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Reporting to the Director of Finance, the Sr. Manager of Finance supports the CFO organization in a variety of corporate finance initiatives to solve critical finance, strategy, and operations-related problems across the organization.
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Experience using business intelligence tools (e.g. Tableau, Power BI) and data frameworks (e.g. Hadoop) BSc/BA in Computer Science, Engineering, or relevant field; a graduate degree in Data Science or another quantitative field is preferred.
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As a Data Steward, you will join Turnberry's Data Strategy and Intelligence practice and service. Hiring a Data Steward to join our cross-functional Enterprise Data Governance team who partners with business, technical, and regulatory stakeholders to ensure our data organization delivers solutions that meet industry and business data standards.
$140,000 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Excellent communication and presentation skills, with the ability to effectively convey complex data and insights to non-technical audiences. Congo Brands is looking for a Sr. Space Planning Analyst to add to our Sales Intelligence team.
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The Sr. Enterprise Data Architect will work with business groups and IT Leaders to develop and mature the enterprise data strategy, Master Data Management strategy, and incorporate governed and reference data management into the data strategy.
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One Medical is seeking a highly skilled Sr. Manager of Medical Economics to join our Medicare Population Health Programs (MPHP) team to lead the team’s overall Value-based Care data, analytics and evaluation strategy.
$219,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Director / Deputy Director, R&D Strategy will work closely with the Chief Scientific Officer (CSO) and Executive Director (ED) of NATi to direct and shape a national-level programme in RNA therapeutics that will harness the capabilities in A*STAR, universities and Academic Medical Centres (AMCs) across the island.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We work directly with operational users to design, develop, and maintain capabilities that empower analysts to manage and fuse data from multiple sources of intelligence, allowing them to assess, monitor and alert on intelligence in direct support of vital national security missions.
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Experience with Signal Intelligence (SIGINT), Digital Signal Processing (DSP) or DSP related software. Experience with Signal Intelligence (SIGINT), Digital Signal Processing (DSP) or DSP related software.
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Proven experience in product strategy, roadmap planning, and product lifecycle management. Lead product strategy, roadmap planning, and product lifecycle management.
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Maven is looking for an experienced Senior Data Analyst to join our Business Intelligence team to help drive the technical vision and the strategic projects to uncover business insights that enable data-driven decision-making as our business expands.
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The CTI Collections Manager leads and executes CTI's global collections strategy to focus on Priority Intelligence Requirements (PIR), Strategic Intelligence Requirements (SIR), Requests for Information (RFI) and Vendor Management.
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More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Looking for a highly technical, hands-on Data DevOps Engineer for our Data Lake Team that can independently lead data engineering projects and strive to proactively improve process efficiency, making recommendations for process and system improvements where applicable.
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