Sr. Manager, Data Analyst

• →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.

• 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.

Compensation & Benefits:  This position offers opportunities for a bonus (or commissions), with total compensation varying based on factors such as location, relevant skills, experience, and capabilities.   

Employees at ConnectiveRx can access comprehensive benefits, including medical, dental, vision, life, and disability insurance. The company regularly reviews and updates its health, welfare, and fringe benefit policies to ensure competitive offerings. Employees may also participate in the company’s 401(k) plan, with employer contributions where applicable.  

Time-Off & Holidays:  ConnectiveRx provides a flexible paid time off (PTO) policy for exempt employees, covering sick days, personal days, and vacations. PTO is determined based on an employee’s first year of service. Employees also receive eight standard company holidays and three floating holidays annually, with prorations applied in the first year.  

The company remains committed to providing competitive benefits and reserves the right to modify employee offerings, including PTO, STO, and holiday policies, in accordance with applicable laws and regulations.   

• 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.

• 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