21 час назад
Staff Product Data Analyst (Product Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Data Analyst (Product Analytics): Leveraging data to drive strategic decision-making and optimize product performance with an accent on actionable insights and KPI development. Focus on designing A/B tests, analyzing user behavior, and partnering with product leadership to influence the product roadmap.
Location: Remote (LATAM)
Company
A digital experience analytics platform that helps companies understand and optimize their customer journeys.
What you will do
- Identify and establish core KPIs to measure product success and align them with business objectives.
- Empower product teams with advanced analytical tools and methodologies to foster a data-driven culture.
- Shape the experimentation strategy by designing A/B tests, validating technical setups, and guiding stakeholders on results.
- Conduct deep-dive analyses of product performance and user behavior to identify optimization opportunities.
- Collaborate with Product Researchers to uncover customer journey insights and proactively influence the roadmap.
- Partner directly with the Director and VP of Product to drive growth and product self-serve conversion.
Requirements
- Proficiency in statistical analysis, data modeling, and data visualization.
- Expertise in SQL, DBT, Excel, and Tableau (or similar software).
- Proven experience as a Data Analyst and a degree in business or engineering.
- Ability to convey complex data insights clearly to non-technical stakeholders.
- Experience working in cross-functional environments with PMs, engineers, and designers.
- Must be based in Latin America (LATAM).
Nice to have
- Prior experience using the platform.
- Understanding of machine learning concepts and predictive modeling for user behavior.
- Previous experience in product management or close collaboration with product leaders.
Hiring process
- The recruitment team may use AI tools to assist in reviewing applications and assessing responses, though final decisions are made by humans.
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