Senior Data Analyst

We are seeking a skilled Senior Data Analyst to join our team. This role involves working with diverse data sets, including clinical case data, contact center data, and productivity metrics. The ideal candidate will provide analytical support across multiple departments, from the C-suite to finance and legal teams. This position requires expertise in data analysis, problem-solving, and effective communication with various stakeholders. Key Responsibilities:
• Analyze and manage clinical case data, contact center data, and operational productivity metrics.
• Perform ad hoc data queries, data dumps, and project-based reporting while ensuring consistency in recurring tasks.
• Focus primarily on clinical review while supporting other operational areas.
• Extract, transform, and analyze data from multiple sources, applying business logic and advanced analytics techniques.
• Develop interactive dashboards and reports using Excel, Power BI, and Tableau.
• Collaborate with stakeholders to understand business needs and deliver tailored data solutions.

Required Qualifications:
• SQL expertise (BigQuery, DB2, SQL, Salesforce data pulls).
• Strong proficiency in complex query writing, including joins, CTEs, case statements, query optimization, data cleansing, aggregation, and recursive queries.
• Experience in Pharmacy Benefit Management (PBM) and healthcare data analysis.
• High-level proficiency in Alteryx, with the ability to develop automated workflows for data cleansing and analysis.
• Hands-on experience with Python (including Pandas, NumPy, Seaborn); R is a plus.
• Strong skills in automation and API integration.

Preferred Qualifications:
• Experience with Power BI and/or Tableau for data visualization and reporting.
• Familiarity with Google Cloud Platform (GCP).

Soft Skills:
• Strong problem-solving and troubleshooting abilities.
• Excellent communication skills, with the ability to work directly with stakeholders and requestors.
• Ability to work in an Agile team environment, including participation in daily stand-ups at 9:40 AM CT.

Certifications (Preferred but Not Required):
• Certifications in Data Analysis, SQL, Python, or Cloud Technologies.