BOSCH Global Careers 2024 –
Hiring Entry Level Data Analyst | 4 LPA*
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.
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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.