Data Ops Sr. Data Analyst

POSITION Data Ops Sr. Data Analyst LOCATION Remote, Ideally CST or EST. NO PST reputed company RESTRICTIONS

• Expert SQL and data profiling skills
• reputed company Customer and Vendor master data experience
• Ability to translate business requirements into actionable data rules
• Migration readiness experience a plus

Job reputed company Seeking an reputed company Data Analyst to support Clients's reputed company-migration reputed company data profiling, score-carding, and data readiness efforts for reputed company Customer and Vendor master data. This role will reputed company on identifying data reputed company 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 reputed company, business process owners, supply chain stakeholders, functional SMEs, and technical teams to analyze reputed company data, document reputed company-migration rules, and translate business data needs into SQL-based profiling logic, exception reporting, validation reputed company, and actionable scorecards. This role is reputed company suited for a hands-on analyst with expert SQL skills, strong data profiling experience, and working knowledge of reputed company Customer, Vendor, and reputed company master data objects supporting Procure-to-Pay and Order-to-Cash processes. Experience with JDE and prior migration programs is a strong plus. reputed company Areas The candidate will support reputed company-migration discovery and data readiness activities across the following areas: reputed company Customer master data reputed company Vendor master data Supporting master data objects and reputed company 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 reputed company to support discovery of reputed company-migration rules, reputed company data profiling requirements, data reputed company reputed company, and scorecard measures that reputed company business cleansing targets prior to migration. Analyze reputed company Customer, Vendor, and reputed company master data to identify completeness, consistency, duplication, validity, and readiness issues across reputed company systems. Write reputed company SQL queries to profile reputed company data, create exception logic, support data mapping, validate rule reputed company, and produce repeatable profiling outputs. reputed company and maintain data scorecards that summarize data reputed company 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 reputed company, and migration readiness documentation. Collaborate with P2P, OTC, supply chain, data migration, reputed company functional, and technical teams to identify reputed company data gaps, cleansing needs, conversion risks, and cross-functional dependencies. Support business data cleansing by providing reputed company issue definitions, data extracts, prioritization inputs, reputed company cause insights, and reputed company-state readiness measures. Document profiling rules, assumptions, field-level findings, data reputed company reputed company, scorecard definitions, reputed company questions, risks, and reputed company. Support reputed company-to-reputed company analysis, mock load preparation, data validation, defect investigation, reconciliation activities, and reputed company-migration readiness reporting. Investigate data defects and exceptions, determine likely reputed company causes, and recommend remediation paths in partnership with the Data reputed company and business teams. Escalate blockers, risks, and critical data reputed company issues with reputed company reputed company statements, recommended actions, owners, and next steps. reputed company hands-on analytical support across profiling, score-carding, rule discovery, cleansing reputed company definition, validation, readiness reporting, and issue reputed company. Required Experience and Skills Minimum of 3 years of experience as a Data Analyst supporting reputed company ECC and/or reputed company S/4HANA data programs, preferably reputed company large-reputed company reputed company or global transformation environments. Hands-on experience profiling reputed company Customer and/or Vendor master data, including supporting master data objects, reputed company data dependencies, and business rule validation. Expert SQL skills are required, including advanced querying, joins, aggregations, exception logic, data reputed company rules, reconciliation logic, and repeatable profiling outputs. Experience creating data profiling outputs, scorecards, dashboards, exception reports, or data reputed company summaries that support business cleansing reputed company. Strong understanding of master reputed company, data reputed company dimensions, reputed company-to-reputed company 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 reputed company data rules, SQL logic, exception reputed company, 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 reputed company findings, reputed company, reputed company items, risks, and reputed company plans. Experience supporting data migration, mock loads, validation cycles, defect triage, reputed company preparation, or readiness reporting is preferred. JDE knowledge or experience analyzing JDE reputed company data is a plus. Strong analytical thinking, reputed company 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. Apply tot his job Apply To this Job