17 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Sr. Data Analyst (Product Analytics)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Sr. Data Analyst (Product Analytics) (Product Analytics): Turning product and business data into actionable insights for product strategy, growth, and customer experience with an accent on funnel analysis, retention, experimentation, and event tracking. Focus on defining success metrics, building self-service analytics, integrating data from multiple systems, and improving data reliability.
Location: San Francisco, CA, United States; hybrid workplace
Company
is a no-code and AI platform for designing, developing, and deploying native mobile applications without code.
What you will do
- Partner with Product, Marketing, Leadership, Engineering, and Design to identify opportunities and influence product strategy through data.
- Conduct product and growth analyses covering funnels, cohorts, retention, segmentation, monetization, user behavior, and experimentation.
- Define success metrics and evaluate the impact of features, experiments, and product initiatives.
- Build dashboards, recurring reports, and self-service analytics for data-informed decision-making.
- Collaborate with engineers to design, implement, validate, and maintain event tracking in React-based interfaces.
- Integrate data from Amplitude, advertising platforms, payment systems, CRM, and other sources while troubleshooting tracking and data-quality issues.
Requirements
- BA/BS degree or equivalent experience.
- 3+ years of experience in data science, data analytics, or another quantitative role.
- Experience with product analytics, experimentation, funnel analysis, retention, and user behavior analysis.
- Experience with event-tracking instrumentation and collaboration with engineering teams.
- Experience working with real-time and historical data, including cleaning, processing, analysis, modeling, and insights delivery.
- Proficiency with SQL and statistical programming tools such as R or Python, plus product and marketing analytics tools such as Amplitude or Google Analytics.
Nice to have
- Experience improving data pipelines, data storage, and analytical frameworks.
- Experience with JavaScript-based event tracking or Google Tag Manager.
Culture & Benefits
- Startup environment with a focus on creativity, openness, transparency, persistence, and entrepreneurialism.
- Competitive compensation and equity.
- Unlimited paid time off.
- Health, wellness, and training budget.
- Global remote flexibility is offered as a company benefit.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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