Senior Data Analyst

at  GFT Technologies SE

ABOUT US

We show commitment to our investors and stand for solid, long-term growth performance. Founded in Germany in 1987 and in American territory since 2008, GFT expanded globally to over 10,000 experts. And to more than 15 markets to ensure proximity to clients. With new opportunities from Asia to Brazil, the international growth story continues. We are committed to grow tech talents worldwide. Because our team’s strong consulting and development skills across legacy and pioneering technologies, like GreenCoding, underpin success. We maintain a family atmosphere in an inclusive work environment.

ABOUT THE ROLE

We are looking for a talented Data Analyst/ Data QA to join the Data team. The ideal candidate for this role must have strong analytical skills, proficiency in data cleaning and preparation, knowledge of statistical analysis, and working experience with AWS tools and services like AWS Glue, AWS Lambda, AWS QuickSight, AWS Athena is a big plus.

A DAY IN THIS ROLE:

• Understand the full life cycle of data processing in the Automotive environment, from acquisition to integration to QA and validation
• Understand the business and product uses for our data
• Define and monitor relevant data quality metrics to track improvements and identify areas of concern
• Capability to understand business rules and technical design to be able to set up data quality tests and execute them, including creating test cases and test scripts to validate data integrity
• Familiarity with data quality automation tools and software like Python to streamline testing processes and improve efficiency
• Implement data quality audits to identify data inconsistencies and errors
• Perform data profiling, including analyzing data distributions, identifying outliers, and calculating descriptive statistics
• Presenting data insights clearly and concisely through reports and visualizations
• Understand detailed vehicle descriptions and recognize potential issues
• Understand end-to-end data processing and be able to explain complex data findings to non-technical audiences
• Produce ad-hoc reporting and complete special analytical projects that are used as input into product design decisions
• Perform research and root cause analysis of individual data issues and customer complaints.
• Work closely with cross-functional development teams to help establish and enforce data use standards and documentation for existing and new products
• Staying updated on data quality best practices and emerging technologies in terms of QA automation