12 часов назад
Director, Analytics Engineering
160 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Analytics Engineering (Python/SQL/DBT): Building scalable analytics engineering solutions, resilient data pipelines, analytics-ready datasets, and self-service reporting tools for a large digital media data environment with an accent on ETL optimization, data quality, and business intelligence. Focus on leading analytics engineering strategy, designing automated validation and reporting systems, mentoring engineers, and translating cross-functional analytical needs into reliable technical solutions.
Location: Culver City, California, United States
Salary: $160,000–$180,000 per year, plus potential discretionary bonus and equity
Company
provides capital, data, and insights to YouTube creators and delivers a scaled, brand-safe media solution to advertisers and agencies.
What you will do
- Lead analytics engineering strategy and establish best practices across the organization.
- Design and maintain scalable data pipelines, ETL processes, and analytics-ready datasets.
- Partner with data engineers, data scientists, business analysts, and business stakeholders to define requirements and deliver technical solutions.
- Implement data quality checks, validation methodologies, and processes for resolving data inconsistencies.
- Develop dashboards, reports, and self-service reporting tools using TIBCO Spotfire, Power BI, and related visualization platforms.
- Provide technical guidance, mentorship, and strategic direction to analytics engineers.
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 with Python, SQL, DBT, scalable data pipelines, advanced ETL, and at least one data warehouse such as Redshift, BigQuery, Databricks, or Snowflake.
- Strong background in data instrumentation, data QA, data accuracy, and complex data environments.
- Experience developing automated reporting and visualization solutions with platforms such as TIBCO Spotfire and Power BI.
- Strong cross-functional collaboration, problem-solving, communication, and mentoring skills.
Nice to have
- Knowledge of the YouTube or content creator industry.
- Experience with equivalent business intelligence and data products.
Culture & Benefits
- Medical insurance covered up to 100%, plus dental and vision insurance.
- 401(k) matching and stock options.
- Discretionary paid time off and complimentary gym access.
- Autonomy, upward mobility, and a diverse, equitable, and inclusive culture.
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