Hybrid Data & Insights Analyst — Omnichannel Impact

Bracco Medical Technologies

Princeton (NJ)

Hybrid

USD 85,000 - 115,000

Full time

14 days+

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

Bracco Diagnostics Inc. is seeking a Commercial Data & Insights Analyst to lead data-driven insights and process improvements.

You will partner with regional and global teams to refine analytical pipelines, validate outputs, and translate complex data into actionable insights that support omnichannel initiatives. The role focuses on omnichannel effectiveness, sales performance, and customer engagement, delivering dashboards and reports that inform decisions, drive measurable impact, and promote

Qualifications

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 (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.

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 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.