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You are very skilled at using one or more BI tools (e.g. Tableau, Sigma, Looker), cloud data warehouses (e.g. Snowflake, Redshift, Big Query), data transformation frameworks (e.g. dbt), and data science tools (e.g. Python/Jupyter, Julia, R.
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Big Data certifications (e.g., Cloudera Certified Professional (CCP): Data Engineer, Databricks Certified Professional Data Scientist). Big Data Concepts: Basic knowledge of Big Data technologies and frameworks, including Spark and Cloud ETL tools like Databricks.
$100,000 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Reporting to the Director, Employer Relations & Career Center Operations for the Stevens Career Center, the Data & Technology Specialist actively supports a student-centered career center which serves an undergraduate and graduate population pursuing degrees in engineering, the sciences, business and management, the humanities, and the fine arts.
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Develop and optimize big data processing using Spark and PySpark within the Databricks environment. Design, build, and maintain scalable and reliable data pipelines using Infrastructure as Code (IaC) principles and Databricks along with Datadog.
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Some exposure to Big Data technologies, Apache Spark, AWS, AWS S3, amazon Glue, cloud -based data architecture is preferred. Qualifications Bachelor’s degree in computer science, Data Science, or data engineering 3-5 years of experience as a Data Analyst with exposure to data governance practices.
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We are seeking a hybrid New York City based Data Analyst to join our rapidly growing organization in a strategic capacity. Work with large data sets and build metrics to provide meaningful insights to leadership around Clinical Outcomes, Revenue Cycle Management, Finance, Business Development, and Marketing.
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We seek an experienced Senior Big Data Engineer to lead and enhance our data engineering initiatives. 5+ years of hands-on experience in Big Data engineering with a strong focus on Impala, Spark, Scala, Hive, Hadoop, and associated technologies.
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OR Master's degree in Data Science, Computer Science, Computer Engineering or a closely related field of study and one year of experience as a Data Engineer, Business Intelligence Analyst, Data Analyst, Intelligence Analyst or a closely related occupation.
$126,996 - $131,800 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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DOI's OIG-NYPD is seeking an Associate Data Analyst who will supervise at least one data analyst while supporting active investigations into the operations, policies, practices and programs of the NYPD.
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Experience developing data models in Snowflake that are used for scalable Tableau dashboards and include user entitlements a big plus. Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Enterprise Applications, Mobility / Collaboration, Big Data / Business Intelligence, Staffing Services, Cloud Solutions, Quality Assurance, Web Solutions, Digital Transformation, Product Engineering, talent solutions, Technology Solutions, Digital Product Engineering, Digital Enterprise, Snowflake, Oracle NetSuite, Apigee, Digital Integration, Data Management & Analytics, Digital Assurance, Extended Engineering Services , AI/ML, Business Process Automation, and TIBCO.
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The Data and Research Analyst must have specialized knowledge in data analytics and visualization. In addition to performing the duties of Assignment Level I, with considerable latitude for independent or unreviewed action or decision, the Data and Research Analyst will perform highly complex economic and/or fiscal research and studies related to operational issues.
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The HR Data Analyst will be a key contributor to the data management and integrity for the People Ops team. Angi is looking for an HR Data Analyst to join our People Ops team.
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5+ years experience as a logistics analyst, operations researcher, data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support.
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We are seeking a Data Analyst III to join our growing Data organization and help set up our newly formed Revenue Analytics team. Supporting commercial stakeholders with high level Sportsbook & Casino strategy will be a top priority for this analyst, as well as providing ongoing analysis and recommendations to stakeholders.
$108,000 - $198,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago
big data analyst jobs Company: Cond Nast in New York
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