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As Principal 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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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. The ideal candidate will have a solid understanding of Java and Python programming languages, along with experience working with Databricks for data engineering tasks.
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Expert experience using data visualization and reporting tools such as Tableau, MicroStrategy, Looker, Domo. Skilled with the use of open-source tools, cloud computing, machine learning, and data visualization.
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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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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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The Analyst will also play a key role supporting campaign data visualization work to develop impactful materials for public use. Execute specific technical analyses of the steel industry and decarbonization strategies, including data visualization, communication, and summarization.
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You have familiarity with analytics like machine learning, natural language processing, or data visualization, particularly for creating tools that scale complex analytics workflows for less technical end users.
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Be competent in utilizing Intelligence Data Visualization Tools (i.e. Google Earth, Palantir, and, Analyst Notebook, Target Cop); Counter Threat Finance Analyst. Be proficient in utilizing existing and new analytical tools to effectively exploit raw financial data, business registry, and corporate company data.
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Proficiency in data visualization using Azure DevOps dashboards, with at least 1-2 years of experience in interpreting and presenting data effectively. Provides comprehensive IT support for vended and custom applications, resolving complex issues and ensuring data security and redundancy in collaboration with senior technical staff.
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Understand interagency restrictions and sensitivities on sharing certain types of data, as well as the steps necessary amongst the interagency to share said data; Additional certification, such as CAMS (Certified Anti-Money Laundering Specialist) or CFE (Certified Fraud Examiner) is preferred.
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Familiarity with one or more of the following: polling and survey research, SQL, GIS, field reporting and program evaluation, precinct and individual level modeling, data visualization. The Regional Analytics Director will work with the Analytics Campaigns Director and team, as well as the regional teams, to advise congressional campaigns in their region on their path to victory and maximize the effectiveness of their voter outreach strategies based on rigorous statistical analysis of past election results, voter file data, polling, microtargeting models, and other analytics tools.
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Proficiency in common geospatial software applications and data analysis scripting and tools, such as Python, SQL, Mathematics, Statistics, Business Analytics, Collections, Data Visualization, ESRI ArcGIS, Timeseries Modeling, MATLAB, R, Git, or Tableau.
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Proficiency in statistical software (i.e. R, Stata, SAS, SPSS, Python) and data visualization tools (i.e. Excel, Tableau, Power BI). Support monitoring and evaluation through data analyses and visualization (including GIS, Tableau) across the HIV clinical cascade and other areas of HIV programming, including triangulation of survey, surveillance, and other non-routine country data sources as appropriate.
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They also use and advise on such tools as machine learning, natural language processing, web scraping, big data platforms, and data visualization techniques and their application to relevant public policy issues.
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Expertise in supplying and maintaining data sets for one or more Business Intelligence/visualization platforms (PowerBI, Spotfire, Tableau, etc.) Experience with one or more cloud-based data management platforms (e.g., Snowflake, AWS Redshift, Databricks) required.
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visualization job Title: data analyst Company: Aya Corporate in Arlington, VA
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