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The People Analytics team acts as an internal innovation lab, using analytical approaches to make sure Google continues to be a great place to work. Within People Analytics, the Business Intelligence team performs the role of Analytics Engineers, making sure people data is available, useful, trusted, and secure.
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Experience using SEO tools (e.g., SEMRush, AHRefs, Google Ads, Optmyzer, Google Search Console), LinkedIn analytics, Data Studio reporting from Google, A/B testing software, and/or chatbot plugins.
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Experience using digital marketing tools and platforms, such as Google Ads, Facebook Ads Manager, Google Analytics, Google Tag Manager, email marketing automation software, and SMS marketing platforms.
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Experience using industry tools (Google Analytics, Google Search Console, Google Adwords, Facebook Business Manager, etc.) MUST BE EXPERIENCED IN DIGITAL MARKETING , specifically Search Engine Marketing (PPC), Programmatic Display and Video, Connected TV (CTV/OTT), Search Engine Optimization (SEO), and Social Media Marketing.
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UMGs Analytics & Insights team within the Global eCommerce & Marketing group is looking for a Senior Business Intelligence (BI) Developer to help unify data sources, package analyses, and communicate meaningful insights to internal, label, and artist management audiences.
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At Ford Motor Credit Company, we are modernizing enterprise Core Platforms and integrating new lending platform to Google Cloud Data Platform (Data Factory), to improve Data, Analytics and AI/ML capabilities, and enhance customer experience, regulatory compliance & operational efficiencies, enabled by Google Cloud.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Knowledge of web analytic tools and functions (e.g., Google Analytics, Google Adwords, SEO) Experience in digital, content and social media marketing (Google Ads, Meta, TikTok, Amazon DSP & rich media, Influencers & UGC.
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The Processing Analytics Supervisor will be responsible for ensuring that the Processing Analytics team has correctly entered data across all data systems (Google sