5 Ofertas de Data Analytics Intern en San Pedro Garza García

Charger Logistics Inc. is a world
- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger Logistics has transformed into a world-class transport provider and continues to grow.

Charger Logistics invests time and support into its employees to provide them with the room to learn and grow their expertise and work their way up. We are entrepreneurial-minded organization that welcomes and support individual ideas and strategies. We are currently expanding and looking to add a motivated individual to our team based out of our Monterrey's office.

**Responsibilities**:

- Develop analytic tools and solutions, generate dashboards/reporting for Finance area.
- Prepare financial reports including costings, cash flow, bank reconciliation, sales and payroll tax filings.
- Compile and analyze financial information to prepare entries to accounts, such as general ledger accounts, documenting business transactions.
- Match invoices to purchase orders and receiving reports, coding invoices with account numbers or review invoice coding for accuracy.
- Prepare and analyze annual and quarterly reports

**Requirements**:

- English is a must
- Bachelor’s degree in Accounting or Finance is required.
- BI Tools proficiency (Tableau is an asset)
- 3-4 years of related experience in Financial Data Analysis is required
- Knowledge of combined financial statement presentation, SOX, financial analysis, excellent communication skills, and time management.
- Proficient in Microsoft office, with aptitude to learn new software and systems.

**Benefits**
- International Training
- Savings fund
- Life insurance
- Healthcare Benefit Package
- Food coupons
- Career growth
- High competitive salary
- Performance-based bonus and Christmas bonus.

**Descripción de puesto**:
Explotar la información disponible de la CdS para generar insights accionables de negocio.
Desarrollar Capabilities de análisis de datos en la CdS.

**Principales responsabilidades**:
1. Ser punto de enlace entre diferentes áreas, para apoyar el crecimiento conjunto de CdS en temas de analíticos.
2. Fungir como Traductor de requerimientos operativos / de negocio a desarrollos tecnológicos
3. Conceptualizar ideas y ejecutar a través de soluciones basadas en data
4. Atender necesidades de data visualization.
5. Identificar y mapear fuentes de datos para crear consultas/procedimientos de extracción apropiados
6. Automatización de procesos de datos: migrar de fuentes de datos manuales a servidores, PBI, alertas, etc.
7. Análisis de datos y lógica a través de lenguaje de programación (Python).
8. Diseñar y desarrollar modelos predictivos estadísticos y algoritmos prescriptivos (usando Inteligencia Artificial) basados en las necesidades del negocio. Validar y mejorar modelos a través de la experimentación.
9. Formular hipótesis y predicciones comprobables. Diseñar experimentos y esquemas de muestreo que incluyan recopilación de datos, pruebas de hipótesis y conclusiones traducidas a insights accionables de negocio.
10. Utilizar los datos disponibles de manera eficaz para encontrar tendencias, valores atípicos y patrones así como crear modelos de regresión, pronósticos y otros análisis interpretativos para resolver diferentes casos de negocio, con la finalidad de entregar conclusiones relevantes para apoyar la correcta toma de decisiones dirigida por datos.
11. Generar aplicaciones y herramientas para pruebas de concepto/pilotos de ciclo rápido.
12. Desarrollo de soluciones digitales, tales como aplicaciones y procesos de trabajo automatizados con la finalidad de mejorar el flujo de la información en la organización.

**Retos del puesto**:

- Entendimiento del negocio / operación
- Desarrollo y actualización de modelos user-friendly
- Resultados que permeen en operación
- Comunicar modelos y resultados técnicos claramente complejos a audiencias no técnicas
- Implementación de nuevos indicadores, o soluciones ágiles, en tiempo y calidad
- Influencia relevante dentro de la CS
- Balanceo de requerimientos de otras áreas con prioridades de la VP
- Relación con grupos de colaboración de datos a nível México y Cemex Global
- Relación con grupos de colaboración de datos a nível México y Cemex Global

**Habilidades y conocimientos requeridos**:

- Generales:
- Licenciaturas en Actuaría, Matemáticas aplicadas, Ingeniería en Sistemas, Informática, Tecnologías de Información
- Maestría deseable en: Estadística, Matemáticas, Data Science, Investigación de Operaciones.
- Dominio Idioma Ingles: Avanzado
- Experiência requerida:
- + 5 años de experiência en Bases de Datos y análisis de información
- + 2 años usando herramientas en la nube / Tecnologías de orquestación
- + 1 año desarrollando y desplegando modelos predictivos/prescriptivos variados y complejos
- + 4 años background Desarrollo (Python, R, Java, Scala, Julia, C, C++, C#)
- + 1 año de experiência con Python
- + 4 años de experiência participando en proyectos con metodologías agiles (Deseable)
- + 3 años de experiência en uso de analíticos de áreas relacionadas a la Cadena de Suministro: Abastecimiento, Producción, Almacenaje, Distribución, etc (Deseable)
- Conocimiento requerido:
- Experiência con lenguaje de programación: R o Python, preferiblemente ambos
- Experiência con SQL y conocimiento de bases de datos relacionales
- Experiência con herramientas de visualización de datos (Power BI o Tableau)
- Conocimiento de HTML, CSS y Javascript (Deseable)
- Conocimiento en sistemas de almacenamiento de datos (Preferente Snowflake)
- Conocimiento de herramientas estadísticas para análisis de datos
- Conocimiento de desarrollo de modelos predictivos estadísticos y algoritmos prescriptivos (usando Inteligencia Artificial)
- Conocimiento en gestión de proyectos con metodologías ágiles (Deseable)
- Competencias críticas:
- Habilidades tecnológicas/digitales, empuje para conseguir resultados, toma de decisiones oportuna, análisis de datos, negociación, enfoque al cliente, solución de problemas, astucia en los negocios, administración de procesos, proactividad, liderazgo, comunicación, trabajo en equipo.

