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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Translating technical analyses in core areas of data science into recommendations for programs and policies. Reviewing and providing guidance on strengthening the choice of indicators and associated measurement concerns, clarify the definitions of the indicators in collaboration with relevant staff, and review the data collection and data analytics systems currently in place.
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Data Visualization Specialist (Tableau/Power BI)/Business Process Analyst. The Data Visualization Specialist/Business Process Analyst Shall Use Proven Performance Management And Continuous Process Improvement (PM/CPI) Methodologies To Streamline Processes To Eliminate Process Waste In Order To Improve Organizational Productivity, Improve Access To Information And Decision-making, And Increase The Utilization Of Assets And Resources.
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We are seeking a data scientist for the Soccer Operations department with D.C. United. Analyze data from all aspects of soccer operations. Experience building dashboards, web applications, and/or interactive data visualizations with any tool (e.g. HTML, CSS, JavaScript, Shiny, Tableau, Dash, etc.
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Experience working in the Virtual Research Data Center (VRDC) offered by CCW. ADVI Strategic Analytics and Value Economics (SAVES) is hiring for a full-time senior data scientist position.
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Zachary Piper Solutions is seeking a Data Center Manager for a position supporting a defense contractor. The Data Center Manager will be required to work onsite in Bethesda, MD. The individual will oversee and maintain all data center operations, collaborating with the government customer to define processes, ensure compliance, and track resource consumption.
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The eDiscovery & Data Solutions Analyst is responsible for assisting with litigation automation, implementation of eDiscovery solutions, and providing support and administration of e-discovery and litigation support applications and systems as directed by the eDiscovery & Data Solutions Assistant Managers.
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As Senior HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Our team covers the full range of data analytics and data science, including data architecture, data engineering, data visualization, predictive analytics, machine learning, and robotic process automation (RPA.
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You will leverage your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to ensure efficient data processing and analysis. 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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Experience in AWS, Databricks, Python, Airflow, GIT, MuleSoft, Data Management tools and other cloud integration technologies. Experience with data analytics, pharma sales and transactional data, data governance, and stewardship.
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Link data sets from program risk profiles, program baselines, financial and/or grants data, Capital Planning and Investment Control systems, internal review boards, USA Spending, US Census bureau surveys, internal survey data, and other data sets that need to be linked together.
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Have experience working day-to-day using a popular data warehouse, like Redshift, Vertica, BigQuery, or Snowflake. Apache Airflow, DBT, Airbyte, and other open-source data tooling. You’ll work alongside our software engineers to develop pipelines in our ETL platform, build production data materializations in BigQuery, and design solutions to pressing analytics and targeting problems in the progressive space.
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Using data warehouses (e.g., Snowflake, Redshift, BigQuery) to load and analyze data, including using complex SQL queries to transform data and tools like dbt to manage data transformation.
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In support of this project, MPC is seeking a Business Analyst with 3-5 years of experience to support our Chief Data Officer in various data-related initiatives. MetaPhase supports the Chief Information Officer (CIO) and Chief Data Officer (CDO) at the National Science Foundation (NSF.
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data job Title: financial analyst Company: Deloitte in Washington, DC
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