Remote Data Business Analyst for SAP S/4HANA Transformation

Korn Ferry; United States; À distance; USD 85 000 - 112 000; Plein temps

Avantages offerts par ce poste

Six-month initial contract

Predominantly remote

Outside IR35

Résumé du poste

Korn Ferry seeks a junior-to-mid-level Data Business Analyst to support a SAP S/4HANA transformation in the pharmaceutical sector. You will translate data strategy into clear requirements, processes and delivery activity, working with a senior Data Governance and Data Migration Lead.

Responsibilities include gathering requirements, documenting processes, supporting data readiness, and embedding data governance and Master Data Management across the programme.

Qualifications

• Three to four years of solid Business Analysis experience.
• Strong requirements gathering, process mapping and documentation skills.

Responsabilités

• Gather, analyse and document business and data requirements.
• Create process maps, user stories, acceptance criteria and action plans.
• Support data readiness, validation, cleansing and issue resolution.
• Help implement data governance, ownership and stewardship processes.
• Support the introduction of new Master Data Management structures and tools.
• Coordinate actions across business, SAP, governance and migration teams.
• Track requirements, decisions, risks, dependencies and outstanding actions.
• Support workshops and help embed new data processes across the business.

Connaissances

Requirements gathering

Process mapping

Documentation

Stakeholder management

Data quality

Communication

Attention to detail

Analytical thinking

Outils

SAP S/4HANA

MDG

Master Data Management

Data governance tooling

Description du poste

Korn Ferry seeks a junior-to-mid-level Data Business Analyst to support a SAP S/4HANA transformation in the pharmaceutical sector. You will translate data strategy into clear requirements, processes and delivery activity, working with a senior Data Governance and Data Migration Lead.

Responsibilities include gathering requirements, documenting processes, supporting data readiness, and embedding data governance and Master Data Management across the programme.