Job Description & How to Apply Below
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.
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