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Play a key role in building out the Business Intelligence team’s technical capabilities and BI data assets, incorporating entitlements, Tableau, and Snowflake. The Business Intelligence team within EDM is responsible for delivering analytics solutions that enable our stakeholders to make data driven decisions.
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Proficiency in Python and SQL, data visualization tools (e.g., Tableau, Looker), and other business intelligence technologies (e.g., Alteryx). Bachelor's degree in a relevant field such as Data or Business Analysis, Finance, or Computer Science.
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Additionally, the Senior Director will help build and lead a new team within Audubon Technology, operating in close partnership with the other Data & Technology teams (Data Analytics, Data Engineering, and Enterprise GIS), Audubon Conservation (including the Science Division), the Chief Strategy Integration office, and other business teams across Audubon.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Collaborate with cross-functional teams including data scientists and product managers to align machine learning solutions with business objectives.
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Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc. Responsibilities Serve as a trusted technical advisor for prospects to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes.
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The successful candidate must demonstrate strong background in technology, data analytics, software development, and programming languages such as R, Python and SQL, with expertise in Business Intelligence tools (Shiny, Tableau, PowerBi.
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OR A Ph. D. or equivalent doctoral degree in a related field of study such as: Sociology, Business Management, Business Administration, Public Administration, Social Science, Environmental Science, Geosciences, Political Science, Law Enforcement, or other fields related to the petroleum industry.
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As a Business Intelligence Engineer you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will be fully remote and report to the CET Business Intelligence Data Engineering Lead. #LI-RemoteYou will:Work with engineering and product teams to design and build financial crimes ETL pipelines to unblock new product launches and improve existing systems.
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A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and.
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OR Three (3) full years of progressively higher level graduate education leading to a Ph. D. or equivalent doctoral degree in a related field of study such as: Sociology, Business Management, Business Administration, Public Administration, Social Science, Environmental Science, Geosciences, Political Science, Law Enforcement or other fields related to the petroleum industry.
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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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This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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Senior Associates are highly motivated and dedicated individuals who can collaborate with internal team members on strategy, new business development, client solutions, thought leadership, and industry trends.
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The Data Science opportunity is a newly created function which has been established to provide digital Artificial Intelligence (AI), Machine Learning (ML), Analytical and Statistical solutions and leading analytical expertise on new and novel approaches to drive operating efficiencies and identify new sources of investment value and partnership opportunities for the business, investment teams and portfolio companies.
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The Global Response & Intelligence Officer will assume primary responsibility for monitoring internal and external crisis events with potential impact to NBCUniversal executives, staff, talent, business, reputation, and/or facilities.
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data science business intelligence jobs Title: senior software engineer in New York
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