Product Analyst II

Summary

Join Braze as a data analyst and leverage your passion for data to influence product development. You will analyze massive datasets, create insightful reports and dashboards, and collaborate with cross-functional teams. This role requires a strong analytical background, experience with data visualization and analysis tools, and excellent communication skills. You will participate in product planning and prioritization, ensuring successful product launches. The ideal candidate possesses experience with programming languages, NoSQL databases, and Agile methodologies. Braze offers competitive compensation, comprehensive benefits, and opportunities for professional development.

Requirements

• BA/BS in Statistics, Math, Economics, Computer Science, or a similar technical discipline
• 2-4 years of experience in product analysis or related roles, with a focus on SaaS products
• Experience with Programming and/or Scripting Languages (Python, Ruby, C++, Java, etc.)
• Experience with data visualization tools (Looker, Tableau, Mode)
• Knowledge of advanced statistical analysis techniques (forecasting, time-series analysis, logistic regression, Machine Learning, etc.)
• Experience with Agile product development methodologies and tools (e.g., JIRA)
• Strong analytical skills and experience working with data analysis tools and methodologies
• Experience with NoSQL databases (MongoDB, Redis)
• Excellent communication skills and ability to work effectively in a team environment
• Knowledge of UX design principles and ability to work closely with design teams to develop effective and user-friendly product interfaces

Responsibilities

• Analyze billions of mobile and digital messaging data points
• Identify reports, dashboards, and analyses needed by the business
• Participate in product planning and prioritization, and work closely with engineering, design, and quality assurance teams to ensure successful product launches and releases
• Collaborate with cross-functional teams to translate business requirements into user stories, use cases, and functional specifications

Benefits

• Competitive compensation that may include equity
• Retirement and Employee Stock Purchase Plans
• Flexible paid time off
• Comprehensive benefit plans covering medical, dental, vision, life, and disability
• Family services that include fertility benefits and equal paid parental leave
• Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend