting, processing, and analyzing large datasets. This internship offers a hands-on opportunity to apply statistical and analytical techniques to real-world business challenges, enhancing your technical and problem-solving skills. You will be responsible for preparing reports and visualizations that clearly communicate findings to stakeholders at various levels. Ultimately, your contributions will help improve operational efficiency and support strategic initiatives within the organization.

Minimum Qualifications:

  • Currently enrolled in or recently graduated from a degree program in Data Science, Statistics, Computer Science, or Mathematics Program.
  • Proficiencyin Excel, Tableau, and statistical tools (e.g., Python, R).
  • Knowledge of data warehousing and big data frameworks (e.g., Hadoop, Spark).
  • Strong mathematical and analytical skills, with familiarity in predictive modeling.

NOTE- It's an unpaid internship.

Preferred Qualifications:

  • Experience with programming languages such as Python or R for data analysis.
  • Knowledge of SQL for querying databases.
  • Exposure to data visualization tools like Tableau, Power BI, or similar platforms.
  • Understanding of machine learning fundamentals.
  • Previous internship or project experience involving data analytics.

Responsibilities:

  • Extract, clean, and transform data from multiple sources into standardized formats.
  • Develop data dictionaries and streamline metadata documentation for harmonized datasets.
  • Build data visualizations using Tableau and Excel for clarity on project insights.
  • Assist in model creation and validation for AI-driven trends analysis.

Skills:

In this role, you will apply your analytical skills daily to interpret complex datasets and extract meaningful insights that inform business decisions. Proficiency in tools like Excel, SQL, and programming languages such as Python or R will enable you to manipulate data efficiently and automate repetitive tasks. Your ability to create clear and compelling visualizations will help translate technical findings into accessible information for diverse audiences. Strong communication skills will be essential as you collaborate with team members and present your analyses. Additionally, your problem-solving mindset will drive continuous improvement in data processes and contribute to innovative solutions.