Data Readiness Analyst - SA

Perficient is hiring a Data Readiness Analyst to assess in-scope source systems and turn data profiling findings into migration decisions. The role independently runs assessments, produces domain scorecards and pre-cutover issue lists, and establishes baselines and tolerances for reconciliation gates.

Responsibilities

• The Data Readiness Analyst 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 programme 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

Preferred

• Perficient DRA preferred; Informatica IDQ, Oracle EDQ or Collibra acceptable with ramp-up
• Familiarity with AI-enhanced platforms is a plus
• Preferred: SAP-sourced data profiling, product/catalog data at scale, multi-country address verification, Python
• Perficient DRA
• Informatica IDQ
• Oracle EDQ
• Collibra
• AI-Enhanced Platforms
• SAP Data Profiling
• Product Catalog Data
• Large-Scale Data
• Multi-Country Address Verification
• Python

Benefits

• Hybrid work basis if/when needed

Company

• Global AI and technology consulting firm
• St Louis, Missouri, USA
• http://www.perficient.com/
• Founded in 1998
• 5001-10000 employees

Qualifications

• Hands-on operation of a data profiling and quality platform end to end: connecting sources, configuring rule sets, running scans, interpreting output
• 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
• Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution
• A solid understanding of AI capabilities and limitations including ethical considerations is expected
• Excellent stakeholder management skills
• Excellent written and oral communication skills
• Ability to communicate effectively with technical and non-technical staff
• Bachelor's degree in Information Systems, Computer Science, Engineering, Business, or a related field
• Perficient DRA preferred; Informatica IDQ, Oracle EDQ or Collibra acceptable with ramp-up
• Familiarity with AI-enhanced platforms is a plus
• Preferred: SAP-sourced data profiling, product/catalog data at scale, multi-country address verification, Python

Required skills

• Clustering and Survivorship, Collibra, Data Classification, Data Profiling and Data Quality, Duplicate Detection, GDPR, Informatica IDQ, Oracle, Oracle EDQ, Perficient DRA, Python, SAP-Sourced Data Profiling, SQL, Sensitive-Data Classification, Stakeholder Management

Preferred skills

• Familiarity with AI-enhanced platforms is a plus

Experience

• Mid level