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Strong understanding of data management disciplines including Data Warehousing, Data Integration, Data Visualization, Advanced Analytics, Big Data Platforms/Elastic Scale, Artificial Intelligence, and other data centric technologies.
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FM Global is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforceBy applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employer s data processor SonicJobs.
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For further inquiries regarding the following opportunity, please contact one of our Talent Specialist Divya | 224 369 2969 Title: Data Steward / Data Domain Lead (Temp to Hire) Location: Deerfield, IL (Hybrid) Duration: 11 Months with possible conversion to fulltime Position SummaryThe Data Steward, or “Data Domain Lead” is accountable for many aspects of data management.
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Experience with data, analytics, and technology solutions (AWS/other cloud platforms, SQL, Databricks, Tableau, SAS, Python, R, etc.) This role will lead Lundbeck's data strategy for the Patient Experience, supporting Lundbeck's Patient Acquisition team, focusing on neurology patient data assets (e.g., data generated from Specialty Infusion Providers, Specialty Pharmacy, and Patient Support Program data contracts) Specifically, this role will play a pivotal role in driving solutions that will serve as the foundation for driving patient journey analytics and inform enhanced patient experiences.
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Reporting to the VP HR, Global People Services, the organization has created the new role of Global HRIS Director to manage the HRIS and Reporting & Analytics functions overseeing the implementation, management, and optimization of technology solutions that support the global human resources function including data that is then utilized for all HR-related reporting and analytics.
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In collaboration with the Oncology TA Head, evaluate potential data sources and their applicability (fit for purpose) for real-world evidence generation to address different epidemiologic study questions of interest in support of AbbVie oncology drug development.
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Adhering to the Company's FCA and data protection obligations by accurately collecting all customer contact and vehicle data, in order to maximise the quality and content of the customer database.
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Design and implement data pipelines using Python, SQL, and Unix to ensure data quality and integrity. Experience with data visualization tools such as Tableau or Power BI. As a Full Stack Developer, you will be responsible for creating the pipelines and endpoints that expose data to the enterprise.
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Experience in Data Pipeline and integration workflow management tools: Talend, Store Proc, Change Data Capture (CDC), Spark & Azure API. 2 years of experience in integrating, transforming and consolidating data from various structured and unstructured data systems for building analytics solutions in any cloud Platforms: Microsoft Azure, AWS or GCP.
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Knowledge in Azure cloud technologies like Data Flow, Data Bricks, Azure Synapse, Power BI Analytics. Works on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
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Complete audits to assess accuracy and quality of scientific data submitted to the regulatory agencies in support of in vivo medical devices and in vitro diagnostic devices' application. Experience of working under own initiative and in planning and prioritizing workloads University or technical college degree or equivalent qualification in relevant sciences such as: Medicine, Pharmacy, Chemistry, Biochemistry, Biology, Microbiology, Biotechnology, Health Technology, Toxicology, Physics, Biophysics, Material Science Biomedical Engineering, Mechanical, Electrical or Electronic Engineering, Computer & Software Technology, Human Physiology, Nursing, Quality Management.
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Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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Coach and train sales partners on all levels of category management topics including consumer dynamic data, syndicated data, market structure data, shopper insights, opportunity gaps, competitive landscapes, and measurements to optimize shelf space.
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Monitors & trends quality report data with operational manager for clinical quality/safety issues and develops associated action plans as needed. Serves as a consultant to the department of nursing in developing strategies for advancing nursing practice and leadership opportunities for nursing.
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data job Title: hadoop consultant Company: Kpmg in Lake Forest, IL
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