21 час назад
Senior Data Analytics Manager
130 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analytics Manager (Product Analytics/BI): Transforming complex customer and product usage data into strategic insights, scalable dashboards, and self-service analytics capabilities with an accent on product performance, data governance, and cross-functional decision-making. Focus on building BI solutions, analyzing customer behavior and feature adoption, and operationalizing trusted data across product, sales, customer success, and engineering teams.
Location: Arlington, Virginia, United States
Salary: $130,000–$170,000 per year
Company
provides information and data-driven products for professional and business users.
What you will do
- Enable and govern the Amplitude product analytics platform, including Guides & Surveys, documentation, best practices, and cross-functional support.
- Partner with Product, Personalization, Engineering, Sales, and Customer Success teams to use behavioral data in product experiences and business decisions.
- Own the evolution of customer usage reporting, prioritize recurring business needs, and expand self-service access to trusted usage insights.
- Analyze customer behavior, feature adoption, usage patterns, and performance metrics to provide actionable recommendations.
- Design, build, and maintain scalable dashboards and reports for KPIs, success metrics, and end-user engagement.
- Lead analytics quality assurance, auditing, data collection, governance, and responsible data use across relevant systems.
Requirements
- Bachelor’s degree in Business, Mathematics, Statistics, Computer Science, a related field, or equivalent practical experience.
- 7+ years of data analysis experience with large, complex, multi-source datasets, including descriptive and predictive techniques.
- 3+ years of product analytics experience and experience presenting insights to senior leadership or high-level audiences.
- Experience with Databricks or similar data platforms, large-scale datasets, data platforms, and pipelines.
- Intermediate to advanced SQL, Python, and BI tools such as Tableau or Power BI.
- Strong knowledge of customer journey analytics, KPI development, data storytelling, stakeholder discovery, data privacy, and compliance practices.
Culture & Benefits
- Full-time employment with equal opportunity and non-discrimination commitments.
- Cross-functional collaboration across Product, Engineering, Marketing, Sales, and Customer Success.
- Salary placement depends on experience, demonstrated skills, education, certifications, and geographic location.
Hiring process
- Candidates may be required to complete a position-related test.
- Final salary placement is determined after the interview process.
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