Analytics Engineer - Marketing Data Pipelines

DEMONWARE (CANADA) , INC.; Santa Monica (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

Communication

Documentation

Problem solving

Tools

Airflow

Dagster

Prefect

Azure Data Factory

dbt

Airbyte

Databricks

Git

GitHub

Job description

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