Hybrid Data Analyst: Commercial Insights & Dashboards

Fresenius Kabi; Lake Zurich (IL); Hybrid; USD 65,000 - 85,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Life insurance

401K with company contribution

Wellness program

Job summary

Fresenius Kabi seeks a Business Data Analyst to support commercial excellence by gathering, analyzing, and interpreting internal and external data to generate actionable insights for business decisions.

The role partners with sales, marketing, contracting, and cross-functional teams to identify trends, develop dashboards, and deliver high-quality analytical deliverables in a hybrid Lake Zurich, IL setting. Salary ranges and comprehensive benefits accompany this critical analytics function.

Qualifications

• Bachelor's degree required (Advanced degree is a plus).
• 3-5 years of relevant experience (preferably in healthcare or related industry).
• Proficiency in analytics tools such as Qlik, Snowflake, Salesforce, SAP, Power BI, SQL, Python, or R.

Responsibilities

• Analyze commercial, operational, and market data to identify trends, patterns, opportunities, and risks that support strategic and tactical decision-making.
• Develop and manage reporting templates, dashboards, and visualizations to communicate insights clearly to commercial teams.
• Ensure the quality, accuracy, and business readiness of analytical outputs, including validation of data and results before dissemination.
• Support commercial data governance best practices to maintain consistency and integrity of analytical outputs.
• Conduct advanced analytics to support performance measurement, brand planning, sales effectiveness, promotional evaluation, and segmentation.
• Prepare and present actionable commercial insights, supporting leadership with recommendations that address market dynamics and competitive landscapes.
• Analyze forecast accuracy, KPIs, call and sample data, and other performance metrics to identify drivers of commercial outcomes.
• Partner with internal stakeholders including sales, marketing, contracting, finance, and IT to understand analytical needs and deliver tailored solutions.
• Support business unit stakeholders by translating analytics into business cases, executive summaries, and strategic recommendations.
• Collaborate with data, CRM, and BI teams to improve data workflows, reporting processes, and system integrations.
• Identify process improvement opportunities and propose solutions to enhance efficiency, data quality, and analytical capability.
• Participate in user acceptance testing (UAT) for reporting tools and analytics systems, ensuring solutions function as intended.
• Support enhancements to commercial data structures and reporting platforms to align with evolving business requirements.
• Communicate complex analytical findings verbally and in writing to both technical and non-technical stakeholders.
• Document analytical processes, assumptions, and methodologies to ensure reproducibility and continuity.
• Assist with preparing presentations for leadership reviews, business reviews, and strategic planning sessions.
• Support strategic initiatives related to commercial operations, product launches, and cross-functional projects.
• Conduct ad-hoc analyses and scenario modeling to evaluate business decisions, pricing impacts, market entry, and promotional strategies.

Skills

Data analysis

Dashboards

Cross-functional collaboration

Communication skills

Time management

Attention to detail

Education

Bachelor's degree

Tools

Qlik

Snowflake

Salesforce

SAP

Power BI

SQL

Python

R

Job description

Fresenius Kabi seeks a Business Data Analyst to support commercial excellence by gathering, analyzing, and interpreting internal and external data to generate actionable insights for business decisions.

The role partners with sales, marketing, contracting, and cross-functional teams to identify trends, develop dashboards, and deliver high-quality analytical deliverables in a hybrid Lake Zurich, IL setting. Salary ranges and comprehensive benefits accompany this critical analytics function.