Sr. Manager, Data Analyst

ConnectiveRx•Hanover Township, NJ

1d•$107,600 - $165,500•Onsite

About The Position

The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data strategy and leading a team of analysts to deliver consistent reporting and impactful insights for Life Science clients, agency partners, and internal stakeholders. With deep technical expertise and comprehensive domain knowledge of Life Science sponsored messaging, this role influences organizational decisions and leads the design of advanced reporting, dashboarding, and analysis. The Senior Manager acts as a strategic advisor and collaborates with internal and external stakeholders to drive business outcomes through data.

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
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.

Nice To Haves

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.

Responsibilities

NPI-based reporting (PLD) with a focus on automating, optimizing, and scaling reporting infrastructure.
Claims-based analyses focused on identifying optimal audiences and assessing impact.
Self-service reporting solutions that enable technical and non-technical stakeholders to access data that supports business needs.
Rx impact reporting focused on identifying scalable solutions for complex impact analysis methodologies rooted in claims data.
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.