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SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS. Statistics, machine learning , data mining, data auditing, aggregation, reconciliation, and visualization. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive.
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Proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA) Experiences in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Expertise with data visualization tools such as Spotfire, Tableau, RShinyApp or Python Dash. Proficient in programming languages such as Python, R, SQL, Java, or Scala and in debugging and diagnosing.
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You likely have experience with a variety of architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Distributed Systems, ETL, Big Data, IoT, Data Visualization and Analytics.
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You will develop custom Snowflake SQL queries to access IDEXX diagnostic and medical data and apply scripted methods (R and Python) to conduct descriptive and statistical analysis.
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We do everything from data collection to UI/UX development and advanced deep learning, using a broad toolset including Python, C#, and ArcGIS. Our projects include cutting-edge R&D efforts, as well as large mission programs incorporating data processing/optimization, data dissemination techniques, visualization, and collaboration across the commercial and government sectors.
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Advanced Excel skills and comfort working with Python, R, SQL and related tools. Proficient use of data systems and web-based data visualization tools such as Tableau for full-stack data analysis, insights synthesis and presentations is required.
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Proficiency in data analysis techniques and tools, such as SQL, Python, R, and data visualization platforms (e.g., Tableau, Power BI) Get ready to dive into the exciting world of data evaluation, modeling, analysis, and visualization, where you'll uncover valuable insights from diverse and vast data sets, empowering data-driven decision-making and unlocking new business opportunities.
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OBIEE, OAC, Tableau, R, Python or other reporting, visualization, and analytics tool experience. Experience with at least one Data Integration tool on the level of Dell Boomi, DataStage, or Informatica.
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Knowledge of Data Science & programming such as Python, R, SQL, SAS, Java, Data Visualization & Reporting experience on at least one other data visualization tool such as Power BI and Tableau.
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Familiarity with programming languages (Python, R, Snowflake, Databricks) and visualization tools (PowerBI) are a strong plus. Unify, harmonize, and integrate investment data, including ESG, financial, macroeconomic, instrument, entity, benchmark, market, and portfolio metrics for analytic workflows.
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Significant knowledge of investment data including financial, ESG, market, benchmark, and macroeconomic data, as well as holdings data and portfolio analytics; experience with investment data vendors (MSCI, Bloomberg, S&P, Sustainalytics, etc.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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Master's Degree MA/MS degree in Healthcare, Engineering, Mathematics, Statistics, Epidemiology, Business, Data Science, Computer Science, or related field. The Senior Health Care Data Scientist is a subject matter expert who applies data science and their knowledge of health care data to develop solutions that improve health care.
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