Data Analytics & AI Solutions Engineer
Posted 2 days ago
Posted 2 days ago
This is a fully remote position, open to applicants in New Jersey, +2 more states.
• Create, develop, and sustain high-quality Power BI dashboards, KPI scorecards, and data models.
• Convert business requirements into well-organized analytical solutions across manufacturing, supply chain, quality, finance, and commercial sectors.
• Ensure consistency and global alignment regarding metrics, definitions, and UI/UX standards.
• Enhance Power BI performance, including DAX calculations, data modeling, and incremental refresh strategies.
• Collaborate with business process owners to facilitate self-service analytics.
• Extract, model, and transform data from various global systems.
• Assist in the development of data pipelines for analytics and reporting purposes.
• Maintain data quality and reliability throughout reporting ecosystems.
• Aid in identifying and defining early AI use cases.
• Configure and support AI tools such as copilots and embedded SaaS AI solutions.
• Ensure the safe and compliant use of AI in collaboration with IT Security.
• Provide training and documentation for tools enabled by AI.
• Bachelor’s degree in a relevant discipline.
• 3–7 years of experience in data analytics or BI.
• Proficient in Power BI, DAX, Power Query, and data modeling.
• Experience with enterprise-level data sources.
• Familiarity with SQL and cloud analytics, preferably Azure.
• Knowledge of data governance and standardization of KPIs.
• Strong communication skills with stakeholders.
• Preferred experience in the CDMO or pharmaceutical industry.
• Exposure to AI concepts or tools is a plus.
• Preferred experience with Python or similar scripting languages.
• Familiarity with APIs and ETL frameworks is desirable.
• Comprehensive health and wellness benefits.
• Access to mental health resources and wellness programs.
• Generous policies for PTO and holiday pay.
• Competitive base salary.
• Eligibility for performance-based bonuses.
• Attractive 401(k) plan with company matching.
• Opportunities for ongoing learning through LinkedIn Learning, workshops, conferences, and mentorship.
• Tuition assistance for undergraduate and graduate degree programs.
• An inclusive culture that welcomes diverse experiences and perspectives.
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