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Cargill
Cargill

Multinational food company.

Senior Consultant, Data Analytics & Reporting - Ag & Trading

职能数据分析
级别资深
地点Bangalore, Karnataka, India
方式现场办公
类型全职
发布1周前
立即申请

Job Purpose and Impact

The Senior Consultant – Data & Analytics (Smart Manufacturing) plays a critical role in enabling Smart Manufacturing initiatives by translating manufacturing business needs into scalable data and analytics solutions. This role focuses on capturing and analyzing complex manufacturing data requirements, defining analytics and reporting solutions, and working closely with development, data engineering, IT, and OT teams to design, test, and deliver high-quality outcomes.

Operating with minimal supervision, the consultant serves as a bridge between manufacturing stakeholders and technical teams—ensuring analytics products, features, and insights align with operational objectives and deliver measurable business value.

Key Accountabilities

  • DATA & REQUIREMENT ANALYSIS: Lead analysis of complex manufacturing data, reporting, and analytics requirements across Smart Manufacturing initiatives. Elicit, document, and prioritize requirements; define analytics use cases, solution scope, and acceptance criteria. Act as a functional and solution consultant for analytics-enabled manufacturing capabilities.

  • DATA ANALYSIS: Conducts complex data analyses to uncover trends, patterns, and actionable insights for decision making.

  • STAKEHOLDER MANAGEMENT: Cultivates and maintains positive partner´s relationships to understand their data/insight needs, provides insights and finds improvement opportunities, and ensures solutions address key objectives.

  • SOLUITION TRANSLATION AND DELIVERY: Translate data insights and business requirements into analytics features and reporting capabilities, partnering with development and data engineering teams to deliver scalable, highquality solutions.

  • COLLABORATION: Work with minimal supervision to collaborate with business partners and cross functional IT and OT teams to align analytics solutions with product vision and operational objectives.

  • LITERACY: Coaches and advises to mature data consumption and analytics capabilities.

  • QUALITY ASSURANCE & DATA VALIDATION: Ensures the accuracy, consistency, and security of data across all reports and analyses. Support system integration, testing, validation, and user acceptance to ensure solutions meet functional and quality expectations

Qualifications

  • Have an Engineering degree with minimum requirement of 8 years of relevant work experience.

  • Worked as functional/solution consultant in Manufacturing IT domain involving implementation of one or more initiatives around: MES/MOM, Manufacturing Reporting, Smart Manufacturing

  • Understand ISA 95, S-88 standards and manufacturing data domain model

  • Experience with Agile methodology in project implementation

  • Worked in at least one initiative involving machine learning / AI implementation in smart manufacturing initiative

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关于Cargill

Cargill

Cargill

Public

Multinational food company.

10,001+

员工数

Minnetonka

总部位置

$134B

企业估值

评价

10条评价

3.3

10条评价

工作生活平衡

3.5

薪酬

3.2

企业文化

3.8

职业发展

3.5

管理层

2.8

65%

推荐率

优点

Good corporate culture and team environment

Good benefits and compensation

Safety emphasis and good work environment

缺点

Management issues and high turnover

Non-competitive salary

High stress and overwhelming expectations

薪资范围

268个数据点

Junior/L3

L2

L6

Mid/L4

Senior/L5

L3

L4

L5

Junior/L3 · Business Analyst

0份报告

$108,285

年薪总额

基本工资

-

股票

-

奖金

-

$92,042

$124,528

面试评价

2条评价

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer

常见问题

Behavioral/STAR

Past Experience

Culture Fit

Technical Knowledge