Sr. Manager, Data Analyst

ConnectiveRx helps pharmaceutical manufacturers simplify the prescription journey and improve patients’ relationships with medication brands. The Senior Manager, Data Analyst leads the analytics team and drives data strategy through advanced reporting, dashboarding, claims-based analysis, and scalable data solutions for clients and internal stakeholders.

Responsibilities:

• Support the development of high-quality reporting with a focus on efficiency, scalability, and advancement through new technologies such as AI-supported tools
• Oversee the design and execution of complex SQL and Python-based solutions, guiding the team on best practices and scalable approaches. Collaborate with data engineering teams to ensure robust ETL pipelines, data integrity, and adherence to governance and security protocols
• Lead high-level discussions with senior executives and key stakeholders, clearly communicating complex analytics and their impact on business goals
• Lead and oversee the analytics team's day-to-day activities, ensuring the successful delivery of multiple concurrent data projects
• Mentor and coach team members, fostering a culture of continuous improvement and innovation
• Partner with senior leadership, external clients, and cross-functional teams to identify and prioritize strategic data initiatives. Evaluate and implement emerging technologies to enhance the organization's data analytics capabilities
• Travel to office locations or client sites as needed
• Adhere to all company policies, procedures, and required training consistent with ConnectiveRx's Information Security and Compliance Programs, including SOC1, SOC2, PCI, and HIPAA requirements
• Maintain strict compliance with company and client policies regarding business rules and ethics, as well as all applicable local, state, and federal laws

Requirements:

• Bachelor's degree in Business, Data Analytics, Information Systems, or a related field required
• 10–15 years of experience in data analysis, business intelligence, or a related field
• 3+ years of people leadership experience
• Proficiency with SQL and Python
• Experience with AWS cloud-based infrastructure
• Deep technical expertise and comprehensive domain knowledge to influence organizational decisions and lead the design of advanced reports, dashboards, and analyses
• Experience managing complex data initiatives, driving business-impacting insights, and mentoring junior team members
• Advanced SQL skills, including designing and implementing complex database schemas, utilizing CTEs and window functions, and optimizing queries for large datasets
• Advanced data wrangling skills, including automating data cleaning, managing large datasets, feature engineering, and data normalization
• Expertise in data visualization, including custom visualizations, geospatial visualizations, and interactive dashboards
• Strong statistical knowledge, including hypothesis testing, regression analysis, ANOVA, and the ability to interpret and communicate statistical results
• Experience designing and implementing advanced business intelligence solutions, including data modeling, ETL processes, and performance optimization
• Strong coding experience with the ability to develop complex software solutions using advanced programming techniques and frameworks. Python preferred
• Excellent communication skills with the ability to explain complex analytical concepts to both technical and non-technical audiences
• Significant healthcare domain knowledge to provide meaningful context for data analysis and reporting
• Analytical and logical reasoning
• Oral and written communication
• Project management
• Negotiation and persuasion
• Consultation
• Decision quality
• Master's degree in Data Science, Business Analytics, or a related discipline strongly preferred
• Relevant certifications in SQL, business intelligence tools, or data strategy are preferred