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Working in a creative and fast-paced environment, the Program Analyst will analyze data to support one of USAC's four core programs by identifying process improvements and efficiencies, working with management and applicants to resolve issues that may affect funding, develop and manage performance and funding-related reports.
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Implement data architecture initiatives on data quality, data governance, data standards, and data policies across all core business functions to ensure consistency in data definitions and data usage Apply knowledge of reference models to data architecture design and maintain alignment with standards and best practices for ontology representation.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Join our team and contribute to the success of the ADVANA program by leveraging your Qlik expertise to drive data-driven decision-making within the Department of Defense. Proficiency in Qlik scripting language (QlikView Scripting, Qlik Sense Data Load Editor.
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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
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Job Type Full-time Description We are a seeking a Senior GIS Specialist to support the United States Department of Defense (DOD) in the areas of CAD drawing manipulation and revision, MRDR management, and GIS program support to meet functional, and mission requirements to maintain the Pentagon Reservation and leased facilities in the NCR. Requirements.
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Work with the SBIR/STTR Program Manager, Unit Leads, and existing contract staff to develop and implement data management techniques, manage SQL databases, and enable analysis across SBIRs historic and current data.
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Proven experience as a Data Modeling SME or similar role with a focus on Databricks, Tableau, GA4, Looker, and PowerBI. Proficiency in Python for developing and implementing analytics solutions.
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Data Architect - REMOTE. Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data Factory). Create source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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Serves as Program Analyst (Adaptive Reconditioning and Community Outreach Specialist (ARCOS. Assists in providing effective and efficient adaptive sports and reconditioning programs for Recovering Service Members (RSMs) enrolled into the program.
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The Data Standards specialist will be responsible for overseeing the development, maintenance, and documentation of a knowledge architecture that is intended to integrate reference terminology from distributors (e.g., SNOMED CT , LOINC , RxNorm) in a common data model.
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Experience with cloud-based data warehouses such as Snowflake, BigQuery, or Redshift. Familiarity with data visualization tools like Tableau, Looker, or Power BI. Knowledge, Skills, and Abilities: Strong background in data modeling, data warehousing, and data quality assurance.
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Supports the Parents as Teachers Quality Endorsement and Improvement Process (QEIP) under the guidance of the Home Visiting Program Manager by contributing to the development of policies, data collection, data analysis, and ensuring that Family Case Manager’s activities are conducted with fidelity to the model.
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Develop and improve procedures for leadership and program staff to implement tracking and reporting to gage progress, identify gaps in the portfolio, and assemble data on areas of scientific interest.
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Piper Companies is looking for a Data Scientist to join an elite educational non-profit in Washington, DC, to cluster large datasets across various container and data platforms. 6 years of experience in data engineering or data science.
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data program jobs Company: Apple in Washington, DC
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