Data Analyst- Battery indus experience is mustSr manager & AGM-Gurgoan

1. Organizational is building a platform to provide Electric Mobility-as-a-Service (eMaaS), initially using electric buses and delivering the core value proposition of cheaper non-polluting on-demand shared transportation, charging infrastructure, and enabling products for the e-mobility value chain.

Job Title Sr.Manager / Asst.General Manager -Data Science and Analytics Reports to General Manager No. of Reportees 1-2 Responsibility Level Middle 2. Role Objective: We are seeking a talented and self-motivated Data Science and Analytics to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company.

3. Minimum Requirements: - 5 - 8 years experience in Vehicle Technology Level of Education Bachelors degree in data science, Computer Science, Statistics, Engineering, or a related field. Work Experience 5-8 years 4. Competencies required for the Job: Responsibility: We are seeking a motivated Data Analyst to join our Vehicle Technology team. In this role, you will analyze complex data sets related to vehicle performance, user behavior, and emerging technologies to support strategic decision-making and enhance our product offerings. As a Data Scientist and Analyst, you will leverage data to drive business decisions, improve processes, and enhance customer experiences. You will work with large datasets, utilize statistical analysis, and develop predictive models to uncover insights and trends.

1. Data Analysis and Exploration: - Conduct thorough data analysis to uncover actionable insights and trends. - Collaborate with cross-functional teams to define data requirements and extract relevant data. - Gather, clean, and organize data from various sources, including vehicle telemetry, customer feedback, and market research. 2. Data Visualization: - Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). - Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: - Build, validate, and deploy machine learning models to solve business problems and predict outcomes. - Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: - Develop and maintain Python scripts and applications for data analysis and modeling. - Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: - Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. - Ensure data quality, consistency, and accuracy within ETL processes. - Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. - Collaborate with IT and Data Engineering teams to optimize data storage and access. - Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. - Effectively communicate findings and insights to both technical and non-technical stakeholders. - 6.Analysis & Reporting: - Conduct in-depth analyses using statistical methods and data visualization tools to identify trends, patterns, and insights. Prepare reports and presentations to communicate findings to stakeholders. 7.Performance Monitoring: - Develop and maintain dashboards to track key performance indicators (KPIs) related to vehicle technology and usage. Research & Innovation: - Stay updated on industry trends and technologies. Provide insights to drive innovation and improve existing systems and products. Quality Assurance: - Ensure data accuracy and integrity by implementing quality control measures. Skills: - Proficiency in data analysis tools (e.g., SQL, Python, R) and data visualization software (e.g., Tableau, Power BI). - Experience with large datasets and database management. - Strong analytical skills and problem-solving abilities. - Excellent communication skills to present complex data in an understandable format. - Knowledge of vehicle technology, automotive industry trends, or IoT applications is a plus. - Knowledge of CANBus protocol is a plus

Send CV to maria.j@cielhr.com