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Mechanical Data Analyst Internship- Customer Service (Summer 2026)
Siemens
Analyze diesel engine data to predict maintenance and improve locomotive reliability.
7d ago
$25 - $30
Entry-level
Internship
Sacramento, CA
Field
Company Size
303,000 Employees
Service Specialisms
Industry Automation
Power Transmission
Imaging & Therapy Systems
Diagnostics
Rail Systems
Mobility & Logistics
Low & Medium Voltage
Smart Grid
Sector Specialisms
Industrial Automation
Building Automation
Rail Transport
Health Technology
Factory Automation
Process Industries
Pharmaceuticals
Chemicals
Role
What you would be doing
iot sensors
machine learning
digital twin
data analytics
algorithm development
predictive maintenance
- Finding creative solutions when data tells an incomplete story
- Contribute to next-generation monitoring technologies, including IoT sensors, machine learning applications, and digital twin development
- Translate technical findings into actionable recommendations that directly improve locomotive reliability and reduce downtime
- Analyze engine performance data using advanced analytics tools to identify trends, anomalies, and potential failure modes
- Working effectively with diverse teams from software developers to field mechanics
- Taking ownership of analysis projects and driving them to completion
- Connecting the dots between complex technical symptoms and root causes
- Work alongside engineers, data scientists, and field technicians to validate findings and implement monitoring improvements
- Develop and refine algorithms that can predict engine maintenance needs weeks or months in advance
What you bring
analytical
engineering
internship
3.0 gpa
us authorized
leadership
- Strong analytical, writing, presentation, and critical-thinking skills
- Education/Majors: Current Sophomore or Junior undergraduates pursuing a BA/BS from an accredited college or university and majoring in Engineering (Mechanical, Electrical, Computer, Industrial), with a strong technical or analytical aptitude
- Prior internship or co-op experience (preferred) with a preferred cumulative GPA of 3.0
- Work Authorization: Applicants must be legally authorized for employment in the United States without the need for current or future employer-sponsored work authorization
- Industry knowledge and/or interest in data analytics and mechanical systems
- Demonstrated leadership potential
- Receive mentoring from seasoned professionals across multiple fields to help guide your future
Information not given or found
Interview process
Information not given or found
Visa Sponsorship- applicants must be legally authorized for employment in the united states without the need for current or future employer-sponsored work authorization.
Information not given or found
Company
Overview
Founded in 1847
Historical Milestone
Established as a small telegraph company and transformed into a global leader in technology.
- The company drives progress with solutions in electrification, automation, and digitalization across industries.
- With cutting-edge products and services, it leads sustainable innovation for industries like energy, manufacturing, and infrastructure.
- Its impressive portfolio includes smart grids, automated factories, advanced healthcare technologies, and solutions for urban mobility.
- Siemens’ digital solutions enhance efficiency and sustainability in everything from smart buildings to electric vehicles.
- It has contributed to iconic projects, including energy-efficient train systems and automation in key industrial sectors.
- Transforming how industries use digital technology to optimize operations and tackle global challenges.
- Leading change is a team effort
- Our people are enthusiasts with diverse backgrounds, skills and interests
- Every individual is valued
- Ownership – empowering employees to take responsibility
- Collaboration – leveraging unique strengths to find creative solutions
- Respect & Inclusion – diverse, respectful, flat hierarchies, flexibility, celebrating individual contributions
90% reduction
Scope 1 & 2 emissions by 2030
Achieve a 90% reduction in own-operations greenhouse gas emissions compared to 2019 levels by 2030.
144 million tonnes
CO₂-equivalent avoided in FY 2024
Products sold in FY 2024 helped customers avoid approximately 144 million tonnes of CO₂-equivalent emissions.
100% renewable
Electricity by 2030
Transition to 100% renewable electricity across operations by 2030, aligned with the RE100 initiative.
90% reduction
Scope 3 emissions by 2050
Achieve a 90% reduction in value-chain (Scope 3) emissions by 2050, validated by the Science-Based Targets initiative.
- Achieve net‑zero greenhouse‑gas emissions across the value chain by 2050
- Own‑operations net‑zero by 2030
- Value‑chain (Scope 3) target: 30% reduction by 2030
- €650 million invested in decarbonization efforts by 2030
- 100% EV fleet (EV100) by 2030
- 100% net‑zero buildings (EP100) by 2030
- Scope 1 & 2 emissions reduced by 50% since 2019, Scope 3 by 15% since 2019
- Products sold in FY 2024 helped customers avoid ~144 million tonnes CO₂‑equivalent
- Eco‑design standard achievement: 54%; 25,000 Siemens products labeled “EcoTech” for sustainable design
- Landfill waste down ~12%; recycling share of total waste 84%
Women at 32%
Top Management Increase
Women in top management roles increased significantly from a baseline of 23% in FY 2020 to 32% in FY 2024.
- DEGREE strategic framework includes 'Equity' as a measurable field of action
- Global Equity program focuses on equal rights in hiring and internal promotion processes
- SBTi‑validated targets exclude DEI but inclusion embedded in governance and career development
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