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Data Analytics Engineer Jobs
Company | Procter & Gamble |
Address | Cincinnati, OH, United States |
Employment type | FULL_TIME |
Salary | |
Category | Manufacturing |
Expires | 2023-08-26 |
Posted at | 9 months ago |
Job Location
- Work across important Data & Analytics Community of Excellence capability areas of: Data Science, Dana Engineering, Data Wrangling, Edge Programming, SME Analyst/Business Intelligence, Visualization/Citizen Scientist Ux.
- Engage project teams to understand project needs/requirements and provide technical expertise with data and analytical tools.
- Collaborate with data leaders and multi-discipline teams to design, develop and ensure critical data systems infrastructures and integration offer critical data model availability and scalability.
- Explore emerging capabilities and Artificial Intelligence/Machine Learning for flawless integration and application between data scientist, functional specialists and their key user cases.
- Ensure relevant data and analytics are available to meet initiatives and technical readiness needs by continuously addressing the data models, wrangling and cleansing data, and improving data solutions and platforms.
- These positions are entry-level with up to 4 years work experience
- BS/MS in a quantitative field (Engineering, Data Science, Operations Research, Applied Math, Statistics, Analytics)
- Data management, ingesting new data, transforming/harmonizing data
- Prior Innovation Development, or Supply Chain, or IoT or related experience
- Data analytics insights and work processes for learning and decision
- An aptitude for communicating insights and collaborating across teams/organizations
- Passion to learn/develop and bring in emerging trends/technology that drive further insight value
- Proven success of applied analytics through related full-time or internship experience
- Support
- Data analytics and insight environments (Apache Hadoop, Spark, Hive, SQL Server, SAP Bus, WH)
- Strong leadership, business problem definition, and priority setting skills
- Skills in data visualization (Tableau, Power BI, or similar) and script program languages (SQL, Python/Scala, R, JAVA, C+)
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