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This role is W ONLY (NO CC per client requirements)MUST HAVE:-+ years of experience as a Business/Data Analyst working in Data Warehouse, Master Data Management-Strong SQL -Tableau OR Power BI-Data Governance -Knowledge of Government/Public Sector/Education organizations, hierarchies and structure is a BIG PLUS Responsibilities :The firm has an exciting career opportunities for a Data Analyst within the Data Strategy and Enablement group.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$207,763 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Work cross-functionally across product and legal teams (including data privacy, intellectual property, antitrust, regulatory, compliance, and franchise) on product development and commercialization.
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Performing ex-vivo immunophenotyping using multicolor flow cytometer and analyzing flow cytometry data. Analyzing data using FlowJo, Microsoft Excel and GraphPad Prism. Executing and analyzing molecular biology assays such as ELISA/MSD, immunoblotting, RT-PCR etc.
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Technical Expertise: Deep understanding of big data technologies, including but not limited to AWS services (S3, Redshift, RDS), and experience with data pipeline tools like Airflow and Glue.
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As a Data Science Intern on the Data Platform National Team, you will under close supervision, develop quantitative models and statistical analyses for insurance risk modeling. Data Science Intern.
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Syndicated Data (Nielsen/IRI) Measures and systems. The salary range provided for this position is an approximation based on market research, internal compensation data and the candidate’s qualifications and experience.
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Along with the MA and APP, the Registered Nurse (RN) manages patient data in the cardiac device monitoring websites, databases and EMR. The Electrophysiology Device Nurse manages and monitor cardiac device patients in collaboration with an attending physician.
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Performs clerical and clinical duties including patient education for the cardiac device management program. This hybrid position will include both on-site work and remote work. Experience in cardiology and/or cardiac electrophysiology strongly preferred.
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Coverage areas include Accounting, Finance, SOX, Regulatory Reporting, ESG, Capital Management, Basel, Treasury, Liquidity, and RRP. Typically works on projects of moderate to high complexity that would involve learning, as candidate will be responsible for testing the completeness and accuracy of data from point of origin to systems of record, through business use (e.g., reporting) by independently querying systems data.
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Analyze Nielsen and IRI data to identify market trends, sales performance, and competitive landscape. In addition to providing ongoing support for these channels and customer teams, this role will be instrumental in building the next generation of tools, reports, and capabilities for the broader Strategic Account Team. The ideal candidate will be adept at using Nielsen and IRI data, along with other internal and external data sources, to provide actionable insights, build compelling selling stories, and develop sophisticated Excel reports.
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The ideal candidate is a computer vision specialist with general ML knowledge covering entire spectrum of the applied ML/AI workflow including object detection, image analysis, big data handling, MLOps, advanced ML concepts and frameworks (including unstructured data and multimodal ML), distributed deep learning training, and ML explainability.
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Proficient in the big data ecosystem programming languages (e.g. Python, Ruby, Java, Scala). - Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing.
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Prepare various management reports using SAP data including state mandated annual report of procurement contracts. Collect and analyze procurement data required for various reports on procurement activity including contract and inventory related activity.
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big data jobs Company: Abbvie in Armonk, NY
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