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Senior Business Intelligence Developer

Job in 411001, Pune, Maharashtra, India
Listing for: ArcelorMittal Global Business & Technologies
Full Time position
Listed on 2026-02-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Arcelor Mittal is one of the world's leading integrated steel and mining companies, with operations in 60 countries and primary steelmaking facilities in 15 countries. With a global workforce of 125,416 employees, Arcelor Mittal is the largest steel producer in Europe, a major player in the Americas, and continues to expand its footprint in Asia through its joint venture, AM/NS India.
AMGBT India unites engineers, product leaders, data scientists, and program managers to create lasting impact from predictive maintenance to real-time operations. Innovation and curiosity are part of our culture. If you're passionate about making an impact in advanced technology, engineering, product, or delivery, this is where your journey begins.

Senior BI Developer – Data Visualization (Finance Domain)

Role and purpose:  The Senior BI Developer is responsible for the full BI lifecycle, including design, implementation, and continuous improvement of business intelligence solutions across departments, emphasizing Microsoft Modern Analytics stack expertise and business value delivery.

Key responsibilities:

These include business requirement analysis, backend architecture design using Microsoft Fabric, data integration and security, development of Power BI dashboards and reports, user experience design for self-service analytics, and performance optimization of BI solutions.
Behavioral competencies:  Important skills include design thinking, technical collaboration, customer focus, attention to detail, problem-solving, and continuous learning and innovation to maintain BI excellence.
Technical competencies and requirements:  Expertise required spans Power BI, Microsoft Fabric, Azure Data Lake, Power Platform, data modeling, and scripting languages (T-SQL, PySpark, Python). Candidates should hold a relevant master's degree, have 6-8 years of experience, and possess certifications like Microsoft Certified:
Data Analyst Associate. Strong communication and commitment to professional development are also expected.
Finance domain experience (Must have)
Position Requirements
10+ Years work experience
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