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Requirements: Requires at least a Bachelor’s degree, or foreign equivalent, in Computer Applications or related field and 6 years of progressive, post-baccalaureate experience as a Reports Analyst, Data Engineer, Module Leader, or related position involving Data Extraction (ETL), Data analysis and reporting in financial domain.
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Experience handling data with a high degree of accuracy, detail, and confidentiality. Job Description 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 implement transformation (ETL) logic to support the data provisioning and data consumption requirements. Responsible for ensuring completeness and accuracy of data profiling ELT Operational tools and software.
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A) A master’s degree from an accredited college or university in accounting, business, child welfare, counseling, economics, education, finance, human resources, labor relations, management, management science, nursing, operations research, organizational behavior, personnel or public administration, political science, psychology, sociology, social work, statistics, and/or urban studies may substitute for two years of experience; and/or.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Principal Quant Data Engineer who wishes to take on the challenge of building a world-class data operation.
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Integrating Databricks with other AWS products such as SNS, SQS, and MSK.What we are looking for: Bachelor's or master's degree in computer science, Information Technology, or a related field. Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem.
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
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Experience with data visualization software such as PowerBI, Looker, Tableau. Strong understanding of data analysis tools, languages, and techniques including Python, SQL, Docker, and database design.
$90,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. 4+ years of data warehousing experience (Redshift or Snowflake.
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Working with large, complex data sets to build models and leverage data visualization tools to provide insights to clients; and utilizing digitization tools to reduce hours and optimize engagements.
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Work closely with the Data Analytics and Data Science (DADS) team to ensure accurate, scalable, and reliable sources for dashboard development. You will collaborate with our Office of the CEO, Product, State Engagement, and Data Analysis and Data Science (DADS) Teams at Recidiviz.
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Lead a team of data scientists in monetization and pricing, and lead the cycle of translating ideas from concept to production-grade models and data science solutions, ensuring long-term viability and robustness.
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We are seeking individuals who have data engineering, data science, and insurance industry expertise to advance the integration of this platform into analytic solutions. We are looking for candidates with a blend of data science, data engineering, and business experience in the insurance industry.
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Experience with data analytics and visualization platforms such as Tableau, Google Analytics, or Looker. Reporting to the Senior Growth Marketing Manager, the Growth Marketing Manager of Paid Social will oversee campaigns across paid social channels, leverage data and testing to optimize performance, and work cross-functionally with the creative and data teams to support channel growth.
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Qualifications: Bachelor's degree in a relevant field (e.g., public administration, political science, law); advanced degree in law or public policy a plus In-depth experience in research, data collection, legislative analysis, and project management.
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data science jobs Title: high school science teacher in New York
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