**Relaciones**:

- Internas:
- VP y Directores CdS(Comunicación de ajustes diseño y/o optimización de indicadores de servicio y métricas de desempeño actuales, Definición de necesidades y desarrollo de soluciones y automatizaciones, Comunicación de Insights provenientes de analíticos avanzados (Predictivos y prescriptivos) y planes de acción de manera ejecutiva para la mejora de indicadores)
- Equipo Global(Identificación de áreas de oportunidad en reportes, análisis de datos conjuntos, vinculación con regiones, sinergias digitales, etc.)
- Equi

**Join a team recognized for leadership, innovation and diversity**:
As a Sr. Procurement Project Management Specialist, you will have a strong understanding of project management activities, including the end to end project management process in a fast paced, complex business environment. You will work within a team of collaborative colleagues, working on high-impact projects that move the business forward. You will help your team meet deadlines, track, monitor and summarize progress of projects, and prepare reports for senior leadership regarding the status and project of the project.

**Key Responsibilities**
- Identify, and analyze supply chain processes, operational measures, cost metrics, key performance indicator (KPIs), and other related areas.
- Translate business requirement / problem statement into analytical solutions.
- Integrate multi-structured data from various sources to unlock new value for Honeywell.
- Develop user-friendly data visualization products using Tableau/PowerBI
- Drive Data & Process Automation
- Identify & Analyze the Process and implement Automation
- Manage & Maintain Database Servers
- Write Complicated SQL Queries to bring Analytical insights
- Tell a story with data to our stakeholders and present data in a way that both technical and non-technical audiences can understand. Express ideas clearly, concisely in understandable form, both orally and in writing
- Continually assess/propose alternative data-driven analytical proposals / models to deliver value and make recommendation.
- Design & Maintain SharePoint Sites, Workflows & Experience in PowerApps preferred
- Attract, coach and mentor Analysts, leading by example
- Solid ability to develop reporting portals and host multiple web-based dashboard

**Must Have**
- 5+ Years of Experience in Data Analytics/Procurement
- Bachelor’s Degree in Computer Science, Information Technology or related field
- 5+ years of experience with Tableau/PowerBI/Qlikview, database development (SQL Server)
- 5+ Years of Experience in Managing large scale data
- Advanced Excel & MS Access Skills
- Excellent Communication Skills (Oral/Written)

**We Value**
- Advanced degree in Data Analytics, or MBA is preferred
- Certifications in any Programming or Data Analytics Tool
- Solid ability to query data from proper sources from named spaces, data marts, and/or normalized views, using SQL/Alteryx
- Good Knowledge of Dremio/Paxata/Snowflake
- Team Player, open to feedback, and flexible & adaptable to changing needs.
- A critical eye for the quality of data and strong desire to get it right.

**Additional Information**:

- ** JOB ID**:req
- ** Category**:Procurement
- ** Location**:Av. David Alfaro Siqueiros No. 104,Monterrey,NUEVO LEON,66269,Mexico
- Exempt

**This is where you save and sustain lives** At Baxter, we are deeply connected by our mission. No matter your role at Baxter, your work makes a positive impact on people around the world. You'll feel a sense of purpose throughout the organization, as we know our work improves outcomes for millions of patients. Baxter's products and therapies are found in almost every hospital worldwide, in clinics and in the home. For over 85 years, we have pioneered significant medical innovations that transform healthcare. Together, we create a place where we are happy, successful and inspire each other. This is where you can do your best work. Join us at the intersection of saving and sustaining lives—where your purpose accelerates our mission. Sr. Data Analyst - Global Sourcing Data and Analytics The Sr. Data Analyst is focused on solving complex business problems by utilizing advanced analytical techniques to uncover insights and develop recommendations that drive business results. With this team she/he/they will have the opportunity to combine business knowledge, data and analytics techniques with visualization tools to deliver the right solutions for the right business problems. Major Responsibilities: - Identify opportunities for improvement and leading improvement initiatives with key cross functional team members with a focus on improving KPI's - Monitor supplier performance using key metrics and scorecards - Create and distribute category specific sourcing savings and compliance scorecards - Perform spend analysis of available data sources to identify sourcing opportunities either Globally, Regionally or within Business Unit to drive incremental value to the business via savings and improved supplier efficiencies - Conduct research on key supply markets, developing knowledge of supply base and suppliers in the market and staying abreast of category trends that might impact price, quality, service, or other key elements of a supplier’s value proposition - Ad hoc Project Management responsibilities for key sourcing initiatives Knowledge & Skills - Strong problem solving and interpersonal skills and ability to work as part of a diverse team including IT, Sourcing and Operation’s teams. - Power BI/Tableau experience - Excellent oral and written communications - Project management experience; solid attention to detail and operational focus - Demonstrated ability to manage in a matrix environment - Effective meeting facilitation skills, including meetings with senior executive management - Strong strategic thinking and analytics - Knowledge in supply chain and sourcing is a plus Travel - <15% Qualifications: Minimum Qualifications - Bachelor's degree required in quantitative fields such as Statistics, Engineering, Operations Research, Computer Science or Economics - Master's preferred - 2-4 years’ progressive business experiences in Sourcing analytics, data engineering and predictive modeling or strong academic background - Demonstrated experience in data mining and manipulation using SQL/Python/R - Demonstrated proficiency in Data Visualization tool such as Power BI, Tableau or Spotfire - Familiarity with the Cloud environment such as Azure or AWS - Experience working with ERP systems, such as JDE or SAP is a plus **Reasonable Accommodations** **Recruitment Fraud Notice** Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.