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Lead Assistant Manager
hace 2 semanas
We are seeking a highly skilled and independent Senior Business/Data Analyst to join our Fraud Analytics team. This role is pivotal in driving effective fraud lead generation strategies, enhancing operational performance, and delivering actionable insights through advanced data analysis. The ideal candidate will possess strong technical expertise, strategic thinking, and exceptional communication skills to collaborate across cross-functional teams and influence decision-making.
Responsibilities
• Fraud Lead Generation & Data Exploration
Develop, code, and test advanced analytical scenarios to identify effective fraud leads for operational investigation. Utilize tools such as SQL, Snowflake, and SAS to explore data and analyze results.
• Analytical Framework Development
Design and implement analytical frameworks to assess and value potential fraud leads within Billing & Payments, applying critical thinking and domain expertise.
• Cross-Functional Collaboration
Partner closely with Fraud Hub leadership to align on strategic priorities. Collaborate with Data Science and Reporting teams to integrate insights into dashboards and modeling solutions.
• Operational Review & Strategic Insights
Lead the monthly operational review (MOR) process by delivering data-driven narratives that highlight performance drivers and provide actionable recommendations.
• Coding Standards & Knowledge Sharing
Define and document best-in-class coding practices for fraud analytics. Promote a "build-once-reuse-many" approach and contribute to institutional knowledge through thorough documentation.
Storytelling & Executive Communication
• Business One-Pagers for Senior Stakeholders
Demonstrate the ability to distill complex analyses into clear, concise, and visually compelling one-pagers tailored for executive audiences. These documents should drive strategic conversations and decision-making.
• Narrative-Driven Insights
Translate data into meaningful stories that highlight trends, risks, and opportunities. Use storytelling techniques to make insights memorable and actionable for both technical and non-technical stakeholders.
Qualifications
• Technical Proficiency
Advanced experience in SQL, Snowflake, SAS, and data exploration techniques. Strong understanding of Billing & Payments data is a plus.
• Independent Problem Solving
Demonstrated ability to manage complex analyses with minimal supervision and deliver high-impact results.
• Project Management
Proven ability to manage timelines, set expectations, and ensure stakeholder engagement throughout project lifecycles.
Business Analysis & Strategic Frameworks
• Apply business analyst skills to define requirements, assess fraud lead value, and optimize investigation strategies.
• Develop analytical frameworks to evaluate Billing & Payments fraud leads and support decision-making.
• Proactive & Strategic Mindset
Continuously seeks improvement opportunities and contributes to resource development and knowledge institutionalization.
• Communication & Stakeholder Management
Exceptional written and verbal communication skills. Ability to explain technical concepts to non-technical audiences and foster collaboration across teams.
Education:
• Bachelor's degree in a quantitative field such as Data Science, Statistics, Economics, or related discipline required.
• MBA or advanced degree preferred, especially with a focus on Business Analytics, Strategy, or Finance.
