Senior Analytics Engineer — United States

This is a Fully Remote Job

About Our Client:

The organization operates in the education technology sector, focusing on creating intuitive products that simplify learning and personal development. It addresses challenges related to enabling meaningful educational and career growth by offering tools that facilitate relationships and inspire progress. The company's impact spans multiple business functions, reflecting a complex operation that supports education through technology.

About the Opportunity:

The SENIOR ANALYTICS ENGINEER role is designed to build and maintain comprehensive data models used across various business areas including Finance, Operations, Product Management, and Sales. This position plays a key role in translating business needs into accurate data solutions, ensuring reliable metrics that inform decision-making. The engineer will own the entire lifecycle of data models and help establish standards that enhance data quality and usability.

Responsibilities:

• Design, build, and maintain dimensional data models using dbt and Snowflake.

• Translate business questions into data requirements by collaborating with senior leaders.

• Manage the full model lifecycle including ingestion, staging, testing, documentation, and deployment.

• Set and uphold data modeling standards such as naming conventions and testing practices.

• Optimize Snowflake performance and control costs through materialization choices and warehouse sizing.

• Collaborate with data engineers and business systems teams to ensure quality upstream data.

• Review code, mentor team members, and improve overall data team quality.

• Communicate data definitions and limitations clearly to non-technical stakeholders.

Requirements:

• Minimum 5 years of experience in analytics engineering or related fields.

• Preferred bachelor's degree in Computer Science, Information Systems, Finance, or a quantitative field.

• Extensive hands-on experience with dbt features including macros, incremental models, and testing.

• Strong proficiency in Snowflake and advanced SQL.

• Proven expertise in designing dimensional models and understanding their appropriate use.

• Solid understanding of data architecture principles such as grain and lineage.

• Knowledge of business operations across finance, sales, operations, and product.

• Ability to engage with leadership to develop data solutions aligned with business issues.

• Strong written and verbal communication skills.

• Experience with Git workflows and CI/CD for data projects.

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Benefits & Perks:

• Tuition reimbursement and professional development resources.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

DaCCZ378s is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.