Commercial Data & Insights Analyst

The Commercial Data & Insights Analyst leads the identification, development, and delivery of data‑driven insights and process improvement solutions. In this role, the individual will partner closely with regional and global business and technical teams to refine analytical pipelines, validate outputs, and translate complex data into actionable insights.

The Commercial Data & Insights Analyst will support commercial use cases, including omnichannel effectiveness, sales performance, and customer engagement, and play a key role in enabling data‑informed decision‑making across the organization.

Why This Role

• Work on analytics that directly support commercial strategy and omnichannel execution
• Collaborate with cross‑functional partners in a modern data environment
• Deliver insights that move beyond reporting to measurable business impact
• Join a team that values clarity, rigor, and practical, decision‑ready analytics

Main Responsibilities, Activities, Duties and Tasks

• Extract, clean, and structure data from multiple sources, including CRM systems, Databricks, and internal data pipelines
• Support Next Best Action (NBA) analytics, including feature analysis, performance monitoring, recommendation uptake, and outcome measurement
• Validate NBA outputs, monitor data drift, and ensure recommendations align with business and clinical context
• Conduct quantitative analyses to identify trends, patterns, and opportunities for improvement across commercial datasets
• Build, maintain, and enhance dashboards and recurring reports to track KPIs and business performance across channels
• Analyze performance across multiple channels (e.g., field, digital, marketing) to support omnichannel measurement and optimization
• Collaborate with data engineers and business stakeholders to ensure analytical outputs align with business needs and priorities
• Document analytical workflows, assumptions, and methodologies to support reproducibility, data quality, and scalability
• Prepare and present stakeholder‑ready materials, including dashboards, reports, and summaries that clearly communicate insights and recommendations to non‑technical audiences
• Independently manage analytics projects from problem definition to recommendations

Supervisory Responsibilities

• No direct supervisory responsibilities

Education

• Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field

Professional Experience, Knowledge & Technical Skills

Professional Experience

• 3-5 years of experience in data analysis, analytics, data science, or a related role
• Experience working with structured data, SQL, and cloud‑based analytics environments (e.g., Databricks)
• Hands‑on Python experience for data manipulation, analysis, and automation
• Experience in commercial, customer, or omnichannel analytics is a strong plus
• Experience with Machine Learning pipelines or model validation practices (e.g., output validation, parameter tuning, model drift monitoring) is preferred

Knowledge & Technical Skills

• Python and SQL for data extraction, transformation, and analysis
• Experience with Databricks, including running, adapting, and scheduling notebooks or jobs
• Strong understanding of data quality, validation, and analytics best practices
• Data visualization experience using tools such as Power BI, Tableau, or similar platforms
• Strong communication skills, with the ability to translate complex analyses into clear, actionable insights
• Comfortable presenting findings to non‑technical stakeholders and tailoring messages to different audiences
• Collaborative mindset with the ability to work effectively across technical and business teams

Core Capabilities

• Strong analytical and problem-solving skills
• Ability to synthesize data into meaningful business insights
• Effective stakeholder communication and presentation skills
• Attention to detail and commitment to data quality
• Ability to manage multiple priorities in a fast-paced environment
• Collaborative and team-oriented approach

Soft Skills – Company Values & Behaviours

Adhere to the Bracco’s core values, including:

• Passion: Connecting People and Networking; Be Yourself
• Extraordinary: Leading People and Delegation; Courage
• Continuous Evolution: Insight and Learning Agility; Digital and Technology Orientation
• Sustainability: Long-Term Value Creation; Accountability

Core Relationships

• Internal business partners and end-users across Marketing, Sales, and Commercial Operations
• Global Marketing and Digital Operations teams
• IT stakeholders
• External vendors, consultants, or analytics partners as applicable

Certificates, Licenses, Registrations

• Certifications in Databricks, cloud platforms, or data engineering are a plus but not required

Physical Demands

• The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• Approximately 10% domestic travel required

Work Environment

• The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• The position is based in the home-office in Princeton, New Jersey.
• Hybrid work arrangement with three days in-office and two days remote.

Bracco Diagnostics Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, or any other protected status.