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Build and Optimize Playbooks : As the sole Customer Success Manager for the Catalyst product you will build the function from the ground up, developing creative, data-driven processes and playbooks to ensure scalable and repeatable success for our customers.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Minimum of 6 years of experience defining and implementing complex enterprise architectures across the following key areas: Business Architecture, Data and Information Architecture and Governance, Enterprise Architecture Operating Model, Enterprise Architecture Strategy and Planning, Enterprise IT Governance, Infrastructure and Cloud Architecture, Integration Architecture, Security Architecture, Solution and Application Architecture, Technology and Platforms.
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Become an expert in our full range of capabilities: Strategy, Technology, People & Change, Experience Design, Process and Business Analysis, Data & Analytics, Program and Project Management, and Professional Staffing.
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Strong understanding of distributed systems, big data technologies (Hadoop, Spark, Kafka), and cloud platforms (AWS, GCP, Azure). This Senior Manager will focus on building robust data foundations to support OAMs growth and scale.
Full-timeRemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proficiency in BI tools (PowerBI, Tableau, QlikSense), Google Big Query, Microsoft Excel, and Python for data analysis and visualization. Foster a culture of collaboration and cross-functional alignment, working closely with Category, Procurement, and Sales teams to gather relevant data and insights for informed pricing decisions.
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Experience leveraging big data technologies (Hadoop, Netezza, Vertica, AWS, etc) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Utilize technical expertise to implement Adobe Analytics via Adobe Launch and Google Analytics via Google Tag Manager, ensuring accurate tracking and data collection for client websites and digital properties.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. AI Solution Managers then lead cross-functional teams (Data Scientists, Data Engineers, App Developers, and Architects) to develop or configure AI / ML Solutions.
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Familiarity with data visualization tools including Power BI and ability to use big data tools. Support OBS counterparts with station-specific labor reporting via dynamic dashboards to enable data-driven decision making.
$72 an hourExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Hadoop, Spark, or cloud-based platforms like AWS, Google Cloud, or Azure. AI Data Scientist Manager. You understand the data science lifecycle and are experienced in development and implementation of advanced statistical models and machine learning algorithms.
$238,560Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Our products and solutions help Fortune 500 clients transform big data into actionable insights – and insights into business successes. We are seeking a Client Success Manager who can manage Sciera’s contractual obligations to our clients, as well as turn ad-hoc client requests or needs into data-driven solutions.
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Provide thought leadership on High-Level Architecture and Design, data modeling, and Big Data strategy, both to peers and to key stakeholders in the Client. Design and build robust, high-performance, and adaptable data solutions optimized for modern platforms (Big Data, Relational, No-SQL, OLAP.
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Related industry experience (outdoor industry, big ticket durable items, or enthusiast products) preferred. Manage all aspects of new product development from concept through commercializing new products - product features / benefits, proposition, pricing strategy, channel strategy, pricing and promotional plan, asset development, master data, and partner with Marketing on integrated marketing planning.
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big data jobs Title: manager in Atlanta, PA, Australia
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