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Ability to perform management and Design of Data resources and catalogs using a combination of Informatica Axon & Enterprise Data Catalog. The Lead Business Data Architect will have expertise in cloud/prem platforms and data framework to support the enablement of data engineering and analytics capabilities; ultimately driving a harmonized and integrated data ecosystem to support Serviceability & Spatial Analytics.
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Experience with at least 1 non-SQL database, master data management and taxonomic classification of data. We're seeking a Sr. Business Intelligence Engineer with a strong background in data operations & BI reporting and a passion for data quality and process improvement.
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Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio.
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Eagle Health Analytics is looking for an innovative subject matter expert, who is credentialed as an Oncology Data Specialist (Certified Tumor Registrar) for at least 15 years, to guide the development of technical solutions for the CDC National Program of Cancer Registries.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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MA/MS degree in Computer Science, Computer Engineering, Data or Business Analytics, Data Management, or related field. Author, submit, refine, and execute the Data Management Plan for a large multi-site, multi-organizational CDC sexual health program.
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Bachelor's degree in Urban Planning, Architecture, Engineering Management, Environmental Science, or related discipline. As required by federal and state law, determines application of historic preservation rules and regulations for the development, expansion, or modification of MARTA's transit system.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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Collaborate with the Marketing team to provide input on the most effective product demos, events & activities to support Business Development activities. Direct Lab Sales/Business Development experience.
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Extensive knowledge of data management and analysis tools including Databricks, Snowflake, Domo, and Tableau (Teradata and Cognos a plus; Splunk, Kibana, DataDog, New Relic, or other monitoring tools an huge plus.
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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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Participate with internal and external stakeholders to understand the business logic and other requirements (such as refresh latency) for our Web-based payment integrity solution, client data warehouse exports, and one-time/ad-hoc analysis needs.
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Demonstrated experience in deploying projects in multiple product areas: IT Service Management (ITSM), Customer Service Management (CSM), IT Operations Management (ITOM), IT Asset Management (ITAM), and Field Service Management (FSM.
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Reporting to the Regional Sr HR Manager, the HR Manager leads the facility/group HR team and is responsible for effective execution of human resources functions, such as Talent Development, Talent Selection, Workforce Planning, Engagement, Recognition, Performance Management, Leave Management, Organizational Development, Training, Associate Relations, Compensation, Benefits, Wellness, Risk Safety, Labor Relations, Sustainability and Philanthropy.
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This position plays a crucial role in the entire data engineering practice, encompassing analysis, requirement specification, design, development, testing, and implementation. Hands on experience in design and development of data integration/ETL data pipelines from various data sources and data formats.
$112,000 - $184,950 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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