Position: Data Analyst
Company: GlobalLogic
Category: Data Science
Experience required: 3y
English level: intermediate
Published: 2020-11-01T00:00:00+02:00

Our Client is one of the major players in automotive aftermarket in the USA. The car repair, automotive touch-up and car care solutions are designed to help body shops put quality vehicles on the road. We are looking for Data Analyst who is ready to join the development of Andvanced Cloud based Web solution the main goal of which is to suggess materials for body shops for efficient and cost saving car repairs according to OEM recommendations.

**Requirements**
- Proven working experience as a Data Analyst or Business Data Analyst
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc)
- Knowledge of or willing to learn Python programming language and data analysis libraries such as Pandas, NumPy, SciPy, etc.
- Ability to automate data analysis process from scratch using Python (Experience in building ETL systems as a plus)
- Readiness to write flexible code and use design patterns to extract data from different sources
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Adept at queries, report writing and presenting findings
- Strong level of written and verbal English language
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics

**Responsibilities**
- Interpret and transform data
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Filter and “clean” data
- Locate and define new process improvement opportunities
- Identify strategies to automate data analysis process
- Create data analysis automation using Python