Company Description

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.

Job Description

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.

Qualifications

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.