Sr Data Analyst (Finance)

Fresenius Kabi US•Lake Zurich, IL

51d

About The Position

The Sr. Data Analyst focuses on designing and implementing data-driven solutions to enhance efficiency and accuracy within the Customer Financial Services (CFS) department. Responsibilities include developing metrics, KPIs, and dashboards using tools like Power BI, Power Query, and Snowflake to provide actionable insights for senior leadership. The position emphasizes establishing and maintaining data governance standards to ensure data quality, integrity, and consistency across processes. Collaboration with cross-functional teams such as Chargeback, Credit & Collections, Customer Master, and Rebate groups is essential to deliver meaningful reports and support strategic initiatives. Additionally, the role drives alignment with Commercial Excellence to maintain customer data quality and reporting best practices.

Requirements

Bachelor's degree in finance, Mathematics, Computer Science, or 3-5 years of related work experience
5-8 years of Finance, Chargeback, Credit & Collections, Master Data or Rebate experience required.
Expert in Excel/Power Query/Access required
Working SQL knowledge and experience working with relational databases, query authoring (SOL) as well as working familiarity with a variety of databases required.
Comfortable learning and utilizing new tools (Python, Power Bl, Qlik etc.)
Data governance knowledge
Knowledgeable with Financial Statements, Chargebacks, Rebates & Model N required
The ability to work in a complex and changing environment with minimal supervision, make independent decisions and work within a team environment.
Ability to initiate complex analysis, manage details, and provide strategic perspective.

Nice To Haves

Chargeback & Rebate background in the Pharmaceutical Industry desired
SAP experience desired

Responsibilities

The Sr Data Analyst will design Metrics & Reporting for the Customer Financial Services (CFS) department utilizing a range of tools (Power Query, Power Bl, Access, Excel, etc.).
Design & Track KPl's across the CFS department and provide feedback & insight to the Senior Director.
Build and maintain Dashboards for the CFS group that provide insight from a management level and allow management to identify actionable items.
Build Reporting Models that reduce time spent analyzing and building, increases group efficiency and ensures data accuracy.
Identify trends/anomalies in the data collected to understand the source of data inaccuracies.
Assist value mapping and designing new or improving old inefficient processes Collaborate with the Chargeback, Credit & Collections, Customer Master & Rebate managers to provide meaningful reports and project assistance.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Communicate clearly and effectively with team members.
Provide insight to Charge back & Rebate groups with data mining and understanding of current trends.
Assist and maintain models within wholesaler monitoring program.
Assist in the efforts to establish data governance standards, ensure data quality and integrity, and optimize processes for maintaining customer information.
Collaborate with cross-functional teams to define data requirements, establish data quality metrics, and implement data management best practices.
Alignment with Commercial Excellence on Customer Master data integrity and reporting.
All employees are responsible for ensuring the compliance to company documents, programs and activities related to the Health, Safety, Environment, Energy, and Quality Management Systems, as per your roles and responsibilities.