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AS400 Developer @ Scottsdale W2

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: XpertTech Inc
Full Time position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 70000 - 90000 USD Yearly USD 70000.00 90000.00 YEAR
Job Description & How to Apply Below
Immediate need For AS400 Developer @ Scottsdale on W2 Overview

Job Title:

Data Analyst / Data Modeler

Location:

Columbus, OH 43215

Duration: 12+ Months

Skill Matrix
  • COMPLETE 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, classifies the information in logical categories.
  • Uses different visualization techniques and present the results of data exploration exercises.
  • Understands the flow of data, business processes/technical interfaces that would be created or impacted.
  • Documents the source to target mappings for both data integration as well as web services (consumer/provider mappings) that can be easily understood by the project team members with data quality and transformation rules.
  • Identifies and documents sources of existing data as well as the new data. Understands use of master and reference data including sources and contributors.
  • Collaborates with data scientists and business partners and conducts 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 the data for business consumption. This includes all forms of physical representation of data, such as relational, dimensional, object, key-value (such as column families), and graph.
  • Have joint accountability with data stewards and data architects on the projects to ensure conformance to enterprise data governance policies around information risk and data protection guidelines. Data analysts should be familiar with common policies around data masking and protection schemes.
  • Data source identification, data profiling, interpretation of patterns and trends, assessment of and improvement of data quality, versatility with visualization tools and techniques to share analysis findings.
  • Project Experience Types
    • Analytically Intensive – Intended to draw/develop insights from data that is collected.
    • Operationally Data Intensive – Intended to create authoritative data sources that are essential to core transactional processing.
    • Data Integration Intensive – Requires the merging of 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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