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Develop reports using modern data visualization tools and best practices to surface valuable insights to end-users. Implement data governance best practices by capturing data definitions, identifying data stewards, and data transformations through source-to-target mappings.
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Conduct data quality analysis and provide recommendations for effective quality assurance processes that improve data health. Develop data collection systems, implement databases and analytics to optimize efficiency.
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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.
$115,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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1-4 years of data analyst/ML/AI engineering work experience after your degree. Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.
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Business Data Analyst. Familiarity with a Modern Data Stack (I.e., ETL tools like dbt, Airflow, Fivetran, and cloud data warehouses like BigQuery, Snowflake, Azure, or Redshift.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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The Eberly College of Science is seeking an experienced Data Analyst (Intermediate Professional). Fluent in the information systems that house student data (LionPath, Canvas, Starfish, etc.
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Familiarity with Big Data technology in-cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake.
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Familiarity with data visualization tools such as Tableau or Power BI. BS degree in one of the following preferred: Data Science, Computer Science, Software Engineering, Software Development, Programming & Software Development, Computer Science, Computer Systems Engineering or Industrial.
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The Lead Data/Business Analyst position will be in CJA's Data Service's Team. In this role, the employee will work closely with business partners to align technology solutions with business needs and use data to define the scope of technical projects and improvements to our systems centered around our operational data platform (datahub) and Data warehouse.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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The Data Management Analyst works closely with personnel in Investment Management, Performance Analytics, Securities Operations, IT and other groups and clients, as needed. Own reference data and investment characteristics of multiple security types while supporting Portfolio Management, Quantitative Research, Trading, and other Firm constituencies.
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Senior Data Analyst. Ideal Person: Highly Analytical, People Person, experience in Legion Generated Data, SQL/SSAS, and/or Tabeau or Looker. Identify and report any data issues to the appropriate teams to fix data discrepancies that may exist in databases, Looker, Data Warehouse and Snowflake.
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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.
$200Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience applying data analytic methods (Statistical Analysis, Predictive Modeling, Time Series Analysis, Geospatial Analysis, and Data Visualization) in an operational environment. Experience with Big Data technologies and platforms such as Apache Hadoop, Apache Spark, and NoSQL Databases for the storing, processing and managing of large structured, semi-structured, and unstructured data sets.
$56,000 - $226,700 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
Title: data analyst Company: Kelly It
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