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Veranova

Data Analytics & AI Solutions Engineer

Veranova

Data Analytics & AI Solutions Engineer advancing data and analytics capabilities in a rapidly scaling CDMO environment. Responsible for designing and maintaining Power BI dashboards, and supporting early AI use cases.

Posted 7/8/2026full-timeRemote • Massachusetts, New Jersey, Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $130,000 per yearWebsite

Tech Stack

Tools & technologies
AzureCloudETLPythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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.

ATS Keywords

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Hard Skills & Tools
Data AnalyticsPower QueryCloud AnalyticsAI ConceptsETL FrameworksData TransformationKPI StandardizationIncremental RefreshScriptingData Pipeline Development
Soft Skills
Stakeholder Communication
Certifications
Bachelor’s Degree