POSITION
Data Ops Sr. Data Analyst
LOCATION
Remote, Ideally CST or EST. NO PST
VISA RESTRICTIONS
Job Description
Seeking an experienced Data Analyst to support Clients's pre-migration source data profiling, score-carding, and data readiness efforts for SAP Customer and Vendor master data. This role will focus on identifying data quality issues, defining profiling logic, developing scorecards, and supporting the discovery of business cleansing targets prior to migration.
The Data Analyst will work closely with the Data Lead, business process owners, supply chain stakeholders, functional SMEs, and technical teams to analyze source data, document pre-migration rules, and translate business data needs into SQL-based profiling logic, exception reporting, validation criteria, and actionable scorecards.
This role is well suited for a hands-on analyst with expert SQL skills, strong data profiling experience, and working knowledge of SAP Customer, Vendor, and related master data objects supporting Procure-to-Pay and Order-to-Cash processes. Experience with JDE and prior migration programs is a strong plus.
Focus Areas
The candidate will support pre-migration discovery and data readiness activities across the following areas:
SAP Customer master data
SAP Vendor master data
Supporting master data objects and source data dependencies
Procure-to-Pay data and process alignment
Order-to-Cash data and process alignment
Supply chain master data impacts and cleansing priorities
Key Responsibilities
Partner with the Data Lead to support discovery of pre-migration rules, source data profiling requirements, data quality thresholds, and scorecard measures that provide business cleansing targets prior to migration.
Analyze SAP Customer, Vendor, and related master data to identify completeness, consistency, duplication, validity, and readiness issues across source systems.
Write complex SQL queries to profile source data, create exception logic, support data mapping, validate rule outcomes, and produce repeatable profiling outputs.
Develop and maintain data scorecards that summarize data quality results, issue counts, cleansing priorities, and readiness trends for business and program stakeholders.
Translate business rules and process requirements into profiling logic, validation rules, exception reports, cleansing criteria, and migration readiness documentation.
Collaborate with P2P, OTC, supply chain, data migration, SAP functional, and technical teams to identify source data gaps, cleansing needs, conversion risks, and cross-functional dependencies.
Support business data cleansing by providing clear issue definitions, data extracts, prioritization inputs, root cause insights, and target-state readiness measures.
Document profiling rules, assumptions, field-level findings, data quality thresholds, scorecard definitions, open questions, risks, and decisions.
Support source-to-target analysis, mock load preparation, data validation, defect investigation, reconciliation activities, and pre-migration readiness reporting.
Investigate data defects and exceptions, determine likely root causes, and recommend remediation paths in partnership with the Data Lead and business teams.
Escalate blockers, risks, and critical data quality issues with clear impact statements, recommended actions, owners, and next steps.
Provide hands-on analytical support across profiling, score-carding, rule discovery, cleansing target definition, validation, readiness reporting, and issue resolution.
Required Experience and Skills
Minimum of 3 years of experience as a Data Analyst supporting SAP ECC and/or SAP S/4HANA data programs, preferably within large-scale enterprise or global transformation environments.
Hands-on experience profiling SAP Customer and/or Vendor master data, including supporting master data objects, source data dependencies, and business rule validation.
Expert SQL skills are required, including advanced querying, joins, aggregations, exception logic, data quality rules, reconciliation logic, and repeatable profiling outputs.
Experience creating data profiling outputs, scorecards, dashboards, exception reports, or data quality summaries that support business cleansing decisions.
Strong understanding of master data concepts, data quality dimensions, source-to-target analysis, data validation, data cleansing, and migration readiness.
Supply chain data knowledge supporting Procure-to-Pay and/or Order-to-Cash processes is strongly preferred.
Ability to translate business cleansing needs into clear data rules, SQL logic, exception criteria, scorecard measures, and actionable documentation.
Experience partnering with business stakeholders, functional SMEs, data leads, and technical teams to clarify requirements and resolve data issues.
Strong documentation skills, including the ability to capture profiling rules, assumptions, data quality findings, decisions, open items, risks, and action plans.
Experience supporting data migration, mock loads, validation cycles, defect triage, cutover preparation, or readiness reporting is preferred.
JDE knowledge or experience analyzing JDE source data is a plus.
Strong analytical thinking, root cause analysis, problem-solving, attention to detail, and ability to work independently with large datasets.
Ability to work in a fast-paced consulting environment with cross-functional teams, evolving requirements, competing priorities, and tight program timelines.
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