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As ADP’s Global Security Organization (GSO), we know that our clients rely on us for human capital management solutions, but beyond that, they entrust us with one of their most valuable assets — their employee data.
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Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. Brand performance analytics and reporting Marketing analytics (preferred) Experience working in Oncology, Rare Disease, Specialty Brand (atleast one required) Proficiency in working with data sources like APLD, Specialty Pharmacy, Hub services, Formulary etc.
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Knowledge of the structure and roles within the risk function at a bank, capital markets organization or broker-dealer, including execution and oversight processes, risk assessment, reporting, controls, testing, and data analytics.
$107,659 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Partner with the Business Sr. Director of Data Management to elevate and provide critical inputs in support of their efforts to align master data across all involved functions knowledge, Experience and Education Extensive experience in data management (7+ years), including at least 3 years in transformation leadership role(s)Good understanding of Data & Analytics and data lake environments, especially as it pertains to master data harmonization to enable data products.
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Incorporate core data management competencies including data governance, data security and data quality. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape.
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Overview This role will work in quantitative modeling group within Modeling and Analytics team to support model development initiatives in the loss forecasting, CCAR (Comprehensive Capital Analysis and Review)/stress testing, CECL (Current Expected Credit Loss) practices.
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Tool and Die Maker Requirements: Requires the completion of a four-year (8000 hr) apprentice program. Metal Stamping experience Tool and Die Maker Benefits: Paid Time off Health, Dental and Vision Insurance 401k Compensation / Pay Rate (Up to): $24.00 - $36.00.
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Advanced Analytics - Demonstrated proficiency in implementing advanced analytics solutions within Snowflake, including forecasting, predictive modeling and anomaly detection, leveraging Cortex AI.Machine Learning Utilization- Proven track record of utilizing machine learning models directly within Snowflake to derive actionable insights from large datasets.
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Plant monitoring and care during vegetative and generative growth stages: transplanting, de-foliation, pruning, staking, and plant structure training; watering and feeding; monitoring climate control systems and pest/disease pressure; inventory data input within the state-mandated electronic tracking system.
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Inspect crops to ascertain the existence of pests and disease and implement IPM (Integrated Pest Management) best practices as directed. Harvesting: cutting down plants; breaking down harvested plants; de-foliating harvested plants; weighing and inventory data input into the state-mandated electronic tracking system; cleaning and sanitizing grow rooms; hanging/organizing harvested plants within the designated dry rooms; monitoring the drying/curing process and climate control systems.
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This role requires a leader with a strong technical background, a proven track record in data engineering, and people management experience. The ideal candidate will have over 10 years of experience in the field, with a deep understanding of data architectures, ETL processes, documentation processes, data warehousing, and people management.
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The Senior Statistical Analyst interfaces with key stakeholders (i.e. Statistics, Clinical Data Strategy & Operations, Medical Writing, Regulatory Publishing and Development Operations.) Develop SAS programs for the creation of ADaM data sets following CDISC standards.
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We help to optimize business strategy and operations by delivering cutting edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We are leaders in managing data using the latest cloud information management and big data technologies.
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Primary Skills :- Data Studio or Looker Studio, Linux Shell Scrpt, SQL, GCP BigQuery, Python. Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, Big Query.
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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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