Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$160к-180к/год
$200к$230кмедиана$240к
По похожим ролям (50) ~ $230к/год
На СНГ рынке: $11к/мес ($5.6к - $11к)
65
Средняя вакансия
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Роль хорошо определена с солидным стеком технологий, но зарплата ниже рыночной средней, что может снизить её привлекательность.
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Низкая зарплатаЧеткая рольСовременный стекПродуктовая компания
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Director, Analytics Engineering (Data Platforms/BI): Building scalable analytics engineering solutions, resilient data pipelines, analytics-ready datasets, and self-service reporting tools for high-volume digital media data with an accent on ETL optimization, data quality, and stakeholder enablement. Focus on leading analytics engineering strategy, designing automated reporting with Python, SQL, dbt, Power BI, and TIBCO Spotfire, and mentoring technical teams through complex data challenges.
Location: Culver City, California, United States
Salary: $160,000–$180,000 per year
Company
A creator-focused media and data company providing capital, insights, and advertising solutions through a large digital video catalog.
What you will do
Lead analytics engineering strategy and establish best practices across the function.
Partner with data engineers to build smooth, resilient, and scalable data delivery pipelines.
Translate analytical needs from business units, data scientists, analysts, and senior stakeholders into datasets and technical solutions.
Improve ETL processes for scalability, security, extensibility, efficiency, and organizational alignment.
Build analytics-ready datasets, data quality checks, validation processes, dashboards, and self-service reporting tools.
Provide technical guidance and mentorship while resolving data inconsistencies across analytics and engineering teams.
Requirements
Bachelor’s degree in engineering, computer science, analytics, applied mathematics, statistics, business analytics, or a related field; advanced degrees are highly preferred.
7+ years of experience in analytics engineering, data engineering, or a related field.
Expertise in scalable data pipelines and advanced ETL, including Python, SQL, dbt, and at least one data warehouse such as Redshift, BigQuery, Databricks, or Snowflake.
Strong background in data instrumentation, data quality assurance, and maintaining data accuracy in complex environments.
Experience developing automated reporting and visualization solutions with TIBCO Spotfire, Power BI, or equivalent products.
Strong cross-functional communication, problem-solving, strategic direction, and team mentorship skills.
Nice to have
Knowledge of the YouTube or content creator industry.
Advanced degree in a relevant field.
Culture & Benefits
Medical insurance covered up to 100%, plus dental and vision insurance.
401(k) matching and stock options.
Discretionary paid time off.
Complimentary gym access.
Autonomy, upward mobility, and a diverse, equitable, and inclusive work environment.
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