1

Contract Data Transformation Analyst Jobs in Washington

next page

Showing results 1-20

Contract Data Transformation Analyst information

What is the difference between Contract Data Transformation Analyst vs Data Analyst?

AspectContract Data Transformation AnalystData Analyst
Required CredentialsTypically a bachelor’s degree in IT, Computer Science, or related field; certifications like Microsoft Certified Data Analyst are commonBachelor’s degree in Data Science, Statistics, or related field; certifications like Microsoft Data Analyst Associate are common
Work EnvironmentProject-based, often within IT or consulting firms, focusing on data migration and transformation projectsVarious industries, working with data collection, analysis, and reporting in office settings
Employer & Industry UsageUsed by companies needing data migration, transformation, or integration, especially in finance, healthcare, and techWidely used across industries for data analysis, reporting, and business intelligence

The Contract Data Transformation Analyst primarily focuses on transforming and migrating data within IT projects, often on a contract basis, while Data Analysts analyze and interpret data to support business decisions. Both roles require similar technical skills and certifications but differ in their core responsibilities and work environments.

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

The most popular types of Data Transformation Analyst jobs in Washington are:

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

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

What job categories do people searching Contract Data Transformation Analyst jobs in Washington look for?

The top searched job categories for Contract Data Transformation Analyst jobs in Washington are:

Senior Mortgage Data Analyst - Data Transformation

Omm IT Solutions

Mclean, VA • On-site

$87K - $110K/yr

Contractor

Re-posted 23 days ago


Job description

\n <\/head>\n \n \n
\n PLEASE NOTE:<\/b><\/span><\/span><\/u>
<\/b><\/span><\/span><\/span>\n <\/div>\n
    \n
  • IT IS 100% on site position in McLean, VA.<\/b><\/span><\/span><\/span>
    <\/li>\n <\/ul>\n
    \n <\/b><\/span><\/span><\/span>
    \n <\/div>\n
    \n KEY REQUIRED SKILLS:<\/b><\/span><\/span><\/u>
    <\/span><\/span><\/span>\n <\/div>\n
      \n
    • Data lineage, data mapping, business process analysis, Cloud Data Platform<\/span><\/span><\/span>
      <\/li>\n <\/ul>\n
      \n
      <\/span><\/span><\/span>\n <\/div>\n
      \n DESCRIPTION:<\/b><\/u>
      <\/span><\/span>\n <\/div>\n
      \n We are seeking an experienced Senior Mortgage Data Analyst - Data Transformation to support a large\-scale enterprise data transformation initiative for a leading financial services organization. In this role, you will serve as the bridge between business stakeholders and technical teams, ensuring business requirements are accurately translated into scalable, cloud\-based data solutions. A key role in data analysis, business process optimization, requirements definition, stakeholder collaboration, and ensuring high\-quality delivery throughout the project lifecycle.

      <\/b><\/span><\/span>\n <\/div>\n
      \n KEY RESPONSIBILITIES:<\/b><\/span><\/span><\/u>
      <\/span><\/span>\n <\/div>\n
        \n
      • Perform data lineage analysis, data profiling, and data mapping across enterprise applications and data platforms. <\/span><\/span><\/span>
        <\/span><\/span><\/li>\n
      • Analyze legacy data assets and map them to target\-state cloud\-based data architectures.<\/span><\/span><\/span>
        <\/span><\/span><\/li>\n
      • Gather, analyze, and document business and functional requirements for enterprise data transformation initiatives.<\/span><\/span><\/span>
        <\/span><\/span><\/li>\n
      • Create user stories, business process flows, functional specifications, and acceptance criteria for development teams.<\/span><\/span><\/span>
        <\/span><\/span><\/li>\n
      • Partner with business stakeholders, architects, data engineers, and product owners to define business\-aligned data solutions.<\/span><\/span><\/span>
        <\/span><\/span><\/li>\n
      • Evaluate event\-driven and entity\-based data models while identifying transformation opportunities and data gaps.<\/span><\/span><\/span>
        <\/span><\/span><\/li>\n
      • Support cloud\-based data ingestion and integration initiatives.<\/span><\/span><\/span>
        <\/span><\/span><\/li>\n
      • Coordinate User Acceptance Testing (UAT), Quality Assurance (QA), and validation activities.<\/span><\/span><\/span>
        <\/span><\/span><\/li>\n
      • Ensure deliverables meet business objectives, quality standards, and project timelines.<\/span><\/span><\/span>
        <\/span><\/span><\/li>\n
      • Facilitate stakeholder meetings, manage expectations, and communicate project progress effectively.<\/span><\/span><\/span>
        <\/span><\/span><\/li>\n
      • Utilize AI\-powered productivity tools such as Microsoft Copilot, ChatGPT, Claude, or other approved LLMs to improve documentation, analysis, and delivery efficiency.<\/span><\/span><\/span>
        <\/span><\/span><\/li>\n
      • Support enterprise data governance initiatives and ensure adherence to organizational data standards.<\/span><\/span><\/span>
        <\/li>\n <\/ul><\/span>
        Requirements<\/h3>\n
        \n REQUIRED QUALIFICATION:<\/b><\/span><\/span><\/u>
        <\/span><\/span><\/span>\n <\/div>\n
          \n
        • Bachelor's degree in Computer Science, Information Systems, Business, Data Analytics, Finance, or a related discipline.<\/span>
          <\/span><\/span><\/span><\/li>\n
        • 7+ years of Business Analysis experience supporting enterprise data, analytics, or technology transformation programs.<\/span>
          <\/span><\/span><\/span><\/li>\n
        • Proven experience in data lineage, data profiling, data mapping, and business process analysis.<\/span>
          <\/span><\/span><\/span><\/li>\n
        • Strong experience gathering and documenting business, functional, and technical requirements.<\/span>
          <\/span><\/span><\/span><\/li>\n
        • Experience working with cloud\-based data platforms and modern data ingestion architectures.<\/span>
          <\/span><\/span><\/span><\/li>\n
        • Knowledge of enterprise data architecture, data governance, and data integration concepts.<\/span>
          <\/span><\/span><\/span><\/li>\n
        • Strong analytical, problem\-solving, and stakeholder management skills.<\/span>
          <\/span><\/span><\/span><\/li>\n
        • Excellent verbal and written communication skills.<\/span>
          <\/span><\/span><\/span><\/li>\n
        • Experience working in Agile environments.<\/span><\/span><\/span>
          <\/li>\n <\/ul>\n
          \n
          <\/span><\/span>\n <\/div>\n
          \n PREFERRED QUALIFICATION:<\/b><\/span><\/span><\/u><\/span>
          <\/span><\/span>\n <\/div>\n
            \n
          • Experience within the secondary mortgage industry.<\/span>
            <\/span><\/span><\/span><\/li>\n
          • Hands\-on experience with cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud Platform.<\/span>
            <\/span><\/span><\/span><\/li>\n
          • Experience with enterprise data modernization and legacy system transformation projects.<\/span>
            <\/span><\/span><\/span><\/li>\n
          • Experience using Azure DevOps, Jira, or similar Agile project management tools.<\/span>
            <\/span><\/span><\/span><\/li>\n
          • Familiarity with AI\-assisted business analysis tools including Microsoft Copilot, ChatGPT, and Claude.<\/span>
            <\/span><\/span><\/span><\/li>\n
          • Professional certifications such as CBAP, PMI\-PBA, Scrum, or Agile certifications are a plus.<\/span>
            <\/span><\/span><\/span><\/li>\n <\/ul><\/span>
            \n <\/body>\n<\/html>