The business and/or technical problem is to develop and maintain comprehensive Verification & Validation (V&V) Key Performance Indicator (KPI) dashboards for CVS executive management and the internal V&V team. These dashboards need to provide intuitive, critical insights into V&V readiness and quality trends, ensuring seamless integration with other organizational dashboards and adherence to Ford's compliant toolchain.
Requirements
- SQL (Structured Query Language)
- Programming Languages (R or Python)
- Data Visualization Tools: Microsoft Power BI, Qlik, Grafana, Jira Analytics
- Data Cleaning and Wrangling
- Machine Learning Basics
- Data Management per Ford IT standard
Responsibilities
- Gather data from various sources, ensuring its accuracy and completeness.
- Integrate data from disparate systems to create a unified data source for analysis.
- Clean and preprocess data to ensure it's suitable for analysis. This involves handling missing values, removing duplicates, and transforming data into a usable format.
- Use statistical methods and data analysis tools to interpret data and extract actionable insights. This involves identifying trends, patterns, and correlations that can inform business decisions.
- Create scripts to connect data from V&V tool chains (e.g Jira, Jama, Testrail, dSpace, NI, ECUTest, Github, and etc).
- Design and create interactive dashboards using tools like Tableau, Power BI, or similar platforms.
- Develop key performance indicators (KPIs) and metrics to monitor business performance.
Other
- Bachelor's Degree in data analytics, data science, statistics, or Engineering
- 3+ years of experience in automotive data analytics
- 1+ year of experience in automotive software testing
- Master's Degree in data analytics, data science, statistics, or an MBA in business analytics
- Certifications: Google Data Analytics Certificate, Microsoft Certified: Power BI Data Analyst Associate, Tableau certifications, or the Certified Analytics Professional (CAP)
