Job Description
Manager, Analytics Engineering
Summary/objective
The Manager, Analytics Engineering is considered a leading role in shaping the analytics platform, data modeling practices, and decision-enabling systems at isolved. The manager will lead a team responsible for designing, building, and maintaining scalable data pipelines that empower data scientists and analysts to extract meaningful insights. This role involves collaborating with stakeholders to understand business needs, ensuring data quality and governance, and driving strategic data initiatives.
As a leader, you will act as a technical and strategic thought partner across the business-working with data engineers, analysts, and product teams to turn raw data into reliable, governed, and insightful data assets. This is a hands-on, high-impact role that requires deep expertise in data modeling, dbt, and cloud-based data stacks, along with a strong product mindset and ability to partner closely with stakeholders to drive business value.
Core Job Duties
- Mentor and manage a team of analytics engineers, fostering a collaborative and high-performing environment.
- Lead the design and evolution of our semantic layer and analytics data models using dbt and modern warehouse platforms.
- Define and enforce best practices in data transformation, versioning, testing, and documentation.
- Lead and collaborate closely with analysts, product managers, and data engineers to align modeling work with business use cases.
- Own the lifecycle of metrics and definitions, ensuring consistency, trust, and reusability across the organization.
- Drive the implementation of self-service data capabilities, empowering teams through curated datasets and intuitive tooling.
- Provide technical mentorship and guidance to analytics engineers and analysts across teams.
- Act as a bridge between analytics and engineering, translating requirements into scalable and performant data infrastructure.
- Assist in developing and enforcing data governance policies and best practices.
- Contribute to governance initiatives (e.g., data cataloging, lineage, quality monitoring) to increase trust in data products.
- Optimize and tune warehouse performance for cost and scale (Databricks preferred, BigQuery, Snowflake, etc).
Job Complexity
Works on issues where analysis of situation or data requires a review of relevant factors. Exercises judgment within defined procedures and policies to determine appropriate action.
Interaction
Frequently interacts with subordinate supervisors and functional peer groups. Interaction typically requires the ability to gain the cooperation of others, conducting presentations of technical information concerning specific projects or schedules.
Supervision
Provides direct supervision to professional individual contributors and/or skilled support individual contributors (e.g., technicians, designers, support personnel). Acts as advisor to unit or sub-units and may become actively involved, as required, to meet schedules and resolve problems.
Experience
Typically requires a Bachelor's degree and a minimum of 2-3 years of direct experience, with 1+ years of management experience.
Scope
Receives assignments in the form of objectives with goals and the process by which to meet goals. Provides direction to employees according to established policies and management guidance. Administers company policies that directly affect subordinate employees. Recommends changes to unit or sub-unit policies. Management reviews work to measure the meeting of objectives.
Discretion
Erroneous decisions or failure to achieve results will cause delays in schedules.
Minimum Qualifications
- 7+ years of experience in analytics engineering, data engineering, or data analytics roles
- 1+ years of experience leading and managing a team
- Expert in dbt and modern data transformation pipelines (dbt Cloud or Core)
- Deep understanding of data modeling techniques (dimensional modeling, star/snowflake schema, slowly changing dimensions, data vault, etc.)
- Proficient in SQL (performance tuning, complex joins, CTEs, window functions)
- Strong working knowledge of cloud data warehouses (e.g., Databricks preferred, Snowflake, BigQuery, Snowflake, etc)
- Comfortable with Git-based workflows, CI/CD, and software engineering best practices in analytics contexts
- Experience collaborating with cross-functional teams and translating ambiguous business needs into structured data models
- Demonstrated experience owning data domains and metrics at scale
- Strong communication and storytelling skills; able to explain complex data topics to both technical and non-technical audiences
- Proficient in Python
Nice to Have:
- Experience with modern BI tools (PowerBI, Looker, Mode, Hex, Tableau, etc.)
- Some exposure to Spark
- Background in experimentation (e.g., A/B testing infrastructure and analysis)
Physical Demands
Prolonged periods of sitting at a desk and working on a computer. Must be able to lift up to 15 pounds.
Travel Required
Yes, up to 15% domestic travel may be required.
Work Authorization
Employee must be legally authorized to work in the United States.
FLSA Classification
Exempt
Location
Office/Hybrid/Remote
About isolved
isolved is an employee experience leader, providing intuitive, people-first HCM (Human Capital Management) technology. Our solutions are delivered directly or through our partner network to more than five million employees and 145,000 employers - who use them every day to boost performance, increase productivity, and accelerate results while reducing risk. Our HCM platform, isolved People Cloud, seamlessly connects and manages the employee journey across talent management, HR & payroll, workforce management and engagement management functions. No matter the industry, we help high-growth organizations employ, enable and empower their workforce by transforming employee experience for a better today and a better tomorrow. For more information, visit www.isolvedhcm.com.
isolved is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. isolved is a progressive and open-minded meritocracy. If you are smart and good at what you do, come as you are. Visit www.isolvedhcm.com/careers for more information regarding our incredible culture and focus on our employee experience. Visit www.isolvedeebenefits.com for a comprehensive list of our employee total rewards offerings.
In adherence to relevant pay transparency legislation and regulations, we endeavor to offer clarity regarding our compensation methodology for this position. While specific pay ranges are presently under review to ensure alignment with competitive market standards, we will furnish this information upon finalization.
At our organization, individual compensation structures are established through a consistent and equitable process, taking into account various pertinent factors. These factors encompass geographic location, job-specific competencies, educational attainment, professional certifications, and pertinent experience. This structured approach enables us to align our total rewards package competitively with each employee's qualifications, duties, and contributions to our collective success.
An employee's comprehensive compensation package comprises diverse components, such as base salary, performance-linked bonuses or commissions, long-term incentives like equity grants, and an extensive benefits portfolio. Should you advance as a finalist candidate, you will have the opportunity to explore our overarching compensation philosophy, practices, and how your unique background informs an appropriate compensation proposition.
Our commitment lies in fostering a fair, impartial, and transparent compensation framework throughout our workforce. All compensation determinations are aimed at justly acknowledging and rewarding the value, qualifications, and significant contributions that our employees bring to their roles and to the company's achievements. We welcome your inquiries about our principles of pay equity, accompanying analyses, and associated procedures throughout the recruitment process.
