Lead Assistant Manager – Senior Business Analyst
EXL
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇲🇽 Mexico
Visit company websiteJob Level
Senior
Tech Stack
SQL
About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLSnowflakeSASdata exploration techniquesanalytical frameworksfraud analyticscoding practicesdata-driven narrativesstorytelling techniquesBilling & Payments data
Soft skills
critical thinkingcollaborationproject managementstakeholder engagementcommunication skillsability to distill complex analysesfostering collaborationcontinuous improvementanalytical thinkingbusiness analysis
Certifications
Bachelor’s degree in Data ScienceBachelor’s degree in StatisticsBachelor’s degree in EconomicsMBAadvanced degree in Business Analyticsadvanced degree in Strategyadvanced degree in Finance