Staff data analyst

Role Overview: As a Staff Data Analyst at Goodyear, you will support multiple business and engineering teams by delivering advanced data analyses, reporting, and data visualization solutions. Your role will involve conducting advanced data analyses, designing and maintaining data visualization dashboards, preparing documentation summarizing analytical findings, and translating business requirements into practical data analysis solutions. Additionally, you will collaborate with stakeholders to ensure consistency and data quality in reporting activities and develop custom data preparation solutions to support machine learning initiatives. Key Responsibilities: - Conduct advanced data analyses to address various business and engineering questions - Design, develop, and maintain end-to-end data visualization dashboards for decision-making support - Prepare clear and structured documentation summarizing analytical findings and recommended actions - Translate business requirements into practical data analysis and reporting solutions - Coordinate recurring KPI generation and reporting activities to ensure consistency and data quality - Develop and maintain custom data preparation solutions for machine learning initiatives - Collaborate with data scientists and technical teams to support analytics and modeling workflows - Stay informed about developments in data analytics technologies and methods - Provide guidance and coaching to junior data analysts and support internship activities - Comply with internal systems, data governance standards, and technical constraints Qualifications Required: - Demonstrated experience in developing advanced analytics solutions on large data sets - Proficiency in designing and delivering data visualization dashboards - Experience in automating reports and KPI generation - Knowledge of Applied Mathematics, specifically statistics - Familiarity with advanced Data Analytics, including model evaluation, data visualization, and KPI definition - Proficiency in software engineering tools and practices (Python, Jupyter Notebooks, Git, CI/CD) - Experience with data wrangling and analytics libraries (Pandas, NumPy, Scipy, Statsmodels) - Familiarity with database and data storage technologies (SQL, NoSQL) - Knowledge of cloud platform technology (AWS or MS Azure) and system infrastructure in Linux/Windows - Experience with visual analytics platforms (Tableau, Power BI, Apache Superset, Streamlit) - Additional qualifications include strong problem-solving skills, effective communication with diverse stakeholders, ability to work independently and collaboratively, willingness to learn new technologies (Note: The additional company details were omitted as they did not contain specific information relevant to the job role.) Role Overview: As a Staff Data Analyst at Goodyear, you will support multiple business and engineering teams by delivering advanced data analyses, reporting, and data visualization solutions. Your role will involve conducting advanced data analyses, designing and maintaining data visualization dashboards, preparing documentation summarizing analytical findings, and translating business requirements into practical data analysis solutions. Additionally, you will collaborate with stakeholders to ensure consistency and data quality in reporting activities and develop custom data preparation solutions to support machine learning initiatives. Key Responsibilities: - Conduct advanced data analyses to address various business and engineering questions - Design, develop, and maintain end-to-end data visualization dashboards for decision-making support - Prepare clear and structured documentation summarizing analytical findings and recommended actions - Translate business requirements into practical data analysis and reporting solutions - Coordinate recurring KPI generation and reporting activities to ensure consistency and data quality - Develop and maintain custom data preparation solutions for machine learning initiatives - Collaborate with data scientists and technical teams to support analytics and modeling workflows - Stay informed about developments in data analytics technologies and methods - Provide guidance and coaching to junior data analysts and support internship activities - Comply with internal systems, data governance standards, and technical constraints Qualifications Required: - Demonstrated experience in developing advanced analytics solutions on large data sets - Proficiency in designing and delivering data visualization dashboards - Experience in automating reports and KPI generation - Knowledge of Applied Mathematics, specifically statistics - Familiarity with advanced Data Analytics, including model evaluation, data visualization, and KPI definition - Proficiency in software engineering tools and practices (Python, Jupyter Notebooks, Git, CI/CD) - Experience with data wrangling and analytics libraries (Pandas, NumPy, Scipy, Statsmodels) - Familiarity with data