Data Analytics & AI Solutions Engineer

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🔥 12 minutes ago

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Veranova

501 - 1000 employees

Founded 2022

💊 Pharmaceuticals

🧬 Biotechnology

🤝 B2B

Pharmaceuticals • Biotechnology • B2B

Veranova is a global contract development and manufacturing organization (CDMO) that develops and manufactures specialist and complex active pharmaceutical ingredients (APIs) and related technologies for pharmaceutical and biotech customers. Their capabilities include solid form and particle engineering, crystallization and spray drying, analytical and process development, custom API manufacturing (including highly potent APIs and controlled substances), and specialty modalities such as ADC linkers/payloads, PROTACs, peptides, oligonucleotides, and TIDES. Veranova provides development through commercial-scale manufacturing, regulatory and quality support, and lifecycle management for APIs.

📋 Description

• Design, develop, and maintain high-quality Power BI dashboards, KPI scorecards, and data models. • Translate business requirements into well-structured analytical solutions across manufacturing, supply chain, quality, finance, and commercial areas. • Ensure consistency and global alignment on metrics, definitions, and UI/UX standards. • Optimize Power BI performance, including DAX calculations, data modeling, and incremental refresh. • Partner with business process owners to enable self-service analytics. • Extract, model, and transform data from multiple global systems. • Support data pipeline development for analytics and reporting. • Ensure data quality and reliability across reporting ecosystems. • Help identify and scope early AI use cases. • Configure and support AI toolsets such as copilots and embedded SaaS AI. • Ensure safe and compliant AI usage in partnership with IT Security. • Provide training and documentation for AI-enabled tools.

🎯 Requirements

• Bachelor’s degree in relevant field. • 3–7 years’ experience in data analytics or BI. • Strong Power BI, DAX, Power Query, and modeling skills. • Experience with enterprise data sources. • SQL and cloud analytics experience (Azure preferred). • Understanding of data governance and KPI standardization. • Strong stakeholder communication. • CDMO or pharmaceutical industry experience preferred. • Exposure to AI concepts or tools preferred. • Python or similar scripting experience preferred. • Familiarity with APIs and ETL frameworks preferred.

🏖️ Benefits

• Comprehensive health & wellness benefits. • Access to mental health resources and wellness programs. • Generous PTO and holiday pay policies. • Competitive base salary. • Eligibility for performance-based bonuses. • Attractive 401(k) Plan with company match. • Opportunities for continuous learning through LinkedIn Learning, workshops, conferences, and mentorship. • Tuition Assistance for Undergraduate and Graduate degree programs. • Inclusive culture welcoming diverse experiences and perspectives.

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