data
Posted 3 weeks agoStaff data analyst
at Goodyear
On-site
Responsibilities
- requirements into practical data analysis and reporting solutions Coordinate recurring KPI generation and reporting activities, ensuring consistency and data quality Develop and maintain custom data preparation solutions to support machine learning initiatives, including data exploration, cleaning, visualization, and annotation Collaborate with data scientists and other technical teams to support analytics and modeling workflows Stay informed about developments in data analytics technologies and methods to
Requirements
- experience with: Developing advanced analytics solutions on large data sets to support data-driven decisions Designing and delivering data visualization dashboards Automation of reports and KPI generation
- Experience with IoT and sensor data is an asset Demonstrated knowledge of Applied Mathematics, specifically statistics Advanced Data Analytics, including model evaluation, data visualization, KPI definition and generation
- Experience with: Software engineering tools and practices (Python, Jupyter Notebooks, Git, CI/CD) Data wrangling and analytics libraries (Pandas, NumPy, Scipy, Statsmodels) Database and other data storage technologies (SQL, NoSQL) Cloud platform technology (AWS or MS Azure) System infrastructure in Linux/Windows (Bash, PowerShell, Docker, HPC) Visual analytics platforms (Tableau, Power BI, Apache Superset, Streamlit) Business platforms (CRM, ERP) Additional
- Ability to communicate effectively with stakeholders from diverse backgrounds Ability to work independently as well as collaboratively in a team environment Willingness to learn and adapt to new technologies Goodyear is one of the world's largest tire companies.
Contact
- For more information about Goodyear and its products, go to www.goodyear.com/corporate Goodyear is an equal employment opportunity employer.
Additional details
- The opportunity As a Staff Data Analyst, you will support multiple business and engineering teams by delivering advanced data analyses, reporting, and data visualization solutions.