Senior Product Data Analyst

About the position

We are looking for a Product Analyst to join our product team at Abnormal Security. As a Product Analyst, you’ll partner closely with the product teams to help make better decisions that power our business. You will shape strategy for critical product areas through data, and will guide product development with relevant insights based on analysis. You will be the subject matter expert on metrics and success measurement, experiment design and visual storytelling via data. You are focused on impact, and have the skill to understand customers and promote growth. You should demonstrate curiosity, data fluency, and a collaborative work ethic.

Responsibilities

• Providing actionable insights to help product managers understand trends, customer dynamics, and user behaviors
• Identifying and quantitatively sizing feature opportunities based on user insights, to inform our overall Product strategy
• Partnering with product managers to define common user paths and actions, and owning data instrumentation and architecture components
• Own experimentation and launch design including A/B testing setup, execution, and analysis. Inform Product partners through clear interpretation of results
• Translating broad questions into plans for research and discovery, perform proactive data exploration, and communicate the results in a compelling way
• Partnering with the Product team to understand key business health questions, and build a dashboard suite that will become the go-to resource for common themes and reduce time to insight
• Becoming an expert in a specific product areas, handle KPI reporting used to measure the health of the business and provide critical visibility of our data to Product Managers, Engineering and other business teams
• Exploring data to find actionable insights and make product recommendations through funnels, cohort analyses, and long-term trend investigations

Requirements

• A BA/BS degree in a quantitative discipline: computer science, statistics, applied mathematics, operations research, engineering, economics, etc.
• 3+ years of work experience in process execution, business intelligence, dashboarding, reporting, or data analysis
• Fundamental understanding of predictive modeling and/or forecasting techniques
• 3+ years of experience with manipulating large data sets using SQL
• 2+ years of experience with Databricks, or comparable data visualization tools
• Experience developing product metrics and build end-to-end data pipelines that transform raw data into actionable insights
• Prior experience creating intuitive dashboards in Grafana that effectively communicate performance trends to stakeholders
• Ability to translate complex data findings into compelling narratives that drive strategic business decisions
• A passion to get deep into the weeds with data and understand edge cases and how to best represent them
• Experience building relationships with teammates, influencing decisions at a variety of levels and across multiple teams

Benefits

• Bonus eligibility
• Restricted stock units (RSUs)
• Comprehensive benefits package