Lead Assistant Manager – Senior Business Analyst
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Job Description
Senior Business/Data Analyst in Fraud Analytics responsible for data analysis and insights. Collaborating on fraud lead generation and operational performance optimization.
Responsibilities:
- 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.
- Design and implement analytical frameworks to assess and value potential fraud leads within Billing & Payments, applying critical thinking and domain expertise.
- 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.
- Lead the monthly operational review (MOR) process by delivering data-driven narratives that highlight performance drivers and provide actionable recommendations.
- 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.
- 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.
- 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.
Requirements:
- Advanced experience in SQL, Snowflake, SAS, and data exploration techniques. Strong understanding of Billing & Payments data is a plus.
- Demonstrated ability to manage complex analyses with minimal supervision and deliver high-impact results.
- Proven ability to manage timelines, set expectations, and ensure stakeholder engagement throughout project lifecycles.
- 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.
- Continuously seeks improvement opportunities and contributes to resource development and knowledge institutionalization.
- Exceptional written and verbal communication skills. Ability to explain technical concepts to non-technical audiences and foster collaboration across teams.
- 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.
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