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This position will perform data analysis tasks and support the development of data tools as part of project teams that serve clients with the U.S. Environmental Protection Agency and other government agencies in the areas of drinking water protection, climate resilience, and surface water quality management.
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Strong technical understanding of data modeling, data mining, master data management, data integration, data architecture, data virtualization, data warehousing, and data quality techniques.
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As part of the executive leadership team, the Director of Information Services and Data Management plays a crucial role in driving organizational success through innovative technology solutions and strategic data management practices to drive analytics supporting initiatives aimed at donation growth.
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Experience utilizing analytical software such as SQL, R, Python, Stata, data mining, and predictive analytics. Experience in advanced analytics/statistics, predictive modeling, machine learning, data visualization.
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Experience with Azure, Snowflake, Azure Data Factory, and DBT is a plus. Would like someone with healthcare background preferably in provider data management. Azure Data Bricks, Azure Data Factory, Azure Datalake, Python, SQL, PowerBI. Strong databasee background with Oracle and SQL Server are also important.
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This role involves frequent engagement with analytics partners and data/platform engineering to mature our data model and pipelines. Promote Cloud Infrastructure Optimization, collaborate with infrastructure teams to optimize the cloud environment for data storage, processing, and analytics.
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Analyze new and existing systems against data governance and classification policies to ensure adherence to data security requirements. The Senior Manager will support the development, implementation, and maintenance of the Data Governance strategy for the Company.
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This role drives business analytics processes, collaborates with stakeholders and key technology partners to identify opportunities for process improvement and automation, and leads cross-functional teams to implement solutions that optimize workflows and ensure data integrity.
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As a Sr. Architect - MDM, you will help lead the effort to create the technology target state for the Enterprise Data and Analytics. Architecture responsibility within a major segment of Technology Architecture in support of the Enterprise Data and Analytics business unit.
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Experience of data dashboard or programmatic data visualization using Tableau, Qlik, Power BI, Python, D3. Strong hands-on experience in the Bash scripting and Python toolkit for data manipulation and machine learning (e.g., NumPy, Scikit-learn, TensorFlow, PyTorch.
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Should be hands on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks) as well as the standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.
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Degree in engineering or construction management as well as 2 years of on-site Data Center construction scheduling experience is required. Develop and maintain project schedules identifying relationships, logic, milestones and constraints for Data Center construction projects through interactive planning with the project team.
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8+ years on Coding (Python, Java, Scala, or other programming languages), Data warehousing, Database systems (relational and NoSQL), Data analysis, Cloud computing (Azure), Big Data (Hadoop, Hbase), Pyspark, Azure Deltalake, Databricks, DBT, Healthcare domain experience.
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Apogee’s Data Strategy & Governance organization focuses on implementing processes and solutions for Data Governance, Master Data Management and Data Analytics. This Data Engineer will fill a critical role in enhancing and supporting the Data Analytics environment for prioritized Apogee Data Domains; educating our IT & Business Partners; implementing and supporting future Data Integration and Data Analytics solutions; and consulting on data-related projects from the data engineering perspective across the organization.
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Bachelor's degree (B.A., B.S.) in relevant field (e.g., Data Science, I/O Psychology, Data / Business Analytics, HR / Business Management). This role is an ideal opportunity for a creative and analytical self-starter who has a passion for using HR data to support business outcomes, strong relationship and consulting skills, and an interest in designing and building a new HR analytics capability.
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Title: data analytics Company: University Of Maryland Global Campus in St Paul, MN
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