20 часов назад
Data Analytics Manager
160 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analytics Manager (SQL/dbt/Looker): Building scalable data models, dashboards, and reporting solutions that help cross-functional leaders measure performance and make data-driven decisions with an accent on KPI definition, data quality, and stakeholder analytics. Focus on designing efficient data pipelines, optimizing large-scale SQL queries, and identifying opportunities for experimentation and business improvement.
Location: Brooklyn, NY at HQ; office-centric work with the option to work remotely on Fridays
Salary: $160,000–$190,000 anticipated annual base salary
Company
is a circular fashion technology company offering subscription, rental, and ownership access to designer apparel and accessories through proprietary technology and reverse logistics.
What you will do
- Lead strategic analytics initiatives and identify data visibility gaps with cross-functional teams.
- Partner with Product and Engineering to define and collect data required for business objectives.
- Develop scalable, reusable, and documented data models for dashboards, reports, and analysis.
- Collaborate with Data Engineering to design, optimize, and maintain reliable data pipelines.
- Analyze business performance to identify optimization, experimentation, and improvement opportunities.
- Define and monitor KPIs and build user-friendly Looker dashboards and reports.
Requirements
- 6+ years of hands-on experience working with large, complex datasets and delivering analytics solutions.
- Bachelor’s degree in a quantitative field such as Computer Science, Physics, Mathematics, or Statistics.
- Highly proficient in SQL, including efficient query development for large-scale datasets.
- Experience with data modeling, dimensional modeling, and dbt.
- Experience building and maintaining dashboards in Looker or comparable BI tools.
- Experience managing analytics projects end-to-end and communicating with business, engineering, and product stakeholders.
Nice to have
- Experience with event data or user and product analytics tools such as Heap.
- Advanced degree or relevant specialization.
Culture & Benefits
- Paid time off, bereavement leave, and family sick leave.
- Universal paid parental leave and a flexible return-to-work program.
- Paid sabbatical after five years of continuous service.
- Employee subscription and rental discounts.
- Health, vision, dental, FSA, dependent care, and 401(k) match from the start of employment.
- Company-wide events and outings.
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