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1 день назад

Analytics Engineer (Mobile Marketing)

79 200 - 146 504$
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Analytics Engineer (Mobile Marketing) (SQL/Python): Building and maintaining marketing analytics data pipelines, analytical datasets, and reporting-ready data assets with an accent on mobile marketing measurement, attribution, and data reliability. Focus on troubleshooting production pipeline failures, resolving data quality issues, and designing scalable transformations with modern workflow orchestration and analytics platforms.

Location: Santa Monica, United States

Salary: $79,200–$146,504 annual base pay, with potential incentive compensation.

Company

hirify.global develops, publishes, and distributes interactive entertainment and gaming franchises.

What you will do

  • Operate, monitor, and continuously improve mobile marketing analytics data pipelines, data products, and related systems.
  • Investigate data quality issues, pipeline failures, and reporting discrepancies through root-cause analysis and remediation.
  • Design and maintain data pipelines, transformations, analytical datasets, and reporting-ready data assets using SQL and Python.
  • Partner with analytics, engineering, and business stakeholders to clarify requirements, communicate findings, and deliver solutions.

Requirements

  • At least 2 years of experience in analytics engineering, data engineering, business intelligence engineering, or a related data-focused role.
  • Experience supporting, monitoring, troubleshooting, and resolving production data pipeline issues and workflow orchestration platforms such as Airflow, Dagster, Prefect, or Azure Data Factory.
  • Strong SQL and Python skills for data analysis, transformation, automation, and troubleshooting.
  • Experience with Git and GitHub in a collaborative development environment.
  • Strong written and verbal communication skills, including technical documentation.

Nice to have

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

Culture & Benefits

  • Medical, dental, vision, health savings or reimbursement accounts, insurance, and dependent care spending accounts.
  • 401(k) with company match, tuition reimbursement, and charitable donation matching.
  • Paid holidays and vacation, sick time, floating holidays, bereavement leave, and parental leave.
  • Mental health, wellbeing, and fitness programs, plus free and discounted games.
  • Relocation assistance may be available when the company requires a geographic move for the role.

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