Business Intelligence Specialist (Fraud & Risk Ops)
Mexico City, Mexico · Hybrid
Mid level$23B raised
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Skills: SQL, Hive SQL, Tableau, Power BI, Advanced Excel
Business Intelligence Specialist — Collections Ops
Mexico City, Mexico · Hybrid
Mid level$23B raised
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Skills: SQL, Hive SQL, Tableau, Power BI, Advanced Excel
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Business Intelligence Specialist (Fraud & Risk Ops)
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Other
Posted 4h ago
Apply by Aug 12
~40 hrs/week
Responsibilities
The specialist will design and calculate performance bonus schemes while maintaining operational metrics and dashboards for the collections team. They act as a key liaison between local operations and global BI teams to provide data-driven insights that optimize recovery strategies.
Requirements
Candidates must possess advanced proficiency in SQL, BI visualization tools, and Excel, along with a strong understanding of collections and recovery analytics. The role requires the ability to translate complex data into actionable recommendations and collaborate effectively across cross-functional teams.
Full job description
Company Overview
DiDi es la plataforma de tecnología de movilidad más grande del mundo. Con más de 10 años en el mercado, somos la empresa líder en servicios basados en aplicaciones para transporte inteligente, entrega de alimentos y servicios de pago. Haciendo la vida mejor y más fácil para las personas todos los días.
Cuando te unes a Didi, vas a formar parte de una comunidad abierta, inclusiva y diversa de más de 12,000 empleados en todo el mundo. Desde el primer día encontrará una rica cultura global colaborativa donde sus responsabilidades tendrán un impacto directo en la estrategia y el crecimiento de la empresa.
#LI-Hybrid
Team Overview
The Collection Business Intelligence Specialist provides analytical and strategic support to Collections Operations team. This role is responsible for analyzing designing, calculating, and updating performance bonus schemes, maintaining operational metrics (KPIs / OKRs), and producing actionable insights to drive collection efficiency.
The position requires a strong technical skills on SQL, power BI, Tableu, advanced Excel. As well as understanding of recovery processes, delinquency metrics, and call center management in the collections environment. The specialist will support forecasting and dashboard development, perform in-depth performance analyses, and provide clear, data-driven recommendations to optimize strategies and floor performance.
This role also acts as a key liaison between the local operations team and the BI team in China, and Strategy local Team, ensuring alignment and operational interpretation of global delinquency dashboards.
Role Responsibilities
Key Responsibilities
Performance Bonus Design & Calculation
Design, calculate, and update performance bonus schemes for the Collections Operations team.
Ensure incentive models are aligned with the area’s OKRs, policy guidelines, and budget constraints.
Monitor bonus effectiveness, ensuring targets are both achievable and performance-driven.
Reconcile results with Supervisors and Managers, communicating outcomes clearly and on time.
Update calculation methods and ranges upon managerial request, running simulations to validate reliability and financial feasibility.
Operational Metrics & Reporting
Build and maintain key operational metrics, ensuring data consistency and accuracy.
Generate regular performance reports with clear conclusions and actionable recommendations to improve recovery effectiveness.
Analyze collection trends, delinquency behavior, and campaign performance to identify root causes and areas for improvement.
Provide data-backed insights to guide management decisions on strategy, campaign adjustments, and workforce focus areas.
Forecasting & Strategy Support
Support the design of collection strategies through volume forecasting and behavior analysis by product, bucket, and channel.
Collaborate with Operations and Strategy teams to identify optimization opportunities and implement adjustments to improve recovery rates and efficiency.
Dashboards & Automation
Develop and maintain dashboards and automated reports using SQL and BI tools.
Validate data sources and coordinate with the RD team for new data integrations when required.
Understand and interpret dashboards developed by the China BI team, translating delinquency and performance metrics into actionable insights for the local operation.
Ensure alignment of local and global KPIs, and proactively identify metric gaps or improvement opportunities.
Floor Control & Predictive Campaign Management
Oversee daily floor performance metrics and provide operational guidance based on real-time indicators.
Implement actionable recommendations to enhance call center effectiveness and collection outcomes.
Manage and monitor predictive campaigns to optimize contact rates and agent productivity.
Maintain and update campaign and contact databases, ensuring data accuracy and compliance.
Collaborate with Operations, Risk, and Strategy teams to guarantee operational efficiency and goal achievement.
Stakeholder Engagement
Participate in relevant meetings to present analyses, conclusions, and recommendations.
Act as a bridge between the Collections Operations team, BI China, and the local Risk/Strategy teams.
Coordinate closely with the parallel BI Specialist (Agencies/BPO) to ensure alignment and provide backup support when required.
