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Strong relational database skills Experience in telling stories with data using data visualization tools (Power BI, Tableau) You have working knowledge of analytic technologies (e.g. Alteryx, SAS, SQL, R, Python, Power BI, Tableau, Adobe Analytics, etc.
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Data Visualization: Tableau, Power BI, MS Excel. o Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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Microsoft Power BI Data Analyst certified preferred. Design and create interactive and visually appealing dashboards, reports, and data visualizations using Power BI.Connect and integrate data from various sources, such as databases, spreadsheets, and cloud services, into Power BI datasets.
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Develop and maintain robust data pipelines, ETL processes, and data models to support Power BI reporting and analysis. Proven experience (3 years) as a Business Intelligence Analyst or in a similar role with expertise in Microsoft Power BI.
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Experience with data ingestion technologies such as Azure Data Factory, SSIS, Pentaho, AlteryxExperience with visualization tools such as Tableau, Power BIExperience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sage maker, etc.
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Requirements Expert understanding of the electrical and mechanical 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 Expert knowledge of fiber optics / cabling infrastructure and industry best practices.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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The focus is on running server system thermal tests using data acquisition equipment, thermal stress test software, and external power control equipment. The thermal engineer troubleshoots thermal and/or airflow issues in new and existing product lines using empirical data and commercial CFD software.
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Tech and data-savvy with the ability to jump into Web Analytics platforms such as Google Analytics or Data Visualization Platforms (such as Power BI, Data Studio, Tableau, etc) or even Excel and communicate a story with sound data.
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Able to design and Architecture in D365 and Power Platform solutions using Model Driven Apps, Dataverse, Cloud Flows, Power BI, Hands-on experience working with multiple data sources including Dataverse (CDS), SQL/Azure SQL, SharePoint, and other connectors.
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Minimum Two (2) years of Human Resource Domain Knowledge in the last six (6) years designing and developing Data Models in Power BI/SQL Server Analysis (SSAS)/Databricks/Azure Synapse using DAX and MDX. Minimum Three (3) years of experience in the last six (6) in designing and developing Power BI Paginated reports using Power BI Report Builder.
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Knowledge, Skills, Abilities, and Other Requirements:Proficiency in programming languages such as Python, R, and SQL.Experience with data visualization tools such as Tableau, Power BI, or similar.
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Required Licenses: Pharmacist License-NYSPreferred Qualifications:Doctor of Pharmacy (340B ACE CertificationPharmacy IT experienceInformatics degree or certificateStrong Microsoft Excel skills with experience in Tableau, Power BI, and other data analytic/visualization platformsPrior experience with implementation of Epic Knowledge of Six SigmaQualified candidates must be able to effectively communicate with all levels of the organization.
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Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure DevOps. Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.) 8+ years experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud.
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Were doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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