Sr. Principal Cyber Metrics & Reporting Engineer - Remote US

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Requirements:

• Minimum Bachelor's degree in Cybersecurity, Data analytics, Information Systems, or a related field.
• A minimum of 8 years of demonstrable experience in cyber metrics and reporting, business analytics, requirements analysis, forecasting, industry research, planning, and/or management consulting required to enable data storytelling to enable visualization
• Experience in SQL data modeling, SQL query development and understanding of ETL is required.
• Understanding of designing and developing cybersecurity dashboards using tools like Tableau, Power BI, or similar.
• Strong experience with requirements analysis and testing
• Awareness of relevant industry trends and standard processes in cybersecurity metrics and reporting.
• Ability to collect, analyze, and interpret large datasets to derive relevant insights and trends.
• Ability to effectively collect and communicate complex information to customers.
• Proactive and self-motivated approach to work, with excellent problem-solving and analytical skills.
• Superb communication and storytelling skills, with the ability to shape messages for various audiences; including insights to executive-level audiences.
• Analytical approach, with the ability to analyze data and identify insights.
• Strong collaboration and customer management skills with a track record of successful delivery across multi-functional teams.
• Ability to work effectively at all levels of the organization, from executive committee to individual employees.
• Demonstrated Project Management, Scrum, Agile skills is required

Responsibilities:

• Shape, develop and implement an effective cybersecurity metrics & reporting requirements capability
• Partner with customers to define report requirements, ensuring clarity and feasibility
• Documents detailed reporting specifications, including data sources, metrics, and presentation format.
• Validates report designs, data, and developed reports against business requirements.
• Conducts detailed testing on reports, focusing on data preciseness, visual integrity, and usability.
• Works with visualization and data & analytics teams to resolve any identified issues.
• Conduct data discovery tied to requirements, including exploratory data analysis, data quality assessment.
• Analyze requirements and data sources to identify patterns, key insights, action items, and storytelling potential.
• Translate data into value while assessing effective data visualization, experience design and trending analytics linked to business and cybersecurity objectives.
• Describe the key elements of a successful data story: knowing one’s audience, defining a goal, maintaining engagement, and being explicit about the takeaways.
• Measure how a data story achieves its intended goals and where it can be optimized.
• Identify, design and implement requirements to inform reporting, dashboards and strategy.
• Identify and create metrics to measure performance through automated dashboards.