Role Qualifications
Required Technical Skills
Advanced SQL / Hive SQL: Ability to design and optimize complex queries and build robust analytical datasets.
Strong BI & Visualization Tools: Experience creating and maintaining dashboards in tools such as Tableau, Power BI, or similar.
Advanced Excel / Google Sheets: Strong proficiency in formulas, pivot tables, and automation.
Predictive Campaign Management: Understanding of predictive dialing strategies, campaign segmentation, and performance monitoring.
Collections & Recovery Analytics: Knowledge of key delinquency indicators, roll rate, vintage analysis, and recovery effectiveness metrics in the Mexican market.
Forecasting & Statistical Analysis: Capability to model collection performance trends and forecast delinquency evolution.
Strong Data Quality & Governance: Ensure integrity, consistency, and traceability of data used for reporting and incentive calculation.
Communication & Business Insight: Ability to translate analytical findings into concise, actionable recommendations for management.
Collaboration: Skilled at cross-functional work with Operations, Strategy, and Risk teams, both locally and globally.
English level: basics - intermediate
EEO Statement
Creamos valor para nuestros clientes: nos esforzamos por crear siempre experiencias valiosas para nuestros usuarios en todo lo que hacemos. Nuestro enfoque es siempre innovar nuevas experiencias que sean seguras, placenteras y eficientes.
Nos basamos en los datos: creemos firmemente en tomar decisiones informadas, por eso nos basamos en los datos. Podemos navegar mejor por el panorama empresarial estratégicamente mediante el análisis de métricas valiosas.
Creemos en la colaboración de ganar-ganar: el éxito es un deporte de equipo. Cuando trabajamos para ayudar a nuestros socios y
los compañeros ganan, nosotros también ganamos. Mientras nos preocupamos por los mejores intereses de todos, nos comunicamos con franqueza y ejecutamos con excelencia en todo lo que hacemos.
Creemos en la integridad: la integridad es el núcleo de nuestro negocio. Somos personas que siempre queremos hacer lo correcto. Nuestras intenciones son sinceras, decimos lo que pensamos y nos escuchamos unos a otros.
Siempre nos esforzamos por hacerlo mejor. Eso significa aventurarse más allá de nuestras zonas de confort, aprender de nuestros errores y ayudarnos a crecer unos a otros.
Creemos en la diversidad y la inclusión: la diversidad es una de nuestras mayores fortalezas. Nuestras diferencias son las que nos hacen distintos. Nos respetamos y creemos en la igualdad de oportunidades para todos.
Estamos comprometidos con desarrollar equipos diversos e inclusivos
En DiDi creemos que nuestras diferencias son nuestra mayor fortaleza. Es por eso que estamos comprometidos con crear y promover igualdad de oportunidades para todos los empleados.
Las decisiones de empleo y desarrollo en DiDi, siempre se basan en las necesidades de la posición y habilidades del candidato. No discriminamos a ningún empleado o aplicarte por raza, edad, sexo, genero, orientación sexual, nacionalidad, estado civil, embarazo, raza, religión o cualquier otro estado protegido por las leyes aplicables donde operamos.
Estamos comprometidos con desarrollar equipos diversos e inclusivos, además de un espacio de trabajo libre de discriminación, es así como creamos mejores productos y servicios, tomamos mejores decisiones y servimos a la comunidad de la cual somos parte.
Confirmo que antes de ingresar mi postulación ya he leído y acepto el aviso de privacidad para candidatos que está disponible en https://careers.didiglobal.com/terms
DiDi Global Inc. is a leading mobility technology platform. It offers a wide range of app-based services across Asia Pacific, Latin America, and other global markets, including ride hailing, taxi hailing, designated driving, hitch and other forms of shared mobility as well as certain energy and vehicle services, food delivery, and intra-city freight services.
DiDi provides car owners, drivers, and delivery partners with flexible work and income opportunities. It is committed to collaborating with policymakers, the taxi industry, the automobile industry, and the communities to solve the world’s transportation, environmental, and employment challenges through the use of AI technology and localized smart transportation innovations. DiDi strives to create better life experiences and greater social value, by building a safe, inclusive, and sustainable transportation and local services ecosystem for cities of the future.
Offices: -, Global, CN · Av. Paseo de la Reforma, Col Juárez, Alc Cuahtemoc CP 06600, Mexico City, MX · Varsovia, Juárez, Ciudad de México, Cuauhtémoc 06600, MX · Norte, Viña del Mar, Valparaíso, CL · Level 2/7 George St, North Strathfield, Sydney, New South Wales 2137, AU
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