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A successful candidate must be highly organized, self-starting and possess strong data extraction and analytical capabilities. Drive continuous improvement culture change through best practice sharing, vocal advocacy, and visible hands on leadership.
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Proficiency in data extraction, manipulation, transformation, consolidation, querying, analysis, etc. Proficiency in programming languages (R, Python, SQL) Familiarity with scalable model deployment practices and technologies, including containerization (e.g., Docker), orchestration (e.g., Kubernetes), cloud platforms, continuous integration, and continuous deployment (CI/CD) pipelines, monitoring tools, and version control systems.
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Customize storage and extraction, metadata, and information repositories. Advanced knowledge in entity and relationship extraction from unstructured data. Experience with SQL technologies: Databricks (Spark), OR Azure Synapse.
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Experience working with PDN model extraction, simulation, and analysis. Possess strong fundamentals in 3D/2D EM simulation tools, such as: Q3D, HFSS, SiWave, PowerSI, CST, etc. Perform system-level/board level SI/PI simulations, implement, validate and correlate to simulation- Extract interconnect and PDN models based on simulation and measurements- Perform time/frequency domain power integrity simulations and validate- Work with multi-functional team to solve and enhance PI/SI issue that affect Desense and EMI.
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Proficient with Excel, Word, and ability to learn and train/supervise others on data extraction and other software used for audit efficiency. Serves as departmental role model by adopting CDH core values and the Firm’s Five Star philosophy specifically in the areas of providing outstanding service to existing and potential clients; communicating effectively with team members and fostering a spirit of teamwork and continuous improvement.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources (including ground, hybrid cloud, and cloud) using SQL and various programming technologies.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and other common data architectures and technologies. The Data Specialist will be responsible for building analytical tools, dashboards, and methodologies from various and complex data sets from both internal and external sources to optimize renewable natural gas (RNG) operations, facilities, equipment and SCADA systems.
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Experience with analog design and verification tools (Virtuoso, Spectre, ADE and post layout extraction tools) is a must. Should have strong analog design fundamentals and experience in designing analog circuit blocks such as PLL, Data Converters, Oscillators and high-speed SerDes blocks (CTLE, FFE, DFE, CDR, PLL, Line driver, etc.
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Proficiency with data visualization tools such as PowerBI, Tableau, or Sigma Familiarity with Snowflake or other cloud-based query applications Actuarial/statistical based analysis Experience with extraction, transformation, and loading disparate healthcare data sources Demonstrated ability to work on multiple projects simultaneously while leading a team Understand current issues in health care financing, delivery, policy, and regulations.
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Developing unit and end-to-end integration migration test plans (including testing for data extraction, transformation, data loading, and data validation) This includes mapping the current account codes to the future account codes and Project/Organization/Expenditure Type/Task (POET.
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Working on Pega Business Intelligence Exchange (BIX) data extraction for analytical reporting. Decision Strategy Manager (leverage AI and NLP to analyze customer moods) Working on Pega Business Intelligence Exchange (BIX) data extraction for analytical reporting.
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Hands-on experience with downstream screening methods including high-throughput plate assays, DNA/RNA extraction and sequencing, and more. Hands-on experience with downstream screening methods including high-throughput plate assays, DNA/RNA extraction and sequencing, and more.
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Work closely with the business intelligence and tech team to define, automate and validate the extraction of new metrics from various data sources for use in future analysis and reports. Through 16 years of continued investment in technology, data analytics, and innovative marketing and merchandising strategies, we have built a powerful platform and brand that we believe is connecting with the next generation of consumers and is redefining fashion retail for the 21st century.
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Configure, deploy, and support bots to automate repetitive tasks, data entry, data extraction, and other manual processes. Experience using workflow-based automation software, such as RPA packages like Automation Anywhere, Xceptor, ActiveBatch, MS SSIS, etc.
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Strong hands-on experience in the Python toolkit for imaging data manipulation, feature extraction and machine learning (e.g., numpy, scikit-learn, pytorch, etc. Strong hands-on experience in the Python toolkit for imaging data manipulation, feature extraction and machine learning (e.g., numpy, scikit-learn, pytorch, etc.
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