Commercial Data & Insights Analyst - Bracco Diagnostics Inc.

Bracco•Princeton, FL

2d•Hybrid

About The Position

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. This role offers the opportunity to work on analytics that directly support commercial strategy and omnichannel execution, collaborate with cross-functional partners in a modern data environment, and deliver insights that move beyond reporting to measurable business impact. The team values clarity, rigor, and practical, decision-ready analytics.

Requirements

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

Nice To Haves

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

Responsibilities

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