We are looking for an inquisitive, detail-oriented individual with deep knowledge of product analytics to join our Security team as a Senior Product Analyst. In this position, you will play a crucial role in the end-to-end data process, including designing data models and events, building metrics and KPIs, initiating analysis, and implementing processes and project management. You will drive data culture and work closely with various departments across the organization.
As a Senior Product Analyst you will
Design and implement data models and events: Create and maintain robust data models that accurately capture essential metrics and KPIs
Collaborate on metrics and KPIs: Work with stakeholders across the organization to define and build key performance indicators and main product metrics
Develop and maintain dashboards: Use Tableau to create comprehensive dashboards that provide scalable insights and monitoring of key metrics
Build semantic layer tables: Develop semantic layer tables using business logic to facilitate smooth and efficient data analysis
Conduct deep data analysis: Perform complex data analysis to uncover trends, patterns, and actionable insights that drive product and business decisions
Evaluate product performance: Continuously assess the performance of existing products and features, identifying areas for improvement and optimization
Collaborate with cross-functional teams: Interact with product managers, UI/UX designers, R&D, sales, solution engineers, and marketing teams to identify opportunities for improvement and ensure data-driven decision-making
Communicate findings effectively: Present analytical results and business recommendations to multiple stakeholders using clear visual displays of quantitative information
Drive data culture: Implement processes and project management strategies to promote data literacy and a data-driven culture across the organization
Build and optimize data pipelines: Work with diverse data sources to build efficient data pipelines that ensure data accessibility and reliability. Collaborate with data engineers to optimize and automate ETL processes
End-to-end data care: Manage the entire data lifecycle from data generation and collection to analysis and presentation.
Requirements: 5+ years of experience as a Product Analyst/ Data Analyst/ Business Analyst
Bachelors degree in a quantitative field such as Engineering, Mathematics, Physics, Economics, or Social Sciences
Knowledge in end-to-end data pipelines, ETL processes and integrations
Skilled in designing events and data modeling
High proficiency in SQL, including complex queries, building tables, and creating business logic from scratch
Experience with Tableau for data visualization
Strong analytical skills
Skilled in designing and building KPIs and metrics from the ground up
Experience collaborating with stakeholders from the Product organization
Track record of leading data projects and initiatives
Familiarity with analytics platforms such as Heap, Mixpanel, Hotjar, Appcues, etc.
Competence in designing and executing A/B tests and performing statistical analysis
Demonstrated ability as an individual contributor
Knowledge of Python is a plus.
This position is open to all candidates.