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Bachelor's degree in health informatics, data science, information science, or a related quantitative field/discipline. Proficiency in data analytics tools (e.g., SQL, Python, R, Tableau, Power BI) and statistical analysis techniques.
$85,000 - $110,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Analyze macroeconomic data and its potential impact on equity investments. The Equity Investment Analyst will be responsible for conducting in-depth research and analysis of publicly traded companies to support investment decisions.
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Experience working with AWS Big Data Technologies (AWS Glue, EMR, Athena, Ec2, Redshift and S3 etc.) Experience working with Open-Source Big Data tools (Hadoop, Spark, Hive, Presto and etc.
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Security measures: A data center technician implements and monitors security protocols to protect data from unauthorized access, malware, and breaches. Equipment lifecycle management: A data center technician is often involved in the lifecycle management of equipment, from procurement to decommissioning and disposal, ensuring compliance with environmental and regulatory standards.
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Who are you and what You'll bring to ABC: Certification as a Board Certified Behavior Analyst with the Behavior Analyst Certification Board (BACB) or scheduled to sit for the BCBA exam. ABC offers industry leading benefits including, Student Loan Repayment, Maternity/Paternity awards, HSA's, Short Term Disability options, BCBA sabbaticals and subscriptions to the Calm App and DoorDash.
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As a Data Abstractor I, you will be responsible for the abstraction of data for complex core measures, trauma, VON, complex cardiovascular services, and/or infectious disease data.
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Experience with big data technologies such as Spark and TensorFlow is a plus. Master's degree or PhD in Data Science, Machine Learning, AI, Computer Science, Statistics, Mathematics, or a related field.
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Familiarity with revenue cycle technology assets and concepts, e.g., point solutions and data interchange, ideally with exposure to product development or implementationEnthusiasm for intensely analytical work Understanding of statistical and advanced analytics methods, e.g., descriptive statistics, predictive analytics, and machine learningExperience sharing your views and perspectives with senior clients and colleaguesAbility to work collaboratively in a team environment.
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Our mission is to build great products that accelerate next-generation computing experiences the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Develop data analysis and reporting to support stakeholders with data driven decision making.
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Execute the technical delivery of projects to alleviate bottlenecks, improve data quality, raise employee NPS, etc., using a combination of technology and/or process improvement, in partnership with Enterprise Technology project managers.
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One (1) year of full-time professional private equity investment experience or other relevant experience involving a high degree of skill in data analysis, financial modeling, and investment evaluation, such as investment banking, consulting, corporate development, or similar background.
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Utilize AWS service-stack wherever possible to implement lean design solutions for data storage, data integration and data streaming problems. Stay abreast of emerging technologies in the data engineering space, proactively incorporating them into our ETL processes.
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5 years of key skill set: Azure data services, Databricks, Snowflake, Modern data platforms, AI/ML, Git. Design and implement data solutions in Azure, using services such as Microsoft Fabric, Synapse Analytics, Databricks, Databricks MLFlow, Azure Event Hub, Azure SQL, Azure Blob Storage, ADLS Gen2, Log Analytics, Purview, Azure Functions, Azure Key Vault.
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Ideal for someone with a strong data engineering background, proven experience in building scalable batch and real-time processing systems, and a track record in payments, risk, or fraud prevention.
$149,282 - $175,100 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We are seeking a Financial Analyst – Hybrid Remote (home/office) who will report to the Finance Manager of Corporate Financial Planning and Analysis (“FP&A”). Utilizes Excel and Oracle Planning and Budgeting Cloud Services (PBCS) for assisting business partners with managing, loading and reporting data used in monthly forecasting, annual budgeting, and annual long-range planning.
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Title: data analyst quantitative in Austin, Morgan-city, Louisiana
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