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Data movement (real-time replication or ETL/ELT), multiple clouds (AWS, Azure Google, Alibaba), cloud analytics destinations (Snowflake, Databricks, Kafka, RDS, Synapse, BigQuery, etc.) Experience as a data analyst, data engineer, data scientist, or software engineer.
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Represents Medical Managed Care Strategy, both internally and externally, as the subject matter expert in translating the scientific and Health Economics and Outcomes Research (HEOR) data with cross functional stakeholders (Commercial, Market Access, Global Value Real World Evidence (GVRWE)/HEOR, Clinical Development, etc.
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2+ years of recent experience and proficiency with Python, R, SQL and big data technology - Hadoop ecosystem (Cloudera distribution - Impala, Hive, Hbase, Spark, MapReduce etc. This role works closely with US Oncology Access Strategy, US Oncology Precision Medicine marketing, US Oncology Precision Medicine Field teams (PMM), Brand Insights, Forecasting and Brand Marketing, as well asother Commercial Operations business partners.
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Promotes the principles of data resource management and data sharing, reuse of databases and single source data strategy. Also required are analytical skills, the ability to establish and maintain effective working relationships with team members, as well as an innate curiosity around wanting to understand business processes, business strategy and strategic business initiatives to help drive incremental business value from enterprise data assets.
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Proactively shape the process development environment by fully utilizing internal and external know-how as well as cutting edge technologies, techniques and approaches, continuously push and operationalize innovation and data & digital initiatives in line with TRD CGT strategy.
$222,400 - $333,600 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Data Architect ensures tight alignment and collaboration with technology and business teams, taking ownership for essential data strategy decisions. As part of the McKesson Data & Analytics team, this individual will be responsible for designing, developing our data architecture strategy.
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Manage dataflows / create complex data transformations in Databricks, DOMO, and other similar tools. Advanced knowledge in data visualization tools such as Tableau, Domo, Lookr, Mixpanel, or equivalent required.
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Global Data & Tech Strategy Director. Developing global data and tech strategy that fits into the TCCC Global Audience Planning processes and framework. Data & Tech Strategy.
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Working with our business operations and Foundation strategy program partners, the team supports the management of on-premises and cloud data infrastructure, data security and access controls and EDS technology stack and roadmaps.
$137,500 - $224,600 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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The Senior DataOps Engineer is well versed in data management, integration, architecture, and technology principles and has a proven track record of partnering with Architecture, Data Engineering and Operations teams to shape data operations patterns that support Kiewit’s Data Strategy while also meeting stated operational availability, risk, and cost mitigation expectations.
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Familiarity with concepts of Analytics, Machine Learning, Internet of Things, Business Intelligence, Databases, Data Lakes, Robotic Process Automation, Data security/governance/compliance, Data Modeling, Building a Data Strategy, Data Visualization.
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Desired Qualifications:- TS/SCI clearance is required- Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, withdemonstrated experience with digital strategy, IT project management, enterprise architecture,SDLC (Software Development Life Cycle), or transformation.
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The Technical Solutions Engineer will work with pre-sales engineering, cloud, and services teams to understand go-to-market strategy and customer needs to design and development integrated solutions that demonstrates technology capabilities and outcomes.
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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Data Science at W&B is a pillar of the product, business, and culture; as such the Data Science team informs strategy directly, and partners with all parts of the business to build a data-first habit.
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