Senior Data Analytics Manager — Life Sciences Insights

ConnectiveRx; Hanover Township (NJ); On-site; USD 108,000 - 166,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) plan

Paid time off

Holidays & floating holidays

Job summary

ConnectiveRx in New Jersey is seeking a Senior Manager, Data Analyst to lead the data strategy and manage a team delivering consistent reporting and insights for Life Science clients, agency partners, and internal stakeholders.

The role directs advanced reporting, dashboards, and analyses; collaborates with data engineering on ETL, governance, and security; mentors analysts and drives data initiatives with SQL, Python, and AWS.

Qualifications

• Bachelor’s degree in Business, Data Analytics, Information Systems, or related field.
• Master’s degree in Data Science, Business Analytics, or related discipline preferred.
• Certifications in SQL, BI tools, or data strategy preferred.
• Strong problem-solving, leadership, and strategic thinking; align with goals.

Responsibilities

• NP I-based reporting (PLD), automating and scaling reporting infrastructure.
• Claims-based analyses to identify audiences and measure impact.
• Self-service reporting enabling technical and non-technical users.
• Rx impact reporting for scalable analytical methodologies.
• Oversee SQL and Python solutions; ensure robust ETL and governance.
• Lead discussions with executives; communicate analytics impact.

Skills

Advanced SQL

Data wrangling

Data visualization

Statistics

BI solutions

Python

Communication

Healthcare domain

Education

Bachelor's degree in Business/Data Analytics/Information Systems

Master’s degree in Data Science/Business Analytics

Certifications in SQL/BI/tools

Tools

SQL

Python

AWS

Job description

ConnectiveRx in New Jersey is seeking a Senior Manager, Data Analyst to lead the data strategy and manage a team delivering consistent reporting and insights for Life Science clients, agency partners, and internal stakeholders.

The role directs advanced reporting, dashboards, and analyses; collaborates with data engineering on ETL, governance, and security; mentors analysts and drives data initiatives with SQL, Python, and AWS.