Associate Data Analyst - Global Procurement & Planning COE

The Revvity interview process typically starts with an online aptitude test lasting 30‑45 minutes, followed by a technical interview focusing on Excel, SQL and data‑visualisation concepts. The final HR round assesses cultural fit, communication skills and motivation. Overall difficulty is moderate; thorough preparation on data‑analytics fundamentals and clear articulation of past projects help candidates succeed.

Round 1: Aptitude & Logical Reasoning test → Round 2: Technical/Data Analytics interview (SQL, Excel, Power BI/Tableau) → Round 3: HR interview (fit and motivation)

Revvity promotes a collaborative and inclusive culture where employees are encouraged to experiment and learn. The company offers structured career growth, flexible work arrangements and a healthy work‑life balance, supported by regular learning programs and mentorship.

Bachelor's degree in Supply Chain, Engineering, Statistics, Business Analytics, Information Technology, Mathematics or related field; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2022‑2025; no active backlogs at the time of joining; internships or project work in data analysis is a plus.

Revvity is a global leader in life sciences, diagnostics and applied genomics, serving more than 190 countries. With a workforce of over 11,000 professionals, the company builds end‑to‑end solutions that help scientists, clinicians and researchers tackle the world’s toughest health challenges. Its portfolio spans newborn screening, oncology, immunology, reproductive health and many other critical domains, making Revvity a trusted partner for hospitals, research labs and biotech firms worldwide. The organization’s culture blends the agility of a disruptive start‑up with the stability of a seasoned industry player, encouraging innovation while maintaining rigorous quality standards. The Associate Data Analyst – Global Procurement & Planning COE will be part of the Customer Operations team, supporting data‑driven decision‑making across order fulfillment, supply chain, logistics and customer care. This early‑career role offers a fast‑track learning curve, exposing the analyst to SAP ECC/S/4HANA, Power BI/Tableau dashboards and cross‑functional collaboration with planning, procurement, manufacturing and logistics teams. The analyst will turn raw operational data into actionable insights that directly influence service levels, inventory health and overall customer satisfaction. Key Responsibilities: 1. Collect, clean, validate and analyse data from SAP ECC/S/4HANA and other enterprise systems. 2. Build and maintain operational dashboards and reports using Power BI or Tableau. 3. Monitor key performance indicators across supply chain, order fulfillment, inventory and customer service. 4. Identify trends, anomalies and improvement opportunities, presenting findings to global stakeholders. 5. Document and map order‑fulfillment and supply‑chain processes in line with Revvity standards. 6. Support root‑cause analysis and recommend corrective actions for process bottlenecks. 7. Ensure data accuracy across reporting databases and assist in SAP data extraction. 8. Participate in digital transformation projects, contributing analytical expertise. 9. Collaborate with planning, procurement, logistics, customer service and manufacturing teams. 10. Stay updated on industry trends, analytics tools and emerging technologies such as AI and automation. Tech Stack: SAP ECC / S/4HANA, Microsoft Excel (Pivot, Power Query, VLOOKUP/XLOOKUP), Power BI, Tableau, SQL (basic), Microsoft Office Suite. Growth Path: Starting as an Associate Analyst, high performers can progress to Senior Data Analyst, Business Intelligence Lead, or Functional Analyst roles within the Global Procurement & Planning COE, eventually moving into managerial positions overseeing analytics strategy for the entire supply‑chain ecosystem. Why Join Revvity? You will work on data that directly impacts patient outcomes and scientific breakthroughs, gain exposure to cutting‑edge life‑science technologies, and develop a robust analytical skill set in a supportive, innovation‑driven environment.