Sr Data Analyst; Finance

Job Summary

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.

Salary Range: 90, per year

• Position is eligible to participate in a bonus plan with a target of 6% of the base salary (include only if applicable to the grade level)
• Final pay determinations will depend on various factors, including, but not limited to experience level, education, knowledge, skills, and abilities.
• Our benefits and programs are comprehensive and thoughtfully crafted to ensure our colleagues live healthy lives and have support when it matters most. Benefits offered include a 401(k) plan with company contributions, paid vacation, holiday and personal days, employee assistance program, and health benefits to include medical, prescription drug, dental and vision coverage.

Applicants must be authorized to work for any employer in the United States. Fresenius Kabi is unable to sponsor or take over sponsorship of an employment visa either now or in the future.

• The Sr. Data Analyst will design Metrics & Reporting for the Customer Financial Services (CFS) department utilizing a range of tools (Power Query, Power BI, Access, Excel, etc.). Design & Track KPIs 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 compliance to company documents, programs and activities related to the Health, Safety, Environment, Energy, and Quality Management Systems, as per your roles and responsibilities.

• 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 (SQL) as well as working familiarity with a variety of databases required.
• Comfortable learning and utilizing new tools (Python, Power BI, Qlik etc.)
• Data governance knowledge
• Knowledgeable with Financial Statements, Chargebacks, Rebates &…