Lead Analyst, Commercial Data & AI

Accountabilities: • Data strategy and governance: Build and maintain trusted customer data assets in collaboration with Data Strategy teams, establish source-of-truth datasets and standardized definitions, document analytical logic, and ensure reproducibility.

• Data quality and integrity: Monitor, assess, and improve data accuracy, completeness, and consistency across commercial systems and multiple data sources.

• Commercial analytics and measurement: Develop standardized KPI frameworks, create reliable data models, and deliver actionable insights that support lead generation, opportunity management, customer engagement, and commercial execution.

• Generative AI enablement: Prototype, test, and evaluate generative AI applications, including personalized message generation, subject-line testing, content summarization, and agent-assistance solutions, with appropriate safeguards, human validation, and performance measurement.

• Stakeholder collaboration: Partner with Marketing, Sales, Product, and Data Strategy teams to prioritize analytical requests, translate ambiguous business questions into structured hypotheses, and deliver clear recommendations and practical solutions.

• Responsible data and AI practices: Ensure adherence to data privacy, consent management, security, and AI governance requirements while identifying potential bias and fairness risks and implementing appropriate mitigation measures.

• Technical leadership and mentorship: Guide and coach analysts on analytical rigor, advanced SQL practices, experimentation, data quality, governance, and reproducible workflows.

Requirements:

• At least 5 years of experience in analytics, data science, marketing analytics, or customer analytics, including hands-on experience with CRM and lifecycle measurement.

• Advanced SQL proficiency, including complex joins, common table expressions (CTEs), window functions, and the ability to work with large, complex datasets.

• Proven hands-on experience with Alteryx Designer to develop, automate, and optimize end-to-end data workflows.

• Strong capabilities in data cleaning, blending, transformation, and integration across multiple sources.

• Solid knowledge of orthopaedics products, clinical procedures, and relevant customer profiles.

• Demonstrated ability to translate business needs into analytical hypotheses, appropriate methodologies, clear recommendations, and effective data structures.

• Strong stakeholder management and collaboration skills, with the ability to influence decisions without direct authority and communicate effectively across functions.

• Knowledge of CRM-related data privacy principles, including consent management, suppression rules, personally identifiable information (PII), and data governance controls.

• Excellent written and verbal communication skills, including the ability to present complex findings through clear, executive-ready materials.

• Strong analytical problem-solving abilities, commercial awareness, systems thinking, and a commitment to responsible AI and data-driven decision-making.

Preferred qualifications:

• Experience with CRM and commercial platforms such as Salesforce Life Sciences Cloud, Marketing Cloud, Movemedical, or Tableau Server.

• Familiarity with cloud data platforms and data warehouses, including Reltio, AWS, Snowflake, SAP, Amazon Redshift, or Databricks.

• Experience with customer identity resolution, attribution methodologies, and commercial performance measurement.

• Practical experience evaluating or implementing generative AI solutions, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and AI safeguards.

• Knowledge of business intelligence tools such as Power BI or Tableau, along with semantic data modeling.

• Experience mentoring analysts, improving analytical workflows, and promoting data governance and operational excellence.

Benefits:

• Competitive compensation: Anticipated annual base salary ranging from $94,000 to $151,800 , depending on applicable factors and the terms of the compensation program.

• Remote work flexibility: Fully remote position within the United States, with the opportunity to work from an eligible U.S. location.

• Retirement benefits: Eligibility to participate in a retirement pension plan and a 401(k) savings plan, subject to the applicable plan terms.

• Long-term incentives: Eligibility to participate in a long-term incentive program.

• Paid vacation: 120 hours per calendar year, subject to applicable policies and eligibility requirements.

• Paid sick leave: 40 hours per calendar year, with higher allowances for eligible employees in certain states, including Colorado and Washington.

• Paid holidays: 13 days per calendar year, including floating holidays.

• Work, personal, and family time: Up to 40 hours per calendar year.

• Parental leave: 480 hours within one year of the birth, adoption, or foster placement of a child.

• Bereavement leave: Up to 240 hours for an immediate family member and 40 hours for an extended family member per calendar year, subject to applicable policies.

• Caregiver leave: Up to 80 hours within a rolling 52-week period.

• Volunteer leave: 32 hours per calendar year.

• Military spouse time off: 80 hours per calendar year.

• Inclusive workplace: An equal-opportunity employment environment committed to diversity, accessibility, and reasonable accommodations throughout the recruitment process.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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