Senior Data Quality & Readiness Analyst

The Brixton Group, Inc.

  • Dallas, TX
  • 6 days ago
  • Remote

    Highlights

    Operates the tool independently end to end, connecting each source, configuring and running the scans, interpreting the output, and standing behind the findings with the client's data stewards. Hands-on operation of a data profiling and quality platform end to end: connecting sources, configuring rule sets, running scans, interpreting output.

    Numbers & Facts

    LocationDallas, TX (
    Remote
    )

    Description

    Employment Type: Permanent/Direct Hire
    Compensation: $165k base/yr + Bonus & Benefits
    Location: 100% Remote

    Runs and executes Perficient DRA (Data Readiness Assessment) against every in-scope source system: Oracle ATG, SAP ECC and SAP CPQ extracts, and Stibo STEP. Turns the findings into the decisions the program is built on. Operates the tool independently end to end, connecting each source, configuring and running the scans, interpreting the output, and standing behind the findings with the client's data stewards. Produces the domain scorecards, the pre-cutover issue list, and the measured baselines and tolerances that the migration's reconciliation gates are later built against.
    Skills and experience:

    Requirements: 

    • Hands-on operation of a data profiling and quality platform end to end: connecting sources, configuring rule sets, running scans, interpreting output. Perficient DRA preferred; Informatica IDQ, Oracle EDQ or Collibra acceptable with ramp-up
    • SQL fluency, particularly Oracle, able to validate what the tool reports and investigate what it flags
    • Data profiling and classification: completeness, validity, uniqueness, consistency, referential integrity, and the judgment to separate a real defect from a benign pattern
    • Duplicate detection, clustering and survivorship, including what to resolve before a migration rather than carry into a new system
    • Sensitive-data classification, with a working understanding of GDPR and data residency, enough to design scans that profile in place and move only aggregated results
    • Able to translate findings into design and effort implications; the output is decisions and a re-baselined estimate, not a report
    • Client-facing: agreeing tolerances and adjudicating exceptions directly with business data stewards
    • Preferred: SAP-sourced data profiling, product/catalog data at scale, multi-country address verification, Python


    26-01218
    #dice

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