Data Analyst

The interview process typically starts with a timed online aptitude test covering quantitative, logical, and data‑interpretation questions. Successful candidates move to a technical interview where interviewers probe SAP MDG knowledge, data‑quality methodologies, and Excel automation skills. The final HR round assesses cultural fit, communication abilities, and discusses compensation. Overall difficulty is moderate; thorough preparation on SAP master data concepts and strong analytical fundamentals greatly improve chances.

Randstad Enterprise promotes a supportive work culture that values continuous upskilling and cross‑functional collaboration. Employees enjoy a balanced workload with opportunities to work on high‑impact projects across multiple manufacturing domains, fostering both professional growth and work‑life harmony.

Graduates with a minimum of 85% or 8.5 CGPA in both UG and PG. Eligible degrees: B.E./B.Tech in Mechanical or Industrial Engineering, or MBA/Masters in Operations, Supply Chain, or Industrial Management (if undergraduate is non‑technical). No active backlogs; a maximum of one backlog allowed in the final year, cleared before joining. Candidates from the 2022‑2025 batches are preferred, but fresh graduates are also welcome.

Round 1: Online Aptitude Test → Round 2: Technical Interview (SAP & Data Governance) → Round 3: HR Interview (cultural fit and compensation discussion)

Randstad Enterprise is a leading global workforce solutions provider with a strong presence in India. The company partners with top manufacturers in the semiconductor, automotive, and heavy‑manufacturing sectors to deliver talent that drives operational excellence. With a focus on technology‑enabled staffing, Randstad helps its clients build resilient supply chains, improve data integrity, and accelerate digital transformation across their ERP landscapes. The organization prides itself on a collaborative culture, continuous learning, and a commitment to ethical hiring practices, making it an attractive platform for fresh graduates and early‑career professionals. In this role, you will join a specialized Supply Chain Governance team that is responsible for the stewardship of global master data within SAP/ERP systems. As a Master Data Analyst, you will act as the guardian of critical supply‑chain information, ensuring that data is accurate, consistent, and compliant with the company’s Master Data Governance (MDG) framework. You will work closely with cross‑functional stakeholders—including procurement, logistics, production planning, and IT—to streamline data processes, resolve anomalies, and support large‑scale data migration initiatives. The position offers exposure to end‑to‑end supply‑chain operations in a high‑tech manufacturing environment, providing a solid foundation for a career in data analytics and supply‑chain management. Key Responsibilities: 1. Maintain and govern global supply‑chain master data in SAP/ERP, adhering to MDG policies and SOPs. 2. Conduct regular data quality audits, identify duplicates, inconsistencies, and perform root‑cause analysis. 3. Develop and monitor KPI dashboards to track data accuracy, completeness, and timeliness. 4. Automate repetitive data‑maintenance tasks using Excel macros, VBA, or SAP scripting to improve efficiency. 5. Support data migration projects, including data extraction, transformation, loading (ETL), and post‑go‑live validation. 6. Collaborate with functional teams to define data standards, naming conventions, and validation rules. 7. Create and update documentation such as SOPs, data dictionaries, and governance guidelines. 8. Participate in system testing cycles, user acceptance testing (UAT), and issue resolution. 9. Provide training and guidance to business users on data entry best practices and governance tools. 10. Continuously propose process improvements to reduce manual effort and enhance data reliability. Tech Stack & Tools: SAP ECC / S/4HANA, SAP MDG, Advanced Microsoft Excel (pivot tables, Power Query, VBA), SQL basics for data extraction, Power BI/Tableau for reporting, and familiarity with workflow automation tools. Growth Path: Starting as a Master Data Analyst, you can progress to Senior Data Analyst, Data Governance Lead, or Supply‑Chain Analytics Manager. The role also opens pathways to broader analytics positions such as Business Analyst, Operations Analyst, or SAP Functional Consultant, depending on your interests and additional certifications. Why Join Randstad Enterprise? You will gain hands‑on experience with industry‑leading ERP systems in a fast‑growing manufacturing context, receive mentorship from seasoned supply‑chain professionals, and benefit from a structured learning environment that encourages certification and skill development. The role offers a balanced mix of analytical rigor and stakeholder management, making it an ideal launchpad for a data‑driven career.