Business Intelligence Professional

Siemens Mobility; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Siemens Mobility is seeking a highly motivated Business Intelligence Professional with Power BI expertise to drive analytics and reporting across Supply Chain & Logistics in Mumbai. You will translate business needs into scalable data solutions, build robust dashboards, and optimize data models for fast, accurate insights.

Engage with IT and business stakeholders, implement security and governance, and continuously enhance reporting landscapes.

Qualifications

• Advanced Power BI development, analytics, and reporting experience.
• Bridge IT and Supply Chain stakeholders to translate requirements into insights.
• Strong data modeling and performance optimization practices.
• Experience with security models like RLS/OLS and access controls.

Responsibilities

• Provide analytics, dashboards, and reporting within Supply Chain & Logistics.
• Act as bridge between IT and business teams, delivering actionable insights.
• Develop and optimize Power BI reports, data models, and semantic layers.
• Apply best practices in dashboard usability, visuals, and governance.
• Implement row- and object-level security for data access.
• Automate reporting processes using Power Automate.
• Collaborate with cross-functional teams to meet stakeholder needs.
• Monitor data quality and reporting standards across platforms.
• Support performance tuning and data refresh optimization.
• Share insights to drive operational improvements and KPIs.

Skills

Power BI

DAX

Data modeling

Semantic models

RLS/OLS security

Stakeholder management

Analytical thinking

Problem solving

Cross-functional collaboration

Tools

Power Automate

Snowflake

Tableau

Celonis

Direct Lake

Job description

Business Intelligence Professional (Power BI Expert)

Role Overview

We are looking for a highly motivated and self-driven Data Analyst (Power BI Expert) to drive analytics and reporting initiatives within Supply Chain & Logistics. The ideal candidate will act as a key link between business and IT teams, translating business requirements into scalable, data-driven solutions while continuously enhancing the organization's reporting landscape.

Key Responsibilities & Requirements

• Advanced expertise in Power BI with 2-5 years of hands‑on experience in analytics, dashboard development, and reporting.


• Act as a bridge between IT and Supply Chain/Logistics stakeholders, understanding business requirements and delivering actionable insights.


• Strong experience in DAX, data modeling, Semantic Models, Direct Lake, and report performance optimization.


• Good understanding of data relationships (1:1, 1:N) and best practices in data modeling.


• Experience with RLS (Row‑Level Security), OLS (Object‑Level Security), and role‑based access management.


• Hands‑on experience with Power Automate and reporting/process automation solutions.


• Strong knowledge of Supply Chain & Logistics processes, KPIs, and operational analytics.


• Experience or exposure to Snowflake, Tableau, Celonis, or similar analytics platforms is highly appreciated.


• Drive improvements in the overall reporting landscape, including dashboard usability, visualization standards, governance, and user experience.


• Strong understanding of data quality, reporting standards, and business insight generation.


• Collaborate effectively with cross‑functional teams and manage stakeholder expectations across business and technical functions.


• Self‑driven professional with strong analytical thinking, problem‑solving capabilities, and the ability to work independently in a fast‑paced environment.


• Passionate data enthusiast with a continuous learning mindset and eagerness to adopt new technologies and best practices.

Preferred Qualifications

• IT/CS Engineer working in Supply Chain, Logistics, Operations, or related domains.


• Strong communication, stakeholder management, and collaboration skills.


• Exposure to modern analytics architectures, cloud‑based reporting solutions, and enterprise data platforms.