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AS400 Developer @ Scottsdale W2

Job in Scottsdale, Maricopa County, Arizona, 85261, USA
Listing for: XpertTech Inc
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Immediate need For AS400 Developer @ Scottsdale on W2

Immediate need For AS400 Developer @ Scottsdale on W2

Job Title:

Data Analyst / Data Modeler

Location:

Columbus, OH 43215

Duration: 12+ Months

Skill Matrix
  • Data Analysis
  • Data Modeling – Hybrid, Dimensional and Relational
  • Data Visualization
  • Source to Target Mapping
  • Data Profiling
  • Hadoop plus
Responsibilities
  • Critically evaluates information gathered from multiple sources, reconciles conflicts, and classifies it in logical categories.
  • Uses different visualization techniques to present the results of data exploration exercises.
  • Understands the flow of data, business processes, and technical interfaces that would be created or impacted.
  • Documents source‑to‑target mappings for data integration and web services (consumer/provider mappings) that can be easily understood by the project team, including data quality and transformation rules.
  • Identifies and documents sources of existing data as well as new data; understands use of master and reference data, including sources and contributors.
  • Collaborates with data scientists and business partners to conduct data profiling and predictive analysis using a variety of standard tools.
  • Creates conceptual, logical, and physical data models and determines the most appropriate method to represent data for business consumption, including relational, dimensional, object, key‑value (e.g., column families), and graph representations.
  • Has joint accountability with data stewards and data architects on projects to ensure compliance with enterprise data governance policies around information risk and data protection guidelines, including data masking and protection schemes.
  • Performs data source identification, profiling, interpretation of patterns and trends, assessment and improvement of data quality, and uses visualization tools and techniques to share analysis findings.
  • Experience Backgrounds
  • Analytically Intensive – intended to draw/develop insights from collected data.
  • Operationally Data Intensive – intended to create authoritative data sources essential to core transactional processing.
  • Data Integration Intensive – requires merging many data types to satisfy business requirements.
  • Required Skills
    • Data Analysis
    • Data Modeling – Hybrid, Dimensional and Relational
    • Data Visualization
    • Source to Target Mapping
    • Data Profiling
    • Hadoop plus
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