| Company: | MERCEDES-BENZ |
|---|---|
| Job Role: | Sr. Program Manager , Big Data and Data Analytics. |
| Experience: | (7-10 years) |
| Vacancy: | 10+ |
| Qualification: | BE/B.Tech, ME/M.Tech, MBA |
| Salary: | RS.1.8/- lakhs. |
| Location: | Bangalore. |
| Join us on Telegram | Click Here |
| Apply Mode: | (Online) |
| Deadline: | Not Mentioned |
Mercedes-Benz, or Mercedes, is a German automaker and, from late 2019, a subsidiary of Daimler AG under the name Mercedes-Benz AG. Mercedes-Benz is a leading manufacturer of luxury vehicles and commercial vehicles. Stuttgart, Baden-Württemberg, is the company's headquarters. Since 1926, Mercedes-Benz has been known as Daimler-Benz. [clarification needed] In 2018, Mercedes-Benz was the world's largest luxury vehicle seller, churning out 2.31 million vehicles.
A Mercedes is regarded as the world's first internal combustion engine in a self-propelled automobile, and the Benz Patent-Motorwagen is widely considered the first internal combustion engine ever built by an automobile manufacturer. There was no gasoline in this vehicle, but rather a ligroin-like liquid petroleum spirit. "The best or nothing" is the slogan for the brand.
Requisites:
- Development of people and skills in his/her area/domain
- Setting realistic goals, guiding, tracking, and coaching
- Timely and cost-effective delivery of projects/programs.
- Management of stakeholders, including customers and business partners
- Finances and resources optimized and used effectively
- Consistently wins, achieves objectives and milestones, through outstanding execution, experimentation, adaptation, and collaboration, whenever necessary
- Data Analytics, Data Science, Data Visualization, Data Mining, Statistical Modeling, and Machine Learning are among the areas we have strong expertise in.
- Knowledge of manufacturing and supply chain processes and also work on using data for Smart factories, Industry 4.0, and smart logistics (for example but not limited to: Automated planning, enterprise asset management, operation efficiency, quality assurance, capacity planning, environmental monitoring, etc.)
- Strong knowledge of Big Data and Data management, Cloud Technologies. (Microsoft Azure, for example)
- Business acumen and the ability to provide business solutions based on historical data problems
- Conceive, design, and deliver high-quality solutions and comprehensive analyses on a variety of complex and diverse projects
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