Business Intelligence & Data Analytics Lead, Audible Fraud Defense

At Audible, we believe stories have the power to transform lives. It's why we work with some of the world's leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

ABOUT THIS ROLE

As the Business Intelligence & Data Analytics Lead for the Audible Fraud Defense team, you will pilot the data analytics and insights function and report to the head of the Audible Fraud Defense program. In this role, you will be responsible for providing the data-driven decision support and insights that are critical to the team's mission of detecting, preventing, and mitigating fraud across Audible's creator and customer ecosystem. You will collaborate closely with partners and key stakeholders across Audible and Amazon to protect Audible's integrity and trustworthiness for creators, producers, and customers. As the subject matter expert, you will work to safeguard Audible's reputation and ensure a secure environment for all stakeholders involved.

ABOUT YOU

The ideal candidate will have a strong background in data analytics, business intelligence, and reporting, with experience supporting high-impact, data-driven initiatives. You should be adept at working collaboratively with cross-functional teams, have excellent communication skills, and be passionate about using data to solve complex business challenges. We're looking for an analytical and creative thinker, with the ability to ask the right questions and develop a point of view that will influence business decisions. If your ideal job involves working with one of the richest data sets in the world, communicating your insights with leaders across the organization, and having the ability to see your work turned into action, this position may be for you.

As a Business Intelligence & Data Analytics Lead, you will..

Partner closely with the Fraud Defense team's Applied Scientist to establish the data pipelines, modeling, and analytical capabilities required to fuel the development and continuous improvement of the team's machine learning-powered fraud detection and monitoring initiatives. This will involve ensuring the availability of high-quality, well-structured data

Develop and maintain a comprehensive suite of dashboards, reports, and ad-hoc analyses to track key fraud metrics, identify emerging trends and patterns, and surface high-risk accounts and activities for further investigation. You will work cross-functionally to understand the team's evolving data and reporting needs

Define the Fraud Defense team's core KPIs and performance metrics, ensuring they provide a clear and accurate view of the team's impact in protecting Audible's financial integrity and preserving trust with creators and customers

Leverage advanced data analytics techniques, including predictive modeling and anomaly detection, to uncover hidden insights and proactively identify potential fraud risks before they materialize. You will collaborate with key stakeholders to translate these insights into actionable strategies for fraud prevention and mitigation

Establish a robust, automated reporting and forecasting infrastructure to track the Fraud Defense team's performance and simulate the potential impact of various initiatives. This will inform the team's strategic decision-making and ensure accountability

Serve as a strategic data and insights partner to the Fraud Defense leadership, translating complex data into clear, compelling recommendations to guide the team's continuous improvement and drive measurable results

Foster a strong data-driven culture within the Fraud Defense team, empowering team members to leverage data and analytics to inform their day-to-day work and surface new opportunities for enhancing the team's fraud detection and prevention capabilities

ABOUT AUDIBLE

Audible is the leading producer and provider of audio storytelling. We spark listeners? imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.

Basic Qualifications

6+ years of relevant experience in data analytics, business intelligence, or a related quantitative field

Bachelor's degree in a quantitative discipline such as Computer Science, Economics, Mathematics, or a related technical field

Experience in data modeling, reporting, and dashboard development, with proficiency in SQL, data visualization tools (e.g., Tableau), and programming languages (e.g., Python, R)

Experience leveraging advanced analytics techniques, including predictive modeling, anomaly detection, and simulations, to uncover insights and inform strategic decision-making

Experience in partnering with cross-functional teams and stakeholders to translate complex data into clear, actionable recommendations

Communication and presentation skills, with the ability to effectively tailor insights to technical and non-technical audiences

Experience working in a fast-paced, high-growth environment, with a strong ability to prioritize, multitask, and deliver results under tight deadlines

Preferred Qualifications

Advanced degree (e.g., MBA, MS in Analytics) or additional certifications in data science, business intelligence, or a related field

Experience working in the e-commerce, media, or fraud detection/prevention domains

Familiarity with machine learning concepts and techniques, and experience applying them to solve complex business problems

Ability to work independently, demonstrate thought leadership, and drive strategic initiatives

Strong business acumen and understanding of key performance metrics and their impact on the overall business

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.