Mobility Data Analyst - M/MBR-IN
Mobility Data Analyst - M/MBR-IN
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Job Description
We are seeking an experienced Data Analyst with a strong background in Machine Learning (ML) Data Management and Visualization to join our team. As a Data Analyst you will be responsible for collecting analyzing and interpreting complex datasets to derive meaningful insights drive data-driven decision-making and support the organizations strategic goals. The ideal candidate will have 4-6 years of experience as a Data Analyst with a focus on ML data management and visualization
Job Title: Assistant Manager / Deputy Manager Data Analyst
Job Description:
- Data collection and preprocessing: Gather clean and preprocess large datasets from various sources ensuring data quality consistency and accuracy.
- ML analysis and modeling: Apply ML techniques and algorithms to analyze data build predictive models and identify patterns and trends that can drive actionable insights.
- Data visualization: Create compelling data visualizations dashboards and reports using visualization tools (such as Tableau Power BI or Python libraries) to effectively communicate data-driven insights to stakeholders.
- Data management: Develop and implement data management strategies including data cleansing transformation and integration to ensure data integrity accessibility and availability.
- Statistical analysis: Conduct statistical analysis hypothesis testing and data mining techniques to uncover meaningful insights and trends in complex datasets.
- Performance monitoring: Monitor and evaluate the performance of ML models identify areas for improvement and provide recommendations to optimize model accuracy and efficiency.
- Data-driven decision-making: Collaborate with business stakeholders to define KPIs develop data-driven strategies and provide insights that contribute to informed decision-making.
- Documentation and reporting: Document data analysis methodologies findings and insights in clear and concise reports presentations and documentation for both technical and non-technical audiences.
- Continuous learning: Stay updated with the latest trends and advancements in ML data management visualization techniques and actively seek opportunities to enhance your skills and knowledge by keeping regular connects with universities on these topics.
- Seamlessly collaborate across the Sales & Marketing organization and other departments to develop and execute Analytical projects
Qualifications :
Education: Bachelors degree in Computer Science Data Science Statistics Mathematics or a related field. A masters degree is a plus
Experience: 4-6 years of experience of professional data science. 2-3 years (in case of a Masters degree holder)
Know-How: Extensive know-how of Python (R is a plus) and in object-oriented programming languages with high code quality (Clean Code). Proven track record in machine learning neural networks pattern analysis time series forecasting data analysis as well as data-pipeline technologies (e.g. Kubernetes Docker NoSQL-Databases Workflow-Engine). Strong experience with data visualization tools and libraries such as Tableau Power BI Matplotlib or Plotly. Solid understanding of statistics; knowledge of Cloud Technologies (ideally Microsoft Azure) and SQL are beneficial
Languages: Fluent in English written and spoken. Good communication and presentation skills
Organizational skills with the ability to handle multiple initiatives simultaneously
Ability to work independently manage teams partners Interns and be part of a team
If you are passionate about data analysis ML and data visualization and have the required experience and skills we invite you to apply for this exciting opportunity. Join our team and make a significant impact by leveraging data to drive strategic decision-making and contribute to the organizations success.
Additional Information :
Will be part of a dynamic and passionate team who are responsible to shape the strategy of Boschs Mobility Business in India.
We are an equal opportunity employer and are seeking diversity in all aspects
Opportunity to work with Global marketing and strategy teams of Bosch
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
