Company: |
TESLA |
Job Role: |
Data Analyst. |
Experience: |
(1-2 years). |
Vacancy: |
20+ |
Qualification: |
BE/B.Tech, BSc/MSc. |
Salary: |
$93900USD/year. |
Location: |
Austin - Texas - USA. |
Join us on Telegram |
Click Here |
Apply Mode: |
(Online) |
Deadline: |
Not Mentioned |
About the Company:
What to Expect
The Logistics group in Supply Chain is responsible for the reliable and efficient flow of all production materials to Tesla’s factories and Service locations. As Data Analyst in the Logistics team, you will deliver data insights that are critical in order to support increasing production volume and fleet size. You will work with the logistics team and stakeholders in other organizations to define business requirements for reporting and formulate applicable data-driven solutions. This requires you to acquire subject matter knowledge about the Logistics process, systems and KPIs. It is essential that you can think strategically, connecting the dots in the bigger picture, as well as being comfortable in the details of the deliverables. To be a successful candidate for this role you have to be a self-motivated for data analytics and continuously demonstrates an ability to tackle complex problems and implement solutions.
What You’ll Do
- Define key performance indicators to track process operational performance and apply data mining, analysis and visualization for KPI reporting
- Identify, analyze, and interpret trends or patterns in complex data sets
- Create reports and data visualizations to guide decision-making across material planning team
- Drive problem solving and continuous improvement initiatives to improve supply chain operations processes
- Support management with dashboards, KPIs and ad-hoc analyses
- Use data to assess business impact and priorities
- Independently handle multiple projects at a time meeting objectives and deadlines
- Apply out of the box thinking, problem-solving abilities and operational supply chain experience to derive solutions
- Gather and define business requirements
- Identify process gaps and areas for optimization and automation
- Own system requirements, and participate in the software development process from design to user acceptance testing
What You’ll Bring
- Master’s degree in science or engineering or equivalent experience or evidence of exceptional ability
- 2+ years’ work experience in material planning, supply chain, manufacturing, or business operations
- Evidence of exceptional analytical ability
- Structured, data-driven and quantitative problem-solving approach
- Ability to query from large data set in SQL, analyze and present data
- Proven ability to set expectations, manage to deadlines and hold individuals and teams accountable to critical milestones
- Ability to drive strategic discussions and convert strategy to action
- Collaborative, flexible, open working style and an ability to establish trust and credibility
- Excellent communication and leadership skills
Preferences
- Programming (R, Python, SQL)
- Experience creating dashboards using Tableau (or similar) visualization tools
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our
Tesla Talent Privacy Notice.
How to Apply
Click on the Below link, it will redirect you to source Page and apply there.
Note:
If you are facing any issues while applying jobs, please let us know by commenting below. We will solve your issue as soon as possible, Advice not to share card details pay money to anyone, and be aware from those types of traps
No comments:
Post a Comment