Experienced Full Stack Data Analyst – Risk Management and Analytics

At arenaflex, we're revolutionizing the way we approach risk evaluation and mitigation. Our innovative approach to risk measurement is shaping our navigation and guiding us in focusing on risk reactions and control plans. Our risk program is seeking a highly skilled and motivated individual to join our team as we continue to help the business grow their confidence and ability to: * Utilize data analysis to improve independent decision-making * Provide data-driven insights to leaders to reduce uncertainty * Identify and implement effective procedures to mitigate technology risks To support our mission, we're looking for a talented data analyst who can help us develop a program that promotes risk measurement, statistical modeling, and impact analysis to increase our trust in risk response activities. You will play a key role in establishing and executing a comprehensive strategic vision for the risk program at arenaflex. You will work closely with our team and collaborate with other departments across the organization to drive results. Why You'll Love This Opportunity * You're passionate about exploring and envisioning how data analysis can help illuminate risk-based decision-making * You understand and advocate for risk management and recognize how data supports scientific models and impact direction * Our organization culture empowers autonomous decision-making by employees * You have a strong interest in risk management, data security, statistics, professional security practices, and effective control plans * You're skilled at visualizing risk data for stakeholders to consume and use effectively What It Takes to Succeed in This Role * You'll enjoy creating key risk indicators, contributing to the development of key control metrics, and key performance indicators for various projects * You're eager to learn and apply statistical models to risk frameworks (FAIR, Monte-Carlo with Spunky distributions, responsiveness analysis, and others) * You have knowledge of R, Python, SQL, and other programming languages * You're familiar with tools like Tableau or other data visualization and exploration tools * You understand relevant data collection, data cleaning, and data analysis methods * You can participate in risk management, navigation, and collaborative conversations * You can contribute to and support measured risk assessments and recognize the value of subjective data for improvements to quality and design cycles * You can use data security risk expertise to develop loss event scenarios across business units, specialty teams, projects, and products * You can decipher internal or external network security risk assessments in business terms and suggest a capable plan * You can develop templates and informative materials to support self-service risk management activities based on defined risk resiliences * You can identify and recognize opportunities to improve the effectiveness of risk management processes Guiding Principles – Must-Haves * Meticulousness * Inclusivity * A deep understanding of how to operationalize risk management as part of standard work processes * Ability to independently drive work delivery (inclination to action) * Strong communication (technical, status/blockers, cross-functional) * Cross-functional collaboration What We Offer * A dynamic and innovative work environment * Opportunities for career growth and professional development * Collaborative and inclusive team culture * Competitive compensation and benefits package * Flexible work arrangements and remote work options How to Apply If you're a motivated and experienced data analyst looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience.

Job Description

At arenaflex, we're committed to creating a culture of innovation and excellence. Our risk management program is a critical component of our business, and we're seeking a highly skilled data analyst to join our team.

Key Responsibilities

• Create key risk indicators, contribute to the development of key control metrics, and key performance indicators for various projects
• Apply statistical models to risk frameworks (FAIR, Monte-Carlo with Spunky distributions, responsiveness analysis, and others)
• Develop loss event scenarios across business units, specialty teams, projects, and products
• Decipher internal or external network security risk assessments in business terms and suggest a capable plan
• Develop templates and informative materials to support self-service risk management activities based on defined risk resiliences
• Identify and recognize opportunities to improve the effectiveness of risk management processes

Essential Qualifications

• Bachelor's degree in a relevant field (e.g., mathematics, statistics, computer science)
• Strong knowledge of R, Python, SQL, and other programming languages
• Familiarity with tools like Tableau or other data visualization and exploration tools
• Understanding of relevant data collection, data cleaning, and data analysis methods
• Ability to participate in risk management, navigation, and collaborative conversations
• Ability to contribute to and support measured risk assessments and recognize the value of subjective data for improvements to quality and design cycles

Preferred Qualifications

• Master's degree in a relevant field (e.g., mathematics, statistics, computer science)
• Experience with data security risk expertise and loss event scenarios
• Knowledge of FAIR, Monte-Carlo with Spunky distributions, responsiveness analysis, and other statistical models
• Experience with data visualization and exploration tools like Tableau
• Ability to independently drive work delivery and strong communication skills

What We Offer

At arenaflex, we offer a dynamic and innovative work environment, opportunities for career growth and professional development, a collaborative and inclusive team culture, competitive compensation and benefits package, and flexible work arrangements and remote work options.

How to Apply

If you're a motivated and experienced data analyst looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience.

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