Business Intelligence Professional

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

Job summary

Siemens Mobility seeks a Business Intelligence Professional (Power BI Expert) to drive analytics and reporting within Supply Chain & Logistics. You will bridge IT and business teams, translating requirements into scalable data solutions and improving the reporting landscape.

The role requires Power BI mastery, DAX, data modeling, and security controls like RLS/OLS, with hands-on experience in automating reporting and dashboards. Collaborate across functions in a fast-paced environment.

Qualifications

• 2–5 years of analytics, dashboard development, and reporting.
• Bridge between IT and Supply Chain/Logistics stakeholders, understanding requirements.
• Strong experience in DAX, data modeling, semantic models, and report performance optimization.
• Knowledge 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.
• Exposure to modern analytics architectures, cloud-based reporting solutions, and enterprise data platforms.

Responsibilities

• Develop Power BI dashboards and reports for Supply Chain & Logistics.
• Bridge IT and business stakeholders; translate requirements into scalable analytics.
• Enhance reporting landscape; optimize dashboards for usability and performance.
• Implement security controls including RLS/OLS and access management.
• Ensure data quality and governance across reporting solutions.
• Collaborate with cross-functional teams to deliver insights.

Skills

Power BI

DAX

Data modeling

Semantic models

RLS

OLS

Power Automate

Dashboard design

Stakeholder mgmt

Analytics thinking

Education

IT/CS Engineer

Tools

Snowflake

Tableau

Celonis

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.