Senior Level Data Analytics Engineer Jobs
Senior level data analytics engineer jobs place experienced engineers in charge of data architecture decisions, end-to-end pipeline ownership, and the cross-functional teams that turn raw data into business outcomes. Roles are concentrated across Technology & Software, Insurance, and Biotechnology & Pharmaceuticals, with a mix of remote, hybrid, and on-site positions, and employers like Xometry, Revolution Medicines, and Revolution Medicines hiring at this level now.
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INTRODUCTION
Are you passionate about making a difference in people's lives? Do you enjoy working in a service-oriented industry? If so, this opportunity may be the right fit for you!
The Vice President, Data, Reporting & Analytics leads the development and delivery of data, reporting, and analytics capabilities for Personal Care Services (PCS). This leader oversees the integration of operational, clinical, workforce, financial, payor, and enterprise data to establish reliable, governed information that supports business performance and decision-making.
Working closely with enterprise IT, Information Security, Finance, Operations, Compliance, and system owners, this role drives the PCS data strategy, integration roadmap, reporting architecture, business intelligence, and analytics capabilities to improve operational efficiency, financial performance, and strategic decision-making.
ROLE AND RESPONSIBILITIES
You will...
PCS Data, Reporting & Analytics Strategy
- Develop and execute the overall strategy for Personal Care Services (PCS) data analytics and reporting.
- Collaborate with executive leadership to align data initiatives with business goals and objectives.
- Foster a data-driven culture within the organization, promoting the use of data in decision making processes.
- Oversee the development and implementation of data governance policies and procedures.
- Ensure data integrity, accuracy, and security across all data sources and systems.
- Manage data integration, warehousing, and ETL processes to support analytics and reporting needs.
- Lead the design, development, and maintenance of business intelligence and reporting solutions.
- Provide actionable insights and recommendations to support business strategies and operations.
- Develop key performance indicators (KPIs) and dashboards to monitor and measure business performance.
- Collaborate with cross-functional teams to understand their data needs and deliver relevant solutions.
- Present findings and recommendations to senior leadership and other stakeholders.
- Act as a trusted advisor on data-related matters, providing expertise and guidance.
- Stay current with industry trends, emerging technologies, and best practices in data analytics and reporting.
- Drive the adoption of advanced analytics tools and technologies to enhance capabilities.
- Evaluate and implement new technologies and platforms to support the evolving needs of the organization.
- May lead projects and perform other duties as assigned.
- Occasional business travel may be required.
Supervisory Responsibilities
- Determine appropriate resourcing of staff in order to achieve goals and objectives.
- Build an effective senior leadership team through mentoring and formal education that focuses on management and project management principles.
- Define annual Key Performance Indicators aligned with corporate goals.
- Direct and mentor senior leaders on performance gaps, career development opportunities, and strategies.
- Direct and coach senior leaders on all human resource related processes including onboarding, performance management, succession planning, employee relations, selection, terminations, compensation and rewards.
- Accountable for strategic design, execution, and collective results along with others’ successful contributions.
- Own attainment of high employee satisfaction and retention; lead development of program and initiatives within group to attain high employee satisfaction.
- Direct and influence change management initiatives to drive improvements and efficiencies cross-functionally.
- Ability to direct and interact collaboratively and communicate effectively with external, internal customers, and stakeholders to address issues and ensure alignment across the organization to drive customer success.
- Prepare and manage budgets as assigned; analyze variances and initiate corrective actions to maximize operational performance.
BASIC QUALIFICATIONS
We are excited to speak to someone with...
- Bachelor's degree in Data Science, Computer Science, Statistics, Business Administration, or a related field required, Master's Degree preferred.
- Fifteen (15) plus years of experience in data analytics, business intelligence, or a related field.
- Ten (10) plus years leadership responsibility leading teams.
- Proven track record of developing and executing data analytics strategies that drive business results.
- Strong leadership and team management skills, with the ability to inspire and motivate a diverse team.
- Expertise in data governance, data management, and data integration.
- Proficiency with data analytics tools and technologies (e.g., SQL, Python, R, Tableau, Power BI).
- Excellent communication and presentation skills, with the ability to convey complex information to non-technical stakeholders.
- Strong problem-solving and critical-thinking abilities.
- Experience in the healthcare industry is highly desirable.
COMPENSATION
- Salary: $202,300 - $250,000
This role is bonus eligible based on individual and company performance.
The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job.
Primarily seated work; extensive computer and telephone use; occasional standing, walking, reaching, bending, and lifting up to 10 lbs.
Modivcare’s positions are posted and open for applications for a minimum of 5 days. Positions may be posted for a maximum of 45 days dependent on the type of role, the number of roles, and the number of applications received. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings.
BENEFITS
We value our team members and realize the importance of benefits for you and your family.
Modivcare offers a comprehensive benefits package to include the following:
- Medical, Dental, and Vision insurance
- Employer Paid Basic Life Insurance and AD&D
- Voluntary Life Insurance (Employee/Spouse/Child)
- Health Care and Dependent Care Flexible Spending Accounts
- Pre-Tax and Post-Tax Commuter and Parking Benefits
- 401(k) Retirement Savings Plan with Company Match
- Paid Time Off
- Paid Parental Leave
- Short-Term and Long-Term Disability
- Tuition Reimbursement
- Employee Discounts (retail, hotel, food, restaurants, car rental and much more!)
Modivcare is an Equal Opportunity Employer.
EEO is The Law - click here for more information
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled
We consider all applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, handicap or disability, or status as a Vietnam-era or special disabled veteran in accordance with federal law. If you need assistance, please reach out to us at hr.recruiting@modivcare.com
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Top Industries Hiring
- Technology & Software11
- Insurance7
- Biotechnology & Pharmaceuticals6
- Retail3
- Automotive2
Senior Level Data Analytics Engineer Jobs: Frequently Asked Questions
How do I get a senior level data analytics engineer job?
Employers at this level expect candidates to demonstrate ownership of complex data systems, not just participation in them. Highlight projects where you designed or rebuilt a pipeline, led a migration, or defined modeling standards for a team. Strong candidates also show experience mentoring junior engineers and influencing data strategy, not just executing it. A portfolio with measurable business outcomes carries more weight than credentials alone.
Which companies hire senior level data analytics engineers?
Companies hiring senior level data analytics engineers right now include Xometry, Revolution Medicines, and Revolution Medicines, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of large technology firms, financial services companies, and data-intensive enterprises that need engineers who can own infrastructure and lead analytical teams.
Are there remote senior level data analytics engineer jobs?
Yes, remote availability is strong at this level. About 40% of senior level data analytics engineer openings are remote or hybrid as of November 2026, reflecting how many organizations treat experienced data engineers as distributed contributors. On-site roles tend to cluster in industries with stricter data governance requirements, such as healthcare and financial services.
What makes a data analytics engineer role senior level?
Senior level roles are defined by scope and accountability. Engineers at this stage own the design of data models and pipelines rather than implementing specs written by others, make architectural decisions that affect downstream teams, and are expected to mentor junior and mid-level engineers. They also engage directly with stakeholders to translate business questions into analytical systems, and are responsible for data quality and reliability at scale.
Which industries hire the most senior level data analytics engineers?
Senior level data analytics engineer roles concentrate in Technology & Software, Insurance, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of November 2026. These sectors share a dependence on large, complex datasets and need engineers who can build and maintain the infrastructure that makes analytics reliable enough to drive decisions at an organizational level.