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职位Aptiv

MCIP Data Analytics, Tools, Process Engineer

Aptiv

MCIP Data Analytics, Tools, Process Engineer

Aptiv

Monterrey, Mexico

·

On-site

·

Full-time

·

2mo ago

福利待遇

Flexible Hours

Equity

Learning

Parental Leave

必备技能

Node.js

Python

JavaScript

The MCIP Data Engineer will be responsible for developing, maintaining, and optimizing data tools and analytics solutions that support Aptiv’s Material Cost Improvement Program (MCIP). This role focuses heavily on enabling reliable data capture, automation, visualization, and reporting across global stakeholders.

Key Responsibilities:

  • Develop, customize, and maintain Microsoft Lists to support MCIP data collection and tracking.

  • Design and manage multiple cross-linked lists to enable efficient data extraction, automation, and reporting.

  • Implement Lookup fields and validation rules to optimize and error-proof data entry.

  • Customize list views to improve usability, data visualization, and end-user adoption.

  • Automate recurring processes and data synchronization between Microsoft Lists, Share Point, Excel, and Power BI.

  • Monitor and troubleshoot automation flows to ensure reliability and performance.

  • Use advanced E, xcel capabilities to analyze, validate, and prepare data: Pivot Tables, Pivot Charts, XLOOKUP, XMATCH, and advanced formulas, Conditional Formatting for data validation and insights

  • Leverage Power Query to clean, transform, and integrate data from multiple sources.

  • Develop, customize, maintain, optimize, and debug Power BI semantic models, reports, dashboards, and paginated reports.

  • Design efficient data models, including relationships and measures, to support MCIP analytics.

  • reate and maintain DAX measures to support KPIs, cost analysis, and savings tracking.

  • Understand and modify live connections to Power BI datasets, enabling end-users to customize visuals based on their specific data needs.

Your background:

  • Bachelor's degree in Mechatronics, Electronics, or a related technical field.

  • Experience working with electronics components, manufacturing, supply chain, or cost-related data is strongly preferred.

  • Proven experience delivering reporting and automation solutions in a corporate environment.

  • Strong proficiency in Microsoft Lists, Power Automate, Excel, and Power BI.

  • Solid understanding of Power Query, DAX, and data relationships

  • Experience integrating data from multiple systems and formats.

  • Strong Python/SQL for scripting

WHY JOIN US?

  • *You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.

  • *You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.

  • *You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

Your Benefits at Aptiv:

  • Savings Fund

  • Pension Plan

  • Christmas Bonus

  • Attendance Bonus

  • Vacation Premium

  • Medical Expenses

  • Life Insurance

  • Social security (IMSS, INFONAVIT, Retirement)

  • Recognition for innovation and excellence

  • Opportunities to give back to the community

APPLY TODAY, AND TOGETHER LET’S CHANGE TOMORROW!

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

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关于Aptiv

Aptiv

Aptiv

Public

A global technology company that develops safer, greener, and more connected solutions, which enable the future of mobility.

10,001+

员工数

Dublin

总部位置

$10.2B

企业估值

评价

3.8

10条评价

工作生活平衡

2.8

薪酬

3.2

企业文化

3.6

职业发展

3.1

管理层

3.4

68%

推荐给朋友

优点

Supportive management and leadership

Good benefits and vacation time

Professional development opportunities

缺点

Heavy workload and overtime expectations

Fast-paced and stressful environment

Limited growth opportunities

薪资范围

56个数据点

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0份报告

$67,909

年薪总额

基本工资

$27,164

股票

$33,955

奖金

$6,791

$47,536

$88,282

面试经验

4次面试

难度

3.8

/ 5

时长

14-28周

体验

正面 0%

中性 0%

负面 100%

面试流程

1

Application Review

2

Resume Review

3

Recruiter Screen

4

Phone Interview

5

Final Interview

6

Offer Decision

常见问题

Behavioral/STAR

Past Experience

Culture Fit

Industry Knowledge

Leadership Scenarios