Verification Data Analyst

Description

Execute tasks based on provided input requirements and instructions within the automotive data domain.
Apply analytical skills to interpret incomplete data sets and draw meaningful conclusions.
Assume operational responsibility in day-to-day activities with a limited test scope, utilizing given product and procedures knowledge.
Lead system engineering efforts within a technical team, ensuring timely and accurate delivery.
Deliver results according to defined methods, expected inputs, and outputs.
Collaborate with cross-functional teams to ensure seamless integration and implementation of system testing processes.
This role requires immediate integration into ongoing projects without extensive ramp-up time.

Responsibilities

• Prior experience in the automotive industry
• Proficiency in writing functional requirements, test cases, and documenting test results.
• Familiarity with SE-Tool or System Weaver requirements tool is advantageous.
• Strong data analytical skills with expertise in Excel, PowerBI, or similar tools.
• Hands-on experience with automotive software systems is preferred.
• Knowledge of CAN protocols is desirable.
• Experience with XML data manipulation, preferably within an Excel environment.
• Familiarity with requirements management tools to facilitate requirements gathering and change tracking.
• Proficiency in Python programming is a plus, especially for data extraction tasks from Excel.
• Demonstrated ability to adapt quickly to new environments and processes, with a proactive approach to problem-solving.
• Excellent communication and collaboration skills to work effectively within a team environment.