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Familiarity with TeamMate, Tableau, Alteryx, IDEA, ACL/Galvanize, Workday, Guidewire, Workiva, Power BI, and productivity tools such as Microsoft Office. At least 4 years of work experience, preferably in internal audit, public accounting, information technology, information security or data analytics.
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Business Intelligence/data visualization platforms such as Tableau, Power BI, etc. You will utilize your knowledge of geospatial data and analytics while using tools such as Geographic Information Systems (GIS), Python, and visualization/analytical platforms (ex.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) in order to construct a robust, accurate, 360-view data environment that is unique to each clientDemonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, PythonEmploying techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Using tools such as SQL, DataBricks, Talend, Python, Microsoft Power Platform and Azure Data Factory. We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Manage and maintain vendor budgets for assigned clinical trials and process flows and data exchanges with global pharmacovigilance for clinical trial serious adverse events. Complete trial-specific Statement of Work (SoW) based on parameters supplied by Master Service Agreement (MSA) for Electronic Data Capture (EDC), electronic Patient Reported Outcomes (ePRO) and Interactive.
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Utilize tools like Airflow for workflow management and Kubernetes for container orchestration to ensure seamless deployment, scaling, and management of data processing applications. Continuously evaluate and adopt new tools, technologies, and frameworks to improve the data infrastructure and drive innovation.
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Familiarity with data visualization tools such as Tableau, Power BI, or similar tools to create meaningful reports and dashboards. PCG is seeking a (SQL) Data Analyst who will be to analyze and interpret data using SQL queries and other analytical tools.
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For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Knowledge and previous experience in working with technical teams to implement reporting dashboards (via Power BI, Tableau, etc.) Working with Operational Teams to understand data input and how that data can be used to drive analytics.
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You will work with product owners, architects, developers to build real time/ near real time scalable data integration solutions to enable our Data & Analytics platform in providing relevant, timely and accurate data to self-service BI tools, web platforms via APIs and Data science tools.
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Develops strong knowledge of technical programs (SQL, Power BI, Tableau, R, Python) Experience with data profiling, analytic, and management tools, preferred. In this role, the intern will have the opportunity to gain an understanding of the business by working on various stages of a forensic consulting engagement across issues like bribery and corruption, fraud, money laundering, disputes, litigation, corporate compliance, and data breach response.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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We provide engineering services for green hydrogen production via electrolysis using solar, wind, hydro, and nuclear power sources and we support on-site usage in power generation, fuel cells, and fueling stations.
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power tools bi data science jobs Title: manager Company: American Express in Chicago, IL
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