Supply Chain Analytics Engineer

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Roles & Responsibilities :

1.     Position & Objective

Design, integrate, and maintain logistics data pipelines and BI solutions to deliver actionable insights, automate reporting, and coordinate analytics & visualization initiatives with Supply chain stakeholders, and Bosch plants to improve cost, service, and operational efficiency. 

2.     Key Responsibilities

2.1.  Data Integration & Pipeline Management

• Integrate logistics data from LSP systems, internal IT platforms, and Bosch plants using automated and scalable pipelines.
• Monitor pipeline health, latency, and failures; perform root-cause analysis and fixes.
• Manage data refresh schedules, historical backfills, and structural changes in source systems.

2.2.  BI Development & Automation

• Design and develop Power BI dashboards aligned with SCM KPIs, operational reviews, and management reporting.
• Automate data refreshes, alerts, and report distributions using Power Automate and Python.
• Optimize data models, DAX calculations, and performance for large logistics datasets.

2.3.  Insight Generation & Decision Support

• Translate analytical findings into clear, actionable recommendations for SCM leadership.
• Support network optimization initiatives such as milk runs, rental models, and round-trip analysis.

2.4.  Data Governance & Quality Monitoring

• Define and enforce data standards, master data definitions, and KPI logic across reports.
• Implement data quality checks, reconciliation controls, and audit trails for logistics data.
• Document data flows, transformations, and assumptions to ensure transparency and continuity.

Requirements & Qualifications

Educational Qualifications

• Bachelor’s degree (B.E. /B.Tech) in Computer Science, Data Analytics, Information Systems, or related engineering disciplines.
• Specialization or coursework in Supply Chain Management, Logistics, or Operations Analytics is preferred.
• Equivalent professional certifications or relevant industry experience may be considered in lieu of specialization.

Professional Qualifications & Skills

Technical & Platform Skills

• SQL: Strong working knowledge of SQL for data extraction, transformation, and performance-optimized querying.
• Python: Proficiency in Python for data processing, automation, and analytics; working knowledge of R is an advantage.
• Power Platform: Hands-on experience with Microsoft Power Platform, including Power BI and Power Automate.
• API’s: Experience integrating data via APIs, including data ingestion, validation, and error handling.

Data Engineering & Cloud

• Understanding of data standards, data modeling, and master data concepts in enterprise environments.
• Experience with cloud data platforms such as Microsoft Azure and Snowflake for analytics workloads.
• Familiarity with data pipelines, storage layers, and secure access management.

Analytics & Digitalization

• Strong analytical thinking, ability to translate business and supply chain problems into scalable analytical solutions.

Communication & Collaboration

• Strong communication skills to engage effectively with SCM teams, Internal IT, Bosch plants, and LSP partners.
• Ability to explain technical concepts clearly to non-technical stakeholders.
• Proven capability to work collaboratively in cross-functional, multi-stakeholder environments.

Mindset & Ownership

• High level of initiative with an innovative, problem-solving mindset. Willingness to challenge manual processes and drive automation-first thinking.
• Strong sense of ownership, accountability, and continuous improvement.