Senior Data Analytics Leader for Life Sciences

ConnectiveRx; New Jersey; Sur place; USD 108 000 - 166 000; Plein temps

Avantages offerts par ce poste

Bonus eligibility

401(k) plan with employer contribution

Medical insurance

Paid time off

Résumé du poste

ConnectiveRx is seeking a Senior Manager, Data Analyst to lead a team of analysts and drive the organization's data strategy for Life Science clients, agencies, and internal stakeholders. You will design advanced reporting, dashboards, and analyses, mentor staff, and collaborate with executives and cross-functional teams to translate data into business outcomes.

Requirements include 10–15 years in data analytics, 3+ years in leadership, proficiency in SQL and Python, and AWS experience; a

Qualifications

• Bachelor's degree in Business, Data Analytics, Information Systems, or a related field required.
• 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.
• Strong problem-solving, leadership, and strategic thinking skills with the ability to align team activities with organizational goals.

Responsabilités

• Lead the analytics team and oversee the design and execution of complex SQL and Python-based solutions.
• 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.
• Oversee the development of high-quality reporting with focus on efficiency, scalability, and advanced technologies.

Connaissances

SQL

Python

Data visualization

Leadership

AWS

Data modeling

Stakeholder communication

Life sciences domain

Problem solving

Formation

Bachelor's degree

Master's degree

Certifications (SQL/BI/data strategy)

Outils

N/A

Description du poste

ConnectiveRx is seeking a Senior Manager, Data Analyst to lead a team of analysts and drive the organization's data strategy for Life Science clients, agencies, and internal stakeholders. You will design advanced reporting, dashboards, and analyses, mentor staff, and collaborate with executives and cross-functional teams to translate data into business outcomes.

Requirements include 10–15 years in data analytics, 3+ years in leadership, proficiency in SQL and Python, and AWS experience; a