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Proficiency in SEO best practices for Amazon and familiarity with PPC campaigns. Utilize SEO best practices for Amazon and implement effective PPC campaigns. Analyze performance data to monitor revenue goals and adjust strategies as needed.
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Ensure that paid search KPIs meet or exceed benchmarks and goals (ACOS, TACOP, CPC, ROAS, CTR, etc.) 6+ years of experience in paid search, preferably e-commerce or performance/direct response.
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Loading data Manually, Workflow, Dashboard process should be in OneStream. Mapping to Transformation Rules(Data management ) Hands on experience with Cube View, Data Base, Application creation process.
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An award-winning ad agency in Miami is on the lookout for a dynamic, creative, and results-driven specialist to join their team in the exciting role of a full-time, hybrid, Paid Search Media Specialist.
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Oversees PACS integrations including DICOM and HL7, dictionary database structure set up and maintenance, application and hardware redundancy procedures, downtime protocols and archival strategies for PACS clinical data.
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Experience working with or general knowledge of Big Data or NoSQL database system (DynamoDB, MongoDB, Redshift, BigQuery, Azureetc) a plus. The Sr. Associate of Data Engineering is gaining experience by building data pipeline and standardized processes.
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He/she will work closely with department managers and supervisors to ensure proper operation of DICOM image data transfers into the PACS as well as network transmission, information system validation and exceptions handling.
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Experience crafting data-driven, audience-first strategies for direct channels and/or paid media as well as 360 marketing campaigns. Experience with Audience segmentation and activation tools (DMP, CDP, Data Onboarders.
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Saildrone works with governments, civil agencies, foundations, universities, and private companies around the globe to drive better information about our oceans and seas—from sailing into the eye of a category 4 hurricane to obtain new data about how storms intensify, collecting new CO2 data in hard-to-reach areas, and counting fish biomass to inform sustainable fishery management, to mapping the ocean floor and reducing illegal fishing and drug trafficking.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. ● This is a full-time or part-time REMOTE position● You’ll be able to choose which projects you want to work on● You can work on your own schedule● Projects are paid hourly, starting at $20 USD per hour, with bonuses for high-quality and high-volume work.
$20Work from homeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge/Experience: Master's degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 1+ years of experience or Bachelor's degree and 3+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
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Skills and attributes for success: - Performs administrative functions associated with the day-to-day use of litigation support software eDiscovery databases, including but not limited to: - database creation and maintenance; - importing images, data and transcripts; - searching and exporting data; - document scanning, OCR and coding; - and document productions - Processing and publishing of electronically stored information for cases.
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Experience with at least one ESB or modern IPaaS such as MuleSoft, Dell Boomi, Informatica, SAP Data Services, etc. 8+ years of relevant post-graduate professional experience with integration platform architecture (conceptual, logical, and physical), developing interface design, data mapping, and integration deployment.
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Experienced in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional and new data integration technologies (such as ETL, ELT, data replication, change data captures, message-oriented data movement, API design, stream data integration and data virtualization) Experienced with implementing data quality frameworks.
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Due to the unique complexities of the business such as technology and data security, it is time for a new partner with the appropriate expertise and resources to invest in the future growth of Kodiak.
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