Data Product Manager

1 week ago

Sunnyvale, CA, United States Rootshell Enterprise Technologies Full time
Data Product Manager - Sunnyvale CA 94085 - In Person Interview - Need Locals Only

Key Qualification

7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.

Strong proficiency with SQL-based languages is required.

Experience with large-scale data technologies such as Hadoop, PySpark

Proficiency with data visualization tools such as Tableau, , and/or Microstrategy for analysis, insight synthesis, data product delivery, and executive presentation.

Job Description

Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.

Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting

Closely partner with our Data Science team to define metrics, datasets, and automation strategy Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.

Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.

Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery

Education
  • Minimum of a bachelor's degree in computer science, Statistics, Mathematics, Engineering, Economics, or related field.

Technical Product Management Key Qualifications :

Experience in a Technical Product Management role, preferably for a digital-media or subscription business.

Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis

Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies

Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders.

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