Job Title:
Analytics Engineer

Requisition ID:
R027920

Job Description:

Job Title: Analytics Engineer - Mobile Marketing

Reporting To:Lead Analytics Engineer

Department: Global Analytics

Location: Santa Monica

We are looking for an Analytics Engineer to support mobile marketing analytics operations and the data systems that power marketing measurement, attribution, and reporting. This role combines production analytics operations with analytics engineering development, balancing the support of existing data systems with the design and implementation of new data solutions.

Responsibilities

• Own the operation, reliability, and continuous improvement of marketing analytics data pipelines, data products, and related systems.
• Investigate and resolve data quality issues, pipeline failures, and reporting discrepancies through root-cause analysis and remediation.
• Design, develop, and maintain data pipelines, transformations, analytical datasets, and reporting-ready data assets using SQL and Python.
• Partner with analytics, engineering, and business stakeholders to understand requirements, communicate findings, and deliver effective solutions.

What will you bring to the team

• A structured and methodical approach to problem solving.
• Curiosity and ownership when investigating complex or ambiguous issues.
• Strong technical foundations in data engineering and analytics engineering concepts, with the ability to understand, troubleshoot, and improve complex data pipelines and systems.
• Ability to communicate technical findings, issues, and recommendations in a clear and structured manner.
• Good judgment when balancing operational needs, technical debt, and long-term solutions.

Minimum Requirement

• 2+ years of experience in analytics engineering, data engineering, business intelligence engineering, or a related data-focused role.
• Experience supporting, monitoring, troubleshooting, and resolving issues in production data pipelines and workflow orchestration platforms (such as Airflow, Dagster, Prefect, Azure Data Factory, or similar).
• Strong SQL and Python skills for data analysis, transformation, automation, and troubleshooting.
• Experience using Git and GitHub in a collaborative development environment.
• Strong written and verbal communication skills, including the ability to create and maintain technical documentation.

Preferred

• Experience with Apache Airflow.
• Experience with dbt, Airbyte, Databricks, or equivalent modern data platforms.
• Experience working with marketing attribution, campaign measurement, or marketing data systems.
• Familiarity with reverse ETL concepts and audience activation workflows.
• Exposure to data governance, privacy, or compliance-related data practices.
• Experience with CI/CD practices and software delivery workflows.

Rewards

We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including:

• Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance;
• 401(k) with Company match, tuition reimbursement, charitable donation matching;
• Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave;
• Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others;
• If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.

Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting https://www.benefitsforeveryworld.com/.

In the U.S., the standard base pay range for this role is $79,200.00 - $146,504.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.