Data Readiness Analyst

Job Description

Data Readiness Analyst

Location: Remote (US) | Type: Full Time | Experience: 5+ years | Pay: $135K-$175K

About the Role

We're hiring a Data Readiness Analyst to measure the source data behind a large enterprise migration before a single record moves. You'll run a data readiness assessment platform against every in-scope system, including Oracle ATG, SAP ECC and SAP CPQ extracts, and Stibo STEP, then turn what you find into the decisions the program is built on: domain scorecards, a pre-cutover issue list, and the baselines and tolerances the migration's reconciliation gates are later held to.

This is a full-time role with a global digital consultancy that runs data, commerce, and platform modernization programs for large enterprises. You'll own the tool end to end, from connecting sources and configuring rule sets to interpreting results, and you'll stand behind your findings with the client's business data stewards.

The role is remote, with travel of up to 25% to client sites if and when the program calls for it (very little travel is happening today). If you live near one of the firm's offices or a client location, you should be open to working onsite 2 to 3 days a week. If you've watched a migration slip because nobody measured the source data honestly up front, this is the job that fixes that.

What You'll Do

• Run readiness scans across Oracle ATG, SAP ECC, SAP CPQ, and Stibo STEP sources, independently and end to end
• Connect each source, configure rule sets, and interpret what comes back
• Write Oracle SQL to validate what the tool reports and investigate anything it flags
• Profile and classify data for completeness, validity, uniqueness, consistency, and referential integrity, separating real defects from patterns that only look wrong
• Duplicate detection, clustering, and survivorship, with a clear call on what gets resolved before migration and what is safe to carry forward
• Classify sensitive data and design scans that profile in place, moving only aggregated results to respect GDPR and data residency requirements
• Build the domain scorecards, the pre-cutover issue list, and the measured baselines that downstream reconciliation gates depend on
• Agree tolerances and adjudicate exceptions directly with business data stewards
• Translate findings into design and effort implications, including a re-baselined estimate. The output is decisions, not a report.

Qualifications

Must Have

• 5+ years in data quality, data profiling, or data migration work, with several large migrations behind you
• Hands-on operation of a data profiling and quality platform from source connection through rule configuration, scanning, and interpretation (Informatica IDQ, Oracle EDQ, Collibra, or similar)
• Strong SQL, especially against Oracle
• Oracle data source experience; Oracle ATG is a big plus
• Python for profiling, validation, or automation
• Duplicate detection, clustering, and survivorship in a migration context
• Working knowledge of sensitive-data classification, GDPR, and data residency
• Comfortable in front of clients and able to hold a position with business stakeholders on data quality calls
• Authorized to work in the US without sponsorship; US citizens and green card holders preferred

Preferred

• Profiling SAP-sourced data (SAP ECC, SAP CPQ)
• Product or catalog data at scale, including PIM or MDM platforms like Stibo STEP
• Multi-country address verification
• Prior work on MDM or data migration programs

A note on resumes: the hiring team screens closely, so make sure yours spells out your data migration, data profiling, Oracle, SQL, Python, and SAP experience, including the tools you used, when, and what you did with them.

Why Join Us

You'll join the data practice of a large digital consultancy that runs MDM and migration programs for enterprise clients, where readiness work is treated as the foundation of the program rather than a box to check. Analysts get real ownership here: you run the assessment, you own the numbers, and the plan moves based on what you find.

To apply, click Apply on LinkedIn and visit eliosai.com/browse-jobs