Senior Manager, Data Analytics and Operations - Health Analytics Solutions (HAS) (Remote)

About the position We Provide Solutions. Patients and Physicians rely on our diagnostic testing, information, and services to help them make better healthcare decisions. These are often serious decisions with far reaching consequences, and require sensitivity, tact, and a clear dedication to service. It’s about providing clarity and hope. The Senior Manager, Data Analytics and Operations is responsible for the day-to-day execution and tactical implementation of data analytics initiatives within the Health Analytics Solutions (HAS) team. This role serves as a key operational leader, managing analytics workflows, overseeing data pipeline operations, and ensuring the delivery of high-quality analytics products to internal and external customers. The Senior Manager will work closely with the Senior Director to translate strategic objectives into actionable deliverables while leading a team of data analysts and coordinating cross-functional activities.

Responsibilities

• Data Operations Management: Oversee daily operations of data analytics pipelines, ETL processes, and data quality monitoring
• Manage production schedules for recurring analytics deliverables and customer reports
• Implement and maintain standard operating procedures for data analytics workflows
• Troubleshoot and resolve data pipeline issues, ensuring minimal disruption to operations
• Coordinate with IT and data engineering teams on infrastructure and technical requirements
• Team Leadership and Development: Directly manage and mentor a team of 3-5 data analysts and associate data scientists
• Conduct regular 1:1s, performance reviews, and career development planning
• Assign tasks, set priorities, and monitor team workload to ensure timely delivery
• Foster a collaborative team environment and promote knowledge sharing
• Identify training needs and facilitate skill development opportunities
• Analytics Delivery and Quality Assurance: Ensure timely and accurate delivery of analytics products to customers and stakeholders
• Implement quality control processes for data validation and report accuracy
• Review and approve team deliverables before customer release
• Manage service level agreements (SLAs) and key performance indicators (KPIs)
• Document analytics methodologies and maintain technical documentation
• Customer Support and Engagement: Serve as primary point of contact for day-to-day customer inquiries and requests
• Coordinate with account management on operational aspects of customer engagements
• Support customer onboarding processes and technical implementation
• Gather feedback on analytics products and identify improvement opportunities
• Prepare status reports and presentations on operational metrics
• Project Coordination: Lead tactical analytics projects from requirements gathering through delivery
• Develop project plans, timelines, and resource allocation for team initiatives
• Track project milestones and proactively identify and mitigate risks
• Coordinate with cross-functional teams (IT, operations, sales) on project dependencies
• Experience with collaborating and engaging with corporate IT for provision of support and maintenance is particularly important.
• Report project status to Senior Director and escalate issues as needed
• Process Improvement: Identify opportunities to automate routine analytics tasks and improve efficiency
• Implement best practices for code management, version control, and documentation
• Participate in the evaluation and adoption of new analytics tools and technologies
• Streamline workflows to reduce turnaround time and increase productivity
• Identify and champion the development of new capabilities and enhancements to analytics capabilities and infrastructure.
• Management Responsibilities: Build, lead, and develop a high-performing team of data analysts
• Provide ongoing coaching, feedback, and professional development opportunities
• Conduct performance evaluations and support career progression
• Manage workload distribution and resource allocation
• Foster inclusive team culture aligned with Quest values
• Hiring, onboarding, and training team members
• Setting performance objectives and conducting regular evaluations
• Providing coaching, mentoring, and career development guidance
• Managing workload distribution and resource allocation
• Building team capabilities and fostering professional growth

Requirements

• 7+ years of experience in data analytics or business intelligence roles
• 3+ years of people management experience with demonstrated success in team development
• Strong proficiency in SQL and experience with relational databases (e.g., Snowflake, SQL Server, Oracle)
• Advanced skills in Python or R for data manipulation, analysis, and automation
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar)
• Knowledge of ETL/ELT tools and data pipeline orchestration (e.g., Matillion (preferred), Airflow, dbt)
• Experience with version control systems (Git) and CI/CD practices
• Strong people management and team development skills
• Excellent project management with ability to manage multiple priorities simultaneously
• Ability to motivate, develop, and retain talented analytics professionals
• Excellent communication skills with ability to explain technical concepts to non-technical audiences
• Strong presentation skills for both technical and business audiences
• Proven ability to work effectively with cross-functional teams
• Customer-focused mindset with commitment to quality service delivery
• Bachelor's degree in Data Science, Statistics, Computer Science, Analytics, or related quantitative field required
• Ability to sit for extended periods while working on computer
• Visual acuity for computer screen work and data analysis
• Mental concentration for extended periods analyzing complex data
• Ability to work under pressure and meet tight deadlines
• Capacity to multitask and manage competing priorities

Nice-to-haves

• Experience with cloud data platforms (AWS, Azure, or GCP)
• Background in pharmaceutical market access, patient services, or specialty pharmacy
• Experience with HIPAA compliance (both Safe Harbor and statistical de-identification) and handling PHI/PII data
• Experience or understanding of statistical de-identification principles and tokenization software.
• Master's degree in Data Science, Statistics, Computer Science, Analytics, or related quantitative field preferred

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