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Manage data transitions and platform migrations between SAP HANA/DataBricks, Tableau/PowerBI, and related ETL processes. Proficient in data platforms/systems (such as SQL, Databricks), ETL tools (such as Python, SnapLogic), process automation, and standardization.
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Work closely with our partners across IT, Finance, and EX to manage upstream and downstream Anaplan data integration dependencies. With a strong dose of data savvy and a dedication to build upon your existing Anaplan model builder abilities, you will partner across FP&A, Finance Systems, HR, and IT to craft new functionality, support end user adoption, and champion process improvements.
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Strong value placed on experiences with relational databases and working with large data structures, as well as any developer knowledge in other planning / BI reporting tools (particularly Tableau or Power BI), or database query applications such as SQL.Clear and effective communication skills (written and verbal)Strong proficiency in Microsoft Excel.
$196,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate for this role is a well-rounded top performer with exceptional data engineering, analysis, and visualization skills, capable of driving growth in a fast-paced environment. In this role, you will have the opportunity to help drive Adobe’s pivotal initiatives by data engineering solutions that connect systems to visualization platforms for management reporting.
$170,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies and tools (, Databricks, Hadoop, Spark) is a plus. What you need to succeed Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
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3-5 years of relevant experience working with business processes, data structures, and systems automation at scale. You're a strong analytical, problem solver who is versatile in working with data and logical structures.
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Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). Act as the in-house subject matter expert (SME) for Anaplan, championing adherence to best practices in Anaplan model building and lifecycle management.
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Python and Python based ML and Data Science frameworks. Some experience with system design, ML model assessment, building data pipelines, automation architecture, system deployment. Provide thought leadership to the data-driven community by actively mentoring teammates in standard methodologies to self-serve using the most efficient code and techniques.
$250,900 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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With Adobe Experience Platform, our enterprise customers are able to manage their data lifecycle. Expertise in SQL DB, No-SQL DB, Web Services, Data Intensive applications, Data Processing pipelines.
$234,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We're the ones behind the amazingly crafted content that streams across your laptop, TV, phone, and tablet every day-and we harness the power of big data to help companies move from data to insight and insight to action by delivering quality content.
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The candidate has an innovative approach with passion for fraud detection and prevention along with creativity in data visualization. 7 years of proven experience in data science, machine learning, or related roles, with a focus on fraud detection in subscription-based businesses or financial services.
$211,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Track record of delivering successful Enterprise or Solution/Application integrations, with digital marketing tools and systems related to big data, analytics, testing & optimization, personalization, and activation.
$328,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Care Navigator, you will work with and within physician practices to review medical charts with the goal of capturing missing data that will support care gap closures. Collect and submit data to and from EMR.
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