2 часа назад
Lead Product Data Analyst
75 000 - 100 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Product Data Analyst (SQL/dbt/Python): Building trusted metrics, reporting systems, and documented datasets for the supply side of an on-demand home-services marketplace with an accent on advanced analysis, analytics engineering, and stakeholder decision support. Focus on resolving conflicting metrics, modeling retention and ETA, enabling self-serve reporting, and turning analysis into business decisions.
Location: Remote within Brazil; listed cities include São Paulo, Belo Horizonte, Rio de Janeiro, Curitiba, and Florianópolis
Salary: $75,000–$100,000 USD annually
Company
operates an on-demand marketplace for lawn care, outdoor services, and a broader range of home services.
What you will do
- Analyze marketplace performance, including supply, demand, pricing, service quality, retention, and ETA metrics.
- Run analyses ranging from A/B tests to multivariate models using advanced SQL and Python or R.
- Create and maintain accurate, current reporting systems and dashboards in Lightdash.
- Build clean, documented datasets and transformation models in dbt.
- Partner with product managers, researchers, and business stakeholders on prioritization, assessments, and recommendations.
- Improve self-service analytics, documentation, and data literacy across the company.
Requirements
- Advanced SQL skills and experience with data modeling and transformation.
- Intermediate Python or R for statistical analysis and analytical deep dives.
- Experience with dbt and analytical datasets or data warehouse layers.
- Ability to work autonomously as a trusted thought partner and connect analysis to business decisions.
- Daily use of AI tools such as Claude, ChatGPT, or Copilot for SQL, dbt, analysis, and reporting workflows.
- English resume required; applications without one will not be considered.
Culture & Benefits
- Fully remote work with US-facing partners and flexibility to manage the working environment and overlap hours.
- AI tooling, including Claude routines supporting experimentation, is provided.
- Flexible PTO measured by outcomes rather than hours logged.
- Individual-contributor Lead role with no people-management responsibility.
- Emphasis on intellectual honesty, collaboration, learning, business impact, and bias for action.
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