Lead Analyst, Commercial Data – AI

🔥 0 minutes ago

🐊 Florida, New Jersey, +2 more states – Remote

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💵 $94k - $151.8k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

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Logo of Johnson & Johnson

Johnson & Johnson

10,000+ employees

Founded 1886

🏥 Healthcare

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Healthcare • Healthcare Insurance • Pharmaceuticals

Johnson & Johnson is a multinational corporation focused on innovating across multiple sectors of healthcare and medicine. With a commitment to redefining healthcare, the company merges science and technology to address complex diseases through its divisions in innovative medicine and medical technology. Its areas of focus include oncology, immunology, neuroscience, and specialty ophthalmology, as well as interventional solutions and orthopaedics. J&J is dedicated to advancing global health equity and environmental sustainability while fostering innovation, diversity, and inclusion in the workplace. The company strives to provide solutions that connect health and care for providers, patients, and communities worldwide.

📋 Description

• Support end-to-end analytical and AI enablement for DePuy Synthes global Commercial systems and operations • Build and govern source-of-truth customer datasets, data definitions, quality monitoring, and reproducible logic • Monitor and improve data accuracy, completeness, and consistency across systems • Prototype and evaluate generative AI use cases with guardrails, human validation, and measurement • Partner on analytics intake and prioritization for CRM and Commercial platforms • Translate ambiguous business questions into hypotheses, analytical plans, and deliverables • Define and standardize KPI frameworks and develop clean, usable data models • Communicate data structure insights to leaders and cross-functional partners • Ensure compliance with data privacy, consent, security, and AI governance policies • Identify bias and fairness risks and propose mitigations • Coach analysts on analytical rigor, SQL best practices, and experimentation

🎯 Requirements

• 5+ years of experience in analytics, data science, or marketing/customer analytics, including hands-on CRM/lifecycle measurement • Advanced SQL skills, including complex joins, window functions, and CTEs • Experience working with large-scale, complex datasets • Hands-on experience with Alteryx Designer to build, automate, and optimize end-to-end data workflows • Ability to clean, blend, and transform large, complex datasets from multiple sources • Strong knowledge of Orthopaedics products, procedures, and customer profiles • Experience translating business questions into hypotheses, analytical approaches, and recommendations on optimal data structure • Ability to partner effectively with cross-functional stakeholders and influence without direct authority • Knowledge of CRM data privacy concepts, including consent, suppression, and PII handling • Excellent written and verbal communication skills; ability to create executive-ready materials • Preferred: experience with Salesforce Life Science Cloud, Marketing Cloud, Movemedical, Tableau Server, Reltio, AWS, Snowflake, SAP, Redshift, Databricks, customer identity resolution, attribution, GenAI solutions, Power BI, Tableau, and semantic modeling

🏖️ Benefits

• Retirement plan (pension) • Savings plan (401(k)) • Long-term incentive program • Vacation – 120 hours per calendar year • Sick time – 40 hours per calendar year; Colorado residents – 48 hours per calendar year; Washington residents – 56 hours per calendar year • Holiday pay, including Floating Holidays – 13 days per calendar year • Work, Personal and Family Time – up to 40 hours per calendar year • Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child • Bereavement Leave – 240 hours for an immediate family member; 40 hours for an extended family member per calendar year • Caregiver Leave – 80 hours in a 52-week rolling period • Volunteer Leave – 32 hours per calendar year • Military Spouse Time-Off – 80 hours per calendar year

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