Senior Analytics Engineer

Job Description

Senior Analytics Engineer

Summary/objective

The Senior Analytics Engineer is considered a leading role in shaping the analytics platform, data modeling practices, and decision-enabling systems at isolved. As a senior individual contributor, 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

• 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.
• 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.
• 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

Having wide-ranging experience using professional concepts and company objectives to resolve complex issues creatively and effectively. They are the go-to expert in one specific area of their role. Some barriers to entry exist at this level (e.g., dept/peer review)-the level at which a career may plateau.

Interaction

Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques, and evaluation criteria for obtaining results. Networks with key contacts outside their own area of expertise.

Supervision

Determines methods and procedures on new assignments and may coordinate activities of other personnel.

Experience

Typically requires a minimum of 6 years of related experience with a bachelor's degree; 6 years and a master's degree; or equivalent experience.

Minimum Qualifications

• 7+ years of experience in analytics engineering, data engineering, or data analytics roles.
• 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

Internal Job Title

Senior Analytics Engineer

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.

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