Data Analyst

Randstad; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Lonza is seeking a Manager, Supply Chain Value & Insights to drive data infrastructure, automation-first tools, and predictive models for global supply chain operations. You will consolidate data, build dashboards in Power BI, and translate complex business needs into technical solutions.

This role emphasizes cross-functional collaboration, data engineering, and advanced analytics to enable data-driven decisions in a global setting.

Qualifications

• Bachelor's degree in a technical discipline as listed.
• 5–10 years of professional BI, data modeling or data science analytics.
• Advanced proficiency in SQL, Python or R, and Power BI.
• Experience extracting data from ERP systems, SAP BW.
• Strong business English communication skills.

Responsibilities

• Consolidate Global Supply Chain data and build dashboards in Power BI.
• Develop data pipelines using SQL, Python, and R across cloud environments and SAP.
• Identify use cases and implement predictive analytics and automation tools.
• Translate business requirements into technical solutions for stakeholders.
• Design QA workflows and SOPs to reduce reporting waste.

Skills

Power BI

SQL

Python

R

Data analytics

Data modeling

Stakeholder communication

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, Statistics

Tools

Power BI

SQL

Python

R

SAP ERP/BW

Job description

This is going to be a contractual role for 1 year + 1 year (Extendable)

Preferred: Immediate joiners or currently serving notice with less than 20 days

Location: Hyderabad (located in Hyderabad only)

About the Role

Are you a data professional who bridges the gap between complex coding and real-world business strategy? Do you know how to extract messy corporate data, build predictive algorithms, and turn those models into beautiful, executive-ready dashboards?

Lonza is seeking a Manager, Supply Chain Value & Insights to serve as the digital engine driving our Global Supply Chain function. Sitting at the intersection of Supply Chain Operations, Corporate Leadership, and IT, you will build the next generation of data infrastructure, automation-first tools, and predictive models that empower our global networks to operate at a world-class level.

What Youll Do (Key Accountabilities)

• Advanced Analytics & Visualization: Consolidate Global Supply Chain data to bring end-to-end transparency to demand forecasting, logistics, and warehouse management. Build, scale, and maintain interactive dashboards using Power BI.
• Data Engineering & Modeling: Write custom scripts and execute data pipelines utilizing SQL, Python, and R across cloud environments and enterprise infrastructures (SAP ERP/BW).
• Next-Gen Innovation: Scout the market for emerging digital capabilities. Identify use cases and implement advanced tools across our operating model, integrating Predictive Analytics, AI, Machine Learning, and automation tools.
• Stakeholder Management: Act as "The Translator"gathering complex business requirements from supply chain leaders and turning them into fit-for-purpose technical solutions, while running department-wide training for system adoption.
• Process Optimization: Identify structural bottlenecks, clean up legacy data pipelines, design rigorous testing/QA workflows, and draft standard operating procedures (SOPs) to continually eliminate reporting waste.

Who You Are (Must-Have Qualifications)

• Education: Bachelors degree in Computer Science, Information Technology, Engineering, Statistics, or a closely related technical discipline.
• Experience: 5 to 10 years of professional track record in advanced business intelligence, data modeling, or data science analytics.
• The Technical Stack: Advanced proficiency in SQL, Python, or R, alongside extensive hands-on experience building semantic models and dashboards inside Power BI.
• System Fluency: Strong familiarity extracting data out of enterprise ERP systems, specifically SAP (ERP, BW).
• Communication: Business-fluent English skills with an innate ability to explain complex statistical models to non-technical stakeholders.

What Will Make You Stand Out (Good-to-Have)

• Direct analytical experience within the Pharmaceutical, Life Sciences, or Global Supply Chain/Logistics industries.
• Hands-on experience deploying time-series forecasting models or Machine Learning algorithms in production corporate environments.
• Familiarity with tools like Snowflake, Databricks, Alteryx, SAS, or SAP Analytics Cloud.
• Professional proficiency in German or French.