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Experience in the following areas is important: system integration, processor selection, analog integration, sensor design and integration, data acquisition, sampling and control theory, digital signal processing techniques and low power design, signal integrity, power integrity.
$120 an hourExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The Company’s automation offering, comprised of controls, actuators, drives, and precision motors, controls motion in applications ranging from factory automation to precision control in surgical tools.
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Familiarity and experience utilizing data warehouse, data analytics, Smartsheet, K2 and reporting tools a plus (e.g., Cognos, SQL, R, Python, Tableau, Power BI) In the absence of the Payments Manager, responsible for the reconciliation and processing of all final disbursement activity.
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In this role, you will support the successful development of data strategies, data governance programs, data modernization roadmaps, reporting and visualization tools, and craft business cases for funding of data initiatives at large corporations, in particular regard to EHS and ESG functions.
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Experience in the following areas is important: system integration, processor selection, analog integration, sensor design and integration, data acquisition, sampling and control theory, digital signal processing techniques and low power design, signal integrity, power integrity System grounding/shielding and EMI mitigation techniques for complex sensor/actuator systems.
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Reporting to the CEO, the Chief Scientific Officer (CSO) will play a pivotal role in leading our scientific research and development efforts to drive scientific strategy and to shape the pipeline of novel CNS therapies.
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We are looking for staff / sr staff quantitative analysts with a heavy focus on trading strategy research and development in the energy space to accelerate the maturation of our quantitative trading business, while helping to shape the science-driven products, tools, & processes that will drive the future success of our company.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience building financial analytics models and tools from scratch in MS Excel and experience with one or more of the following: VBA, MS Access, SQL Server, Data Visualization applications (such as Tableau, Power BI, or Spotfire), and Alteryx.
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Proficient in SQL, Python, and data visualization tools like Looker or Power BI. Skills: Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and IAM. Proficiency in data modeling, ETL processes, and data warehousing.
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Expert in data visualization tools and other standard office tools, including but not limited to Tableau, Spotfire, Microsoft Excel and Power point. Participate in GE Vernova Sustainability core team strategic planning meetings and execution of ESG goals, providing key data analysis, trends, and insights to guide data-driven decision making.
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Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery) The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data Visualization Tools (e.g. QlikView, Tableau, Power Bi) Certifications in data science or cloud tools and technologies. Perform assessments of organizations' fraud detection models, including in alignment with the U.S. Office of Comptroller of Currency Supervisory Guidance on Model Risk Management and other regulatory requirements.
$252,450 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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You will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm.
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The ideal candidate will have extensive experience in data analysis within the healthcare industry, proficiency in visualization tools such as Tableau/Power BI, data analysis tools such as SQL/Python/R and experience with systems such as EPIC EMR/Praxis/Cerner/Allscripts and a strong ability to create insightful dashboards that drive strategic decision-making.
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Participate in acquisition strategy for real-world data sources for possible in-license/ purchase and additional analytical tools for analytic needs. PhD in Biostatistics or equivalent with at least 5 years of experience, or MS with at least 7 years of experience in biostatistics, statistical programming, Epidemiology or Data Science.
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