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Leading the architecture efforts & implementation of data platform on Snowflake, including data modeling, ETL/ELT processes, and data integration / dissemination / Data Sharing.
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Draw on experience with Github, machine learning, advanced programming in SQL and Python, Cloud computing such as AWS, Google and Azure, Tableau, and Simio to design, develop and implement a broad array of business analytics that solve complex problems in a computationally efficient manner by leveraging advanced understanding of statistics and data science.
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Experience with Surfer®, Win-Situ software, AQTESOLV software and/or other groundwater plotting or modeling packages, ArcGIS, Collector, and EQuIS data management. Please apply here for Latham: Environmental Geologist / Hydrogeologist Please apply here for Poughkeepsie: Environmental Geologist / Hydrogeologist At C.T. Male Associates, we embrace diversity and inclusion.
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Incorporate core data management competencies including data governance, data security and data quality. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Maintaining and enhancing our AWS cloud environment such as monitoring, optimization, automation, data maintenance, and security tooling. Building and managing CI/CD (Continuous Integration/Continuous Delivery) workflows and complex system integration using DevOps scripts and frameworks/tools Gitlab, Jenkins, BitBucket, Nexus, CVS and AppviewX. Hands on experience in scripting languages (shell, python, groovy), Terraform modules/templates, CloudFormation(AWS) or other Public Cloud platforms, operating systems (Linux and windows), Configuration Management tools (Chef or Puppet), network fundamentals to build automation framework.
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Prior experience with data visualization tools and libraries such as Power BI, Tableau, Matplotlib, Seaborn etc. Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning, data visualization and other quantitative methods.
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We are leaders in managing data using the latest cloud information management and big data technologies. High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred) Qualitative skills: Independent contributor/Self starter Good communication and presentation skills to present work to Executive Leadership team Able to commute to client location - 25% Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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7+ years of experience evaluating and working with HR vendors, ideally in the Workforce Planning and HR Analytics as well as data visualization tools to support sustainment and scalability of workforce planning programs.
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Provide direct internal customer support to manufacturing, site planning, inventory control, quality assurance, quality control, global master data management, and IT. Develop and provide technical training to Oracle EBS/SAP users.
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Purpose of Role: Join our dynamic Supply Chain team as a Power BI Developer where you will harness data from our data lake, integrating inputs from our ERP and third-party vendors to create compelling, informative visualizations that drive business decisions.
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Working knowledge of Nielsen/IRI/Circana data sets. Be able to cut through the data clutter and deliver unique insights to help drive our growth agenda. Translate data and information into actionable insights and business recommendations utilizing best in class “story telling” and engaging communication.
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Performing data review, including development of data quality indicators (DQIs) and eQAPPs, use of electronic data validation programs, and assessment of usability. Developing investigation approaches and project, data, and measurement quality objectives (i.
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The role leads the US TA insights team across all aspects of identifying key business questions (KBQs), leading the development and execution of an Integrated Insights Plan (IIP) with its various components such as Primary Market Research (PMR), Forecasting (FC), Business Analytics (BA), data strategy, human insights (behavioral science-led) and Competitive Intelligence (CI) in collaboration with internal partners and external vendors.
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Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
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big data jobs Company: At T in Whippany, NJ
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