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Topic expertise in most of the areas pertaining to B2B Sales including Campaign to Cash, and Sales Enablement, Sales Automation / Customer Success via relevant Sales Technologies (e.g. CRM, Salesforce, etc.
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Campaign Analysis: Analyze the performance of digital marketing campaigns across various channels such as PPC, display advertising, social media, email marketing, and affiliate marketing. Proficiency in data analysis tools and platforms such as Google Analytics, Google Ads, Facebook Ads Manager, Microsoft Advertising, etc.
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You will be data-driven and a technical expert in all digital platforms (Google Marketing Platform, Facebook Ads, etc. Work with the Digital Media Performance Strategist for day-to-day campaign management and fulfilling implementation requests.
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The Campaign Measurement & Optimization (CMO) organization is looking for a Senior Economist interested in solving one of the most challenging business problems in marketing measurement and developing cutting-edge causal inference models using ML. Working with our team of data scientists, applied scientists, research scientists, and economists, this leader will help redefine scalable marketing measurement at Amazon and its subsidiaries.
$127,300 - $247,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Principal Data Scientist / Applied Machine Learning Scientist – Computational Advertising is a critical data science/applied machine learning role that uses cutting-edge machine learning, deep learning, big data mining and optimization techniques to solve the challenging problems from ads relevance, ranking to campaign optimization.
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Experience with marketing data architectures, such as CDPs (customer data platforms), digital log files (e.g. Adobe Analytics), and stimulus data (e.g. Google Campaign 360, aggregated agency data.
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Experience working as a technical lead in a pre-sales sales campaign. 2+ years Pre Sales and Data Center experience is required. The Senior Pre Sales Technical Architectowns all technical aspects of a sales campaign and hand off to the consulting and services team; maintaining strong relationships with our clients.
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We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization. The Marketing Decision Science team focuses on developing data-driven models and services to bringing high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omni-channel customers who view Wal-Mart as their top choice of retail shopping.
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You will work with engineering, product management, public relations, and campaign marketing while driving the messaging and positioning process and developing a launch strategy for our python developer tools.
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Proven experience in creating content for marketing materials for demand generation campaigns, data sheets, press releases and other promotional collateral and communications. Develop the go-to-market strategy for your product including levers spanning positioning, packaging, offers, channel, marketing campaign tactics and service packaging to drive the business.
$163,000 - $246,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Analyze data, identify inefficiencies and adapt your strategies to improve campaign ROI. Cyberhaven gives organizations the tools to safeguard their data from theft or misuse. In the process, we’ve become the standard for Data Detection and Response (DDR), the category we helped create.
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Gather marketing data across paid and owned channels to analyze campaign performances, understand user behaviors, and report findings. Experience with at least one website analytics platform (e.g.: Google or Adobe Analytics)Experience with at least one digital media platform (e.g.: Google Campaign Manager, Google Ads, Facebook Insights, Search Ads 360, etc.
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Ability to analyze and understand numbers, KPIs, data and patterns (Excel proficiency is a must) For many organizations, the most valuable asset is their data. Keeping that data safe has been a challenge.
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As a Principal Product Manager, your role encompasses being responsible for strategy, development, execution, and enhancement of a unified ML platform, comprising cloud ML infrastructure, data platform, campaign orchestration engine, and content platform.
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Data Analysis: Utilize data analytics and reporting tools to analyze campaign performance, identify trends, and provide actionable insights to the strategist and other stakeholders.
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data campaign jobs in Cupertino, CA
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