BI Analytics Engineer

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🗽 New York, Pennsylvania – Remote

🗽 New York – Remote 🔔 Pennsylvania – Remote

💵 $77.8k - $194.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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IQVIA

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏭 Manufacturing

📣 Marketing

💰 $1G Post-IPO Debt on 2023-05

Consulting • Manufacturing • Marketing

IQVIA is a global leader in data analytics and technology solutions, dedicated to improving health outcomes. The company utilizes its Connected Intelligence platform to harness the power of advanced data analytics and artificial intelligence, facilitating innovation in healthcare. IQVIA focuses on various areas, including clinical research, technology, and consulting services to solve complex healthcare challenges and accelerate the delivery of new therapies to patients.

📋 Description

• Design, develop, and maintain semantic data models, including facts, dimensions, hierarchies, relationships, and business metrics • Establish foundational architecture, standards, and patterns for scalable enterprise reporting and analytics • Partner with BI developers, analysts, and stakeholders to translate analytical requirements into reusable data structures • Define and implement dimensional modeling, slowly changing dimensions, historical data management, and conformed-dimension standards • Establish and maintain business-friendly semantic layers for complex healthcare and product datasets • Collaborate with software engineering, data platform, data engineering, and business teams on model and architecture alignment • Operationalize approved metric definitions and business rules in semantic models • Evaluate and optimize model performance, scalability, and usability for dashboards and self-service analysis • Participate in data architecture discussions and advise on reporting, analytics, and data consumption decisions • Validate data quality and model integrity through testing and monitoring • Support governance standards for data definitions, metric calculation, documentation, and semantic-layer usage • Advise analytics initiatives on long-term scalability and maintainability • Extend analytical data models and curated datasets for self-service analytics, AI-assisted data exploration, and emerging data consumption patterns

🎯 Requirements

• Bachelor's Degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent experience • 5+ years of experience in analytics engineering, business intelligence engineering, data modeling, data architecture, or a related field • Strong experience designing and implementing dimensional data models, fact and dimension tables, star schemas, and semantic layers • Understanding of data warehouse concepts, slowly changing dimensions, historical tracking, surrogate keys, and data lineage • Experience developing and optimizing models for business intelligence and self-service analytics • Proficiency in SQL and experience with large, complex datasets • Experience with modern cloud data platforms such as Snowflake, BigQuery, Redshift, Synapse, or Databricks • Experience optimizing analytical data structures for performance, scalability, and self-service consumption • Experience translating analytical requirements into scalable technical solutions with business stakeholders • Strong understanding of data governance, metric standardization, and analytical best practices • Experience collaborating with software engineering, data engineering, and analytics teams • Ability to balance technical design with business usability and accessibility requirements • Strong written and verbal communication skills for technical and non-technical audiences • Experience with healthcare data, product data, or other complex domain-specific datasets preferred • Experience supporting Power BI or Tableau semantic models, tabular models, or equivalent BI technologies preferred

🏖️ Benefits

• Health and welfare benefits • Incentive plans, bonuses, and/or other forms of compensation may be offered