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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Strong proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Looker, PowerBI). As an Analytics Engineer, you will play a crucial role in enhancing our product decision-making process, focusing on optimizing our top-of-the-funnel activities and product-led growth initiatives through data-driven insights.
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MUST have experience working within the Palantir Foundry platform using Python for data management, analytics and modeling, and experience building dynamic visualization dashboards and graphics.
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Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Data Engineering - Capital One Software (Remote Eligible) Do you love building and pioneering in the technology space.
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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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Our Cybersecurity and Technology Risk Advisory services include Cyber strategy, IT governance, IT risk and cybersecurity assessment, cloud security, privacy and data protection, systems pre- and post-implementation controls evaluation and advisory, systems development life cycle controls assessment, data governance & analytics, resilience, and third-party risk management.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 1+ years of data warehousing experience (Redshift or Snowflake.
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Supports Data Director in a variety of advanced reporting tasks using Salesforce reports, SQL, and Tableau. The Database Associate supports the Data Director in maintaining and managing LCV’s Salesforce database and ensuring the integrity of its data.
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Utilize programming languages like Java, Scala and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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McAfee/Trellix Modules: VirusScan Enterprise (VSE), Endpoint Security (ENS), Data Loss Prevention (DLP), Asset Configuration Compliance Module (ACCM), Rogue System Detection (RSD), Policy Auditor (PA), and others as required.
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Enhance HR data reporting and analytics capabilities by leveraging appropriate tools and technologies. 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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Proficiency in data visualization tools (e.g., Looker Studio, Tableau, Power BI) to create insightful and user-friendly dashboards for different business units. As a Data Warehouse Manager, you will be responsible for overseeing the design, implementation, and optimization of the Brand USA data warehouse infrastructure.
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Bachelors in Business Administration, Accounting (or related field) and 4+ years of experience in corporate audit, data analytics, data science, and/or corporate investigations. Must be proficient with Microsoft Office including Word, Power Point and Excel, Power BI, and capable of quickly learning and navigating new systems as needed for data analytics purposes.
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As part of our team, you'll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.
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