Business Intelligence Engineer

🔥 3 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Business Intelligence Developer

👻 Ghost score 10%

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Logo of Danaher Corporation

Danaher Corporation

10,000+ employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Danaher Corporation is a leading global life sciences and diagnostics innovator that develops and supplies instruments, technologies, software, and services to accelerate scientific research, biotechnology development, and clinical diagnostics. The company operates through businesses focused on biotechnology tools, diagnostics platforms, and life sciences products, leveraging the Danaher Business System and an acquisition-driven strategy to scale technologies and support customers across academia, pharmaceutical and biotech companies, and clinical laboratories.

📋 Description

• Design, develop, and maintain reporting and analytics solutions using Microsoft Fabric, Power BI, and modern cloud analytics platforms • Build and optimize semantic models, measures, and KPIs supporting business and operational decision-making • Partner with business stakeholders to translate complex business requirements into intuitive dashboards, reports, and actionable insights • Collaborate with data engineering teams to define semantic models and analytics data products • Explore innovative approaches for analytics applications using Streamlit, Fabric, and emerging AI-enabled reporting capabilities • Report to the Sr. Director - Data Engineering as part of the Enterprise Data Engineering team

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field (or equivalent experience) • 5+ years of experience developing enterprise reporting, business intelligence, or analytics solutions • Advanced experience with Microsoft Fabric and Power BI, including semantic models, DAX, Power Query, Row-Level Security (RLS), and Fabric analytics capabilities • Strong understanding of dimensional modeling, star schemas, and analytics data modeling principles • Experience gathering requirements and partnering directly with business stakeholders to define KPIs and reporting solutions • Proficiency in SQL • Experience analyzing data from modern cloud-based data platforms • Preferred: experience with Snowflake and modern cloud data warehouse platforms • Preferred: experience with Streamlit or similar tools for building interactive analytics applications • Preferred: data engineering technologies such as Python, PySpark, Fabric Notebooks, and ETL/ELT pipelines

🏖️ Benefits

• Comprehensive, competitive benefit programs • Health care program • Paid time off

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