招聘
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.
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Design and manage multiple cross-linked lists to enable efficient data extraction, automation, and reporting.
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Implement Lookup fields and validation rules to optimize and error-proof data entry.
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Customize list views to improve usability, data visualization, and end-user adoption.
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Automate recurring processes and data synchronization between Microsoft Lists, Share Point, Excel, and Power BI.
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Monitor and troubleshoot automation flows to ensure reliability and performance.
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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.
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Develop, customize, maintain, optimize, and debug Power BI semantic models, reports, dashboards, and paginated reports.
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Design efficient data models, including relationships and measures, to support MCIP analytics.
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reate and maintain DAX measures to support KPIs, cost analysis, and savings tracking.
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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.
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Experience working with electronics components, manufacturing, supply chain, or cost-related data is strongly preferred.
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Proven experience delivering reporting and automation solutions in a corporate environment.
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Strong proficiency in Microsoft Lists, Power Automate, Excel, and Power BI.
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Solid understanding of Power Query, DAX, and data relationships
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Experience integrating data from multiple systems and formats.
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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.
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*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.
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*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:
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Savings Fund
-
Pension Plan
-
Christmas Bonus
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Attendance Bonus
-
Vacation Premium
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Medical Expenses
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Life Insurance
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Social security (IMSS, INFONAVIT, Retirement)
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Recognition for innovation and excellence
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Opportunities to give back to the community
APPLY TODAY, AND TOGETHER LET’S CHANGE TOMORROW!
- Privacy Notice
- Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates
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
PublicA 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
新闻动态
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