Abnormal provides total protection against the widest range of email attacks including phishing, malware, ransomware, social engineering, executive impersonation, supply chain compromise, internal account compromise, spam, and graymail.

As the Senior Data Analyst for the R&D Engine Team at our company, you will play a critical role in defining, implementing, and monitoring metrics that drive the performance and effectiveness of our Product Divisions and Standing Teams. Your expertise in data analysis and metrics management will ensure that our teams are aligned with our strategic goals and are consistently delivering high-quality results. You will be responsible for the end-to-end metrics program, from defining stable and effective metrics to conducting regular inspections to ensure adherence and quality.

Key Responsibilities

• Metrics Program Management: Develop and oversee the metrics program for Divisions and Standing Teams, ensuring that metrics are defined, implemented, and monitored effectively.
• Metrics Definition Process: Lead the process of defining metrics for teams, ensuring that they are stable, effective, and aligned with our strategic objectives.
• Metrics Inspection Process: Conduct regular inspections of metrics at all levels (Standing Team, Product Division, R&D) to ensure consistency, accuracy, and effectiveness.
• Data Analysis and Reporting: Analyze data and provide insights to support decision-making and continuous improvement within R&D teams.
• Stakeholder Collaboration: Work closely with R&D leadership, Product Division heads, and Standing Team leads to ensure that metrics are understood, adopted, and utilized effectively.
• Process Improvement: Continuously evaluate and improve the metrics definition and inspection processes to enhance their relevance and impact.
• Training and Support: Provide training and support to teams in understanding and utilizing metrics effectively.

Key Metric for the Role:

• Percentage of Standing Teams using a consistent metrics process.
• Hygiene of the metrics and the process adopted at the team level.

Qualifications

• Proven experience as a Data Analyst, preferably in a technology or R&D-focused environment.
• Strong understanding of metrics development, data analysis, and reporting.
• Excellent analytical and problem-solving skills.
• Experience with data visualization tools and techniques.
• Strong communication and collaboration skills, with the ability to engage effectively with diverse teams.
• Ability to manage multiple priorities and projects in a fast-paced environment.