Analytics Engineer

DEMONWARE (CANADA) , INC.; Santa Monica (CA); In loco; USD 100.000 - 130.000; Tempo pieno

Descrizione del lavoro

Activision is seeking an Analytics Engineer to support mobile marketing analytics operations and data systems powering measurement, attribution, and reporting. The role blends production analytics operations with analytics engineering development, balancing existing data systems maintenance with new data solutions.

You will own and optimize marketing analytics pipelines, work cross-functionally with analytics, engineering and business teams, and apply SQL and Python to build robust data assets

Competenze

• 2+ years in analytics engineering or related data role.
• Strong SQL and Python for data analysis, transformations, and troubleshooting.
• Experience with production data pipelines and orchestration platforms (Airflow, Dagster, Prefect, Azure Data Factory).
• Experience using Git and GitHub in collaborative development.
• Excellent written and verbal communication, plus ability to document technical work.

Mansioni

• Own operation, reliability, and ongoing improvement of marketing analytics data pipelines and data products.
• Investigate data quality issues, pipeline failures, and reporting discrepancies with root-cause analysis.
• Design, develop, and maintain data pipelines, transformations, datasets, and reporting-ready assets using SQL and Python.
• Partner with analytics, engineering, and business stakeholders to understand requirements and deliver solutions.

Conoscenze

SQL

Python

Communication

Documentation

Problem solving

Strumenti

Airflow

Dagster

Prefect

Azure Data Factory

dbt

Airbyte

Databricks

Git

GitHub

Descrizione del lavoro

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 + year s 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.

Our World

At Activision, we strive to create the most iconic brands in gaming and entertainment. We're driven by our mission to deliver unrivaled gaming experiences for the world to enjoy, together. We are home to some of the most beloved entertainment franchises including Call of Duty® Crash Bandicoot™ Tony Hawk's™ Pro Skater™ and Guitar Hero®. As a leading worldwide developer, publisher and distributor of interactive entertainment and products, our "press start" is simple: delight hundreds of millions of players around the world with innovative, fun, thrilling, and engaging entertainment experiences.

We're not just looking back at our decades-long legacy; we're forging ahead to keep advancing gameplay with some of the most popular titles and sophisticated technology in the world. We have bold ambitions to create the most inclusive company as we know our success comes from the passionate, creative, and diverse teams within our organization.

We're in the business of delivering fun and unforgettable entertainment for our player community to enjoy. And our future opportunities have never been greater - this could be your opportunity to level up.

We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to [e-mail]. General employment questions cannot be accepted or processed here. Thank you for your interest.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity,