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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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Collected and reported health and safety data to internal and external stakeholders. Collected and analyzed safety data to draft reports. Education must be in a related major field of study to include safety or occupational health fields or degree in other related fields that included or was supplemented by at least 24 hours of study among the following (or closely related) disciplines: safety, occupational health, industrial hygiene, occupational medicine, toxicology, public health, mathematics, physics, chemistry, biological sciences, engineering, and industrial psychology.
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International filmmaking for a better purpose.
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This position will sustain a key role in the design, implementation, and documentation of profitability solutions, streamline report development and production, integrate financial systems and data, and sustain and navigate ongoing evolution of financial reporting needs.
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5+ years of experience in Business Intelligence/Decision Support/Data Engineering/Data Warehousing roles working with multiple disparate, large, complex datasets requried. Experience working with Python, R, particularly for ETL or Data Science related tasks.
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Familiarity with a Modern Data Stack (I.e., ETL tools like dbt, Airflow, Fivetran, and cloud data warehouses like BigQuery, Snowflake, Azure, or Redshift). Reporting to the CFO, you will own the entire business intelligence function: you will be the expert on company data and use that knowledge to answer questions, provide insight, and improve the business.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Ph. D. in computer science, data science, computational biology, systems biology/immunology, bioinformatics, or other related fields. Ph. D. in computer science, data science, computational biology, systems biology/immunology, bioinformatics, or other related fields.
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Deliver interventional treatments including TMS, Esketamine (Spravato), and Ketamine Infusion Therapy and work closely with experienced clinical leadership team that has been applying innovative treatment protocols for years supported by positive patient outcome data.
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Summary of Job Description: The Sr. Payroll Analyst (Workday) is responsible for implementation of the Workday Payroll system, ensuring effective payroll administration, data integrity and process efficiency.
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The Lead Communications Technician will act as the on-site coordinator and crew supervisor for voice and data installation projects. The Lead Communications Technician will perform quality checks; coordinate moves and cut sheets for voice and data cross connects; prepare red-lined as-built drawings.
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Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
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Experience in handling data environments and designing solutions using cloud services like Azure Data Factory, Apache Spark, Azure Databricks, or similar solutions. This position will be a key technical resource and hands-on implementer of key services including enterprise data lakehouse, design ingestion framework, cloud data security and vulnerability remediation, network optimization, sandbox/workspace infrastructure-as-code and data enablement services, business intelligence services, AI/ML services.
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Advanced Proficiency in MS Office/other spreadsheet, database management, and willingness to learn new supply chain/traceability software and data management tools (e.g., Airtable, Quickbase, PLM.
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The ideal candidate will have experience with Maximo, Cognos, and MyTSR/PDMS systems, and will be responsible for a variety of clerical and data management tasks. Maximo/Cognos Management: – Follow up and perform data mining in Maximo for DRs. – Pull and review reports for data accuracy and analysis.
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data job Title: data scientist Company: Federal Bureau Of Investigation Fbi in Pasadena, CA
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