TL;DR

Fast-growing measurement company looking for an entry level analytics engineer to help bridge the gap between data engineering and data analysis.

Position overview

This position reports to the Senior Data Analytics Engineer; it will behave cross functionally across Data teams with an emphasis on supporting the Analytics team and their workflows.

In this role, you will be joining a team of data scientists and engineers. You'll help build and maintain the semantic layer of our data pipeline, ensuring clean, consistent, and reusable data models. Day-to-day activities range from developing and testing data models, editing LookML, managing a data catalog, automating data analysis workflows, and working closely with stakeholders to understand and support their data needs.

We're seeking a candidate with 0-2 years of experience in analytics, data engineering, or a related field, and a passion for building clean, reliable data systems.

This is a fully remote position within the United States, with opportunities to connect with colleagues at our New York office. You will need to be in NYC a few times per year.

Compensation

Base Salary Range: $80,000-$100,000

This role includes a competitive compensation package consisting of base salary, performance-based bonus, and equity. Final compensation will be determined based on experience, level, and location.

What you'll learn

An important part of our culture is continuous learning and the open sharing of ideas. We offer:

Access to a broad network of investors and advisors who can help you and your team succeed
Mentorship from executives with decades of experience in adtech and media
Regular internal knowledge-sharing sessions
An education budget to support ongoing professional growth and development

In this role you'll learn:

Gain a deep understanding of attention metrics and media quality measurement
How to build and maintain modular, scalable data models using tools like dbt and Looker (LookML)
Best practices for working millions of data points
How to collaborate effectively across teams to meet stakeholder needs

Core responsibilities

Contribute to maintaining a well-organized data catalog with accurate, accessible metadata for both technical and non-technical audiences
Build, test, and maintain SQL-based data models in the data warehouse (Redshift) to support reporting and analytics
Help create and manage a clean, reliable reporting and semantic layer in Looker using LookML, ensuring business logic and metrics are clearly defined and reusable across dashboards
Work cross functionally across Account Managers, Customer Success, and Analytics to support reporting needs and improve data accessibility
Monitor data adoption and identify opportunities to improve data usability and self-service analytics

What you'll bring

SQL Proficiency - Strong ability to write, optimize, and debug SQL queries. You understand data modeling and warehouse best practices and are committed to writing clean, readable, and well-documented code.
BI & Visualization Tools - Hands-on experience with BI/dashboarding platforms (e.g. Looker, Tableau) and familiarity with building or supporting a semantic layer for reporting.
Data Modeling Tools - Experience building SQL-based data models in a data warehouse environment. Familiarity with semantic modeling tools (e.g. LookML) and exposure to transformation frameworks such as dbt is a plus. Understanding of ETL/ELT concepts is expected.
Data Quality & Testing - Strong attention to detail in building data validation checks, profiling routines, and root cause analysis workflows to ensure reliable reporting data.
Communication & Collaboration - Excellent interpersonal skills with experience working cross-functionally. Ability to translate technical concepts for non-technical audiences and help support adoption of data tools.

Educational Background & Experience - Bachelor's degree in a quantitative, technical, or analytical field (e.g. Computer Science, Math, Physics, Engineering) or a rigorous coding bootcamp with a portfolio demonstrating the above skills.

What will set you apart

A Creative Problem Solver - Approaches problems with an open mind finding innovative solutions to data wrangling, transformation, and analytics that drive real business impact
Comfortable with ambiguity - You're at ease with incomplete requirements or changing stakeholder needs, and you excel at asking the right questions to find solutions
Relevant Tech Stack Experience - Familiarity with tools like Looker, Redshift, S3, and dbt

Benefits

Health & Wellness

Medical, dental, and vision insurance (for US)
Paid time off
Parental leave
Employee development & wellness stipend
Holiday break
Volunteer time off

Financial & Compensation

Competitive salary
Performance-based quarterly bonus
Stock options
401(k) retirement plan (for US)

Workplace & Equipment

Remote-first environment
New York office access
Access to available WeWork spaces

The pay range for this role is:

80,000 - 100,000 USD per year (United States)

80,000 - 100,000 CAD per year (Canada)

Adelaide Metrics, Inc.

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