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In- Depth knowledge of data warehousing, Hadoop, data lakes, data analytics, data management, data governance and/or BI. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Informatica, Python, SQL and AWS ‘big data’ technologies.
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About the role:Senior Power BI Developer with will be responsible for developing, supporting, and implementing business intelligence solutions using Power BI. This role will apply Microsoft Power BI across the enterprise to build new solutions for reporting and analytics, including model development, data visualizations, security, gateway setup and governance.
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Must have advanced level SQL programming and Data Visualization skills (Tableau, Power BI, Spotfire, D3. Experience with master data management and data governance.
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Cloud Big Data skills, such as Azure, AWS, Snowflake. Deep knowledge of Life Sciences Research and Early Discovery (R&ED ) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab - Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.
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We are searching for an experienced and dynamic Senior Clinical Data Analyst and Modeler to join our team. Knowledge in data modeling, data mining, and segmentation techniques. Experience in data storytelling and knowledge of how people make decisions with data.
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Develop and implement data collecting systems and other strategies to optimize statistical efficiency and data quality. Our Data and Analytics team helps apply cutting-edge technology and techniques to bring solutions to our clients.
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Proven experience as a Data Analyst or Business Data Analyst. Ability to connect "big-picture" industry and market trends to a client's business problem. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
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EY delivers exceptional services to our clients in the data and analytics domain. Interpret data, analyze results using statistical techniques, and provide ongoing reports. Design, construct, modify, integrate, implement and test data models and database management systems.
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Strong Life Sciences R&ED Data Information Architecture Development - Functional and Technical experience. Our service offerings help our clients apply advanced analytics techniques to drive competitive advantage, use advanced learning algorithms to solve complex business problems, realize the full potential of data through vast amount of disparate data sets available to them, generating insights by capturing data from machines and devise in near real-time.
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Experience with data and systems architecture (APIs, messaging, etc.) If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
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Developing data visualization tools such as Tableau or Microsoft Power BI. Partner with the data governance team (and data steward) to ensure compliance with data privacy regulations and.
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Deep expertise working in data & analytics with large volumes of data and experience with “big data”, predictive analytics, prescriptive analytics, simulation, optimization, data visualization, IoT, generative artificial intelligence (GenAI), and causal AI.
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Senior Power BI Developer with will be responsible for developing, supporting, and implementing business intelligence solutions using Power BI. This role will apply Microsoft Power BI across the enterprise to build new solutions for reporting and analytics, including model development, data visualizations, security, gateway setup and governance.
$99,530 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Knowledge of real-time data streaming and real-time analytics Knowledge of Microsoft suite of tools is desired (Power BI, Synapse suite of analytics tools, Azure Data Factory) Strong implementation skills and working knowledge of data structures, algorithms and big data tools (Spark, Hadoop, Python, SQL, NoSQL, Hive); Must have hands-on experience using Spark.
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Familiarity with data programming languages such as Python, R, or Java, and data visualization tools like Tableau, Power BI, or Qlik. Technical knowledge in the area’s development tools, work management tools, release and testing automation, and reporting.
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