Supply Chain Analytics Engineer at Bosch Group

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 May, 26

Salary

0.0

Posted On

04 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Power BI, Power Automate, Data Integration, Data Governance, Analytics, Cloud Platforms, Data Engineering, Communication, Collaboration, Problem Solving, Automation, Data Quality, Master Data Management, DAX

Industry

Software Development

Description

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. Legal Entity: Bosch Global Software Technologies Private Limited

Responsibilities

The role involves designing, integrating, and maintaining logistics data pipelines and BI solutions to improve operational efficiency. It also includes generating insights and supporting decision-making for supply chain leadership.