обновлено 4 дня назад
Senior Analytics Engineering Manager (Data Engineering)
204 000 - 301 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analytics Engineering Manager (Data Engineering): Developing the vision for analytics engineering and delivering curated datasets, dashboards, and internal data products with an accent on data governance, scalability, and high-performing team leadership. Focus on scaling data self-service, optimizing ETL/ELT pipelines, and integrating AI tools to enhance productivity.
Location: US Remote. Participation in in-person trainings, off-sites, volunteer days, and team-building events may be required.
Salary: $204,000–$301,000 annualized, potentially higher based on proficiency and geographic location.
Company
operates a neighborhood network used by neighbors, public agencies, and businesses across more than 350,000 neighborhoods in 11 countries.
What you will do
- Define the Analytics Engineering vision and deliver curated datasets, dashboards, and internal data products.
- Establish standards for metrics, semantic layers, data governance, documentation, SLAs, and data quality.
- Build, coach, and develop a high-performing analytics engineering team.
- Partner with data science, finance, marketing, sales, product, and engineering to prioritize the roadmap and define measurable outcomes.
- Scale data self-service and literacy through documentation, training, and enablement.
- Guide ETL/ELT architecture, operational excellence, code review, version control, monitoring, and root-cause analysis.
Requirements
- 10+ years of experience in analytics engineering, data engineering, or analytics.
- Strong hands-on SQL, Python, and data modeling expertise.
- 3+ years of people leadership experience, including hiring, coaching, and performance management.
- Experience defining semantic layers, building scalable dashboards, and selecting, configuring, and governing BI tools such as Looker.
- Experience operating ETL/ELT pipelines with robust validation, monitoring, and high data quality standards.
- Excellent communication and cross-functional collaboration skills, with a track record of delivering projects and measurable outcomes.
Nice to have
- Experience with consumer products, user-generated content, and ad-supported business models.
- Experience with GitHub or other version-controlled code and Python scripting.
- Experience with agile or Kanban workflows.
Culture & Benefits
- AI-first environment using tools such as Claude, Gemini, ChatGPT, and Glean.
- Inclusive culture focused on learning, operational excellence, and stronger local communities.
- Remote work with in-person company events and office collaboration expectations where applicable.
- Equity grant with quarterly vesting and an initial vest date within three months of starting.
- Multiple health plan options, including a fully covered employee-only plan, plus OneMedical membership.
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