The role spans the full project lifecycle from analytic problem definition, Data Engineering through data gathering, analysis, model development, reporting/visualization development, testing, and operational deployment.
- Acquire deep understanding of business problems and translate them into appropriate analytical solutions
- Work with large, complex data sets using tools such as Python, SQL, Google Cloud Services, Hadoop
- Develop and deliver business solutions using skills such as data acquisition, data engineering, programming, modelling and visualization.
- Develop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and interface development.
- Interact and work cross-functionally with a wide variety of 7teams.
- Develop trust with stakeholders and peers by delivering results on time
- Ensure overall quality of the analytical solutions throughout the development process.
- Work with business teams on change management
- Provide training and maintenance of implemented tools to business partners.
- Collect feedback from business users and continuously improve analytic products
- Bachelor’s degree in Statistics, Data Science, Computer Science or a related quantitative discipline
- 4+ years of experience or other significant, independent project experience using analytical tools
- 3+ year of experience data engineering using SQL for acquiring and transforming data - ETL / ELT
- 3+ year of experience in python / SQL with real-world data, data cleaning, data collection or other data wrangling challenge
- 3+ years of work experience in data mining, statistical analysis, modeling, optimization or similar analytics
- Hands on experience - predictive analytics techniques like Regression, Classification, Clustering, Tree-based algorithms etc.,
- Comfortable working in an environment where problems are not always well defined.
- Inquisitive, proactive, and interested in learning new tools and techniques.
- Strong oral, written and interpersonal communication skills
- Ability to effectively advocate technical solutions to peer, management and business audiences.
- Well-organized, a self-starter, independent and ready to work with minimal supervision.
- A respectful and committed teammate, willing to excel and work with talented people
- Work experience in automotive industry is a big plus