Senior Data Analyst

Summary

Join Abnormal Security's product team as a Product Analyst and partner with product teams to make data-driven decisions. You will shape product strategy, guide development with insightful analysis, and become a subject matter expert in metrics and success measurement. Your responsibilities include providing actionable insights, identifying feature opportunities, defining user paths, owning experimentation, translating broad questions into research plans, building dashboards, and exploring data for product recommendations. Success in this role requires a quantitative degree, relevant experience in data analysis, SQL proficiency, and experience with data visualization tools. You'll be successful if you are passionate about data analysis, product-driven, and enjoy using technology to enhance the consumer experience.

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

Responsibilities

• Provide actionable insights to help product managers understand trends, customer dynamics, and user behaviors
• Identify 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

Benefits

• Bonus
• Restricted stock units (RSUs)
• Benefits