Consultant - Advanced Analytics, GIC SC Analytics

General Mills Inc.; Mumbai; Ibrido; INR 1.800.000 - 2.400.000; Tempo pieno

Descrizione del lavoro

General Mills Inc. busca un Consultor de Analytics Avanzado para el equipo GIC SC Analytics en Mumbai. Puesto híbrido con horario de 1:30 p.m. a 10:30 p.m. Desarrollar soluciones analíticas para identificar oportunidades en la cadena de suministro y apoyar decisiones estratégicas.

Se requiere 4+ años de experiencia, graduación completa y dominio de R, Python, SQL, Excel y Power BI. Se valoriza liderazgo de proyectos, gestión de stakeholders y capacidad de mentoría para el equipo de analítica.

Competenze

• Graduación a tiempo completo de una universidad acreditada.
• Al menos 4 años de experiencia relevante en analítica, ciencia de datos o ML.
• Experiencia en analítica descriptiva, diagnóstica, predictiva y prescriptiva; dominio de R, Python, SQL intermedio, Excel y Power BI.
• Conocimiento de operaciones de la cadena de suministro end-to-end.
• Capacidad de gestionar stakeholders y liderar proyectos de analítica.
• Habilidades de comunicación para explicar hallazgos y limitaciones.

Mansioni

• Recolectar requisitos y gestionar proyectos para entender decisiones de negocio y contexto operativo.
• Diseñar y mejorar modelos analíticos descriptivos, diagnósticos, predictivos y prescriptivos.
• Desarrollar soluciones mediante análisis histórico y ML; crear pruebas automatizadas.
• Proporcionar recomendaciones y visualizaciones claras a stakeholders cross-funcionales.
• Mentorizar y entrenar a analistas en preparación de datos, diagnóstico y analítica avanzada.

Conoscenze

Descriptive analytics

Diagnostic analytics

Predictive analytics

Prescriptive analytics

R

Python

SQL

Excel

Power BI

Stakeholder management

Project management

Formazione

Bachelor's degree

Master’s degree in related field

Strumenti

Git

GCP

DevOps/MLOps

Descrizione del lavoro

## Consultant - Advanced Analytics, GIC SC AnalyticsSolicitar: Híbrido: Mumbai Spectra Office: Powai, Mumbai, MH: Tiempo Completo: Publicado ayer: 10131062**INFORMACIÓN GENERAL DE LA EMPRESA**Existimos para hacer alimentos que el mundo ame. Pero hacemos mucho más que eso. Nuestra empresa es un lugar que prioriza el bien común, amplía el aprendizaje, explora nuevas perspectivas y reinventa nuevas posibilidades cada día. Buscamos personas que quieran dar lo mejor de sí: mentes audaces y con gran corazón que se desafían entre sí y crecen juntas. Porque convertirnos en el líder indiscutible en alimentación implica rodearnos de personas con hambre de lo que viene.**OVERVIEW** Supply chain analytics group is responsible for delivering the solutions and developing the capabilities which enables better decision-making in supply chain This role is in the Segment analytics team that supports the Segment teams by developing advanced analytics solutions to identify and analyze opportunities corresponding to variety of SC Analytics problem statements. The primary responsibilities of this job are to develop innovative solutions by leveraging analytics techniques like descriptive, diagnostic, predictive and prescriptive modeling, statistical analysis and operations research techniques. This is an individual contributor role that includes project lead responsibilities, stakeholder management, project management, coaching and mentoring the analysts in the team. This role requires to operate in 1.30pm to 10.30 pm shift.**KEY ACCOUNTABILITIES** **Requirement Gathering and Project Management (20% of Time)*** Partner with supply chain stakeholders to understand business decisions, operational context, constraints, and desired outcomes, translating ambiguous questions into clear analytical problems, hypotheses, scope, and success measures.* Select the right approach—statistical analysis, machine learning, forecasting, experimentation, or operations research—while assessing data readiness, risks, dependencies, feasibility, priorities, and milestones.**Analytics Models design, development & Improve (40% of Time)*** Ideate and execute improvements that drive efficiency, standardization, and scalable solutions through historical data analysis and machine learning.* Develop analytical models across descriptive, diagnostic, predictive, and prescriptive analytics, including feature engineering and automated testing.* Explain and deploy model recommendations to cross-functional stakeholders while supporting enhancements and bug fixes for existing models.**Output (20% of Time)*** Provide actionable insights through effective presentations and visualizations while deploying, documenting, and sustaining models and applications using DevOps/MLOps practices.**Training / Knowledge (20% of Time)*** Mentor and train team members in data preparation, diagnostics, predictive analytics, R, Python, and supply chain analytics.* Standardization and document processes, working on individual development plans, and contribute to data science processes, frameworks, tools, and standards.**MINIMUM QUALIFICATIONS** * **Education:** Full-Time graduation from an accredited university (Mandatory).* **Experience:** At least 4 years of relevant experience in analytics, data science, machine learning, or a closely related field.* **Technical Skills:** Experience in descriptive, diagnostic, predictive, and prescriptive analytics; proficiency in R, Python, intermediate SQL, Excel, and Power BI; and a strong understanding of end-to-end supply chain operations.* **Soft Skills:** Lead and develop analytical capabilities with strong problem-solving, learning agility, and independent decision-making.* Engage stakeholders and lead projects collaboratively, applying strong project management and organizational skills.* Explain analytical findings, assumptions, model behavior, and limitations clearly while energizing teams and supporting cross-functional collaboration. **PREFERRED QUALIFICATIONS** * Master’s degree with 5+ years of relevant experience in Operations Research, Analytics, Mechanical, Industrial or Production Engineering, or Statistics.* Experience working on DevOps/MLOps, Git & GCP.