BOSCH Global Careers 2024 – Hiring Entry Level Data Analyst | 4 LPA*
Are you a data enthusiast with a hunger to solve complex problems and drive real-world impact? Do you thrive on uncovering hidden insights in mountains of information? If so, then Bosch Global Careers 2024 has an exciting opportunity waiting for you: Become an Entry-Level Data Analyst and revolutionize the future of technology with a global leader.
Bosch Off Campus Drive 2024 Details :
| Job Role | Data Analyst |
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| Education | BE/B.Tech/BSC/MCA/M.Tech or Related |
| Experience | Fresher’s/entry level |
| Package : | 4 LPA* |
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Job Description :
- · Ability to independently analyze large amounts of data; including the ability to identify, analyze, and interpret trends, gaps, patterns in complex data sets·
- Develop and maintain analytics dashboards, reports, and visualizations to support business objectives·
- Working with different departments and business heads to bring a data-driven approach and resolve the gaps that impact the decision-making of the business, both in day-to-day management and in making strategic trade-offs·
- Experience in creating statistical/data models and/or optimization frameworks for improving processes/products/profits·
- Experience in performing quantitative or statistical analysis, data mining, predictive or statistical modelling, data management, data transformation, data visualization and/or quantitative or statistical research· Present reports to clients and collaborate with them to understand their needs and tailor solutions to those requirements·
- Analyze and consolidate data to produce periodical reporting utilizing various data sources and interaction with various lines of business and Operations area· Design and develop complex dashboards and reports using
- Experience in cloud concepts and predictive modelling experience (time series forecasting, clustering/ classification/regression using decision trees, linear/logistic regression, random forest, boosting algorithms, etc.) will be added advantage
- Power BI· Maintain proficiency within the data analytics domain by keeping up with technology and trend shifts.
Qualifications
Bachelors or Masters in Computer Science or related fields
Additional Information
•Solid understanding of Python & SQL (must have)•Python libraries such as numpy, pandas, sklearn, pytorch, keras, scipy.