[Remote] Senior Manager, Data Analytics and Operations - Health Analytics Solutions (HAS) (Remote)
Note: The job is a remote job and is open to candidates in USA. Quest Diagnostics is a leading provider of diagnostic testing and information services. The Senior Manager, Data Analytics and Operations is responsible for executing data analytics initiatives, managing workflows, and leading a team of data analysts to deliver high-quality analytics products.
Responsibilities
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Skills
- 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
- 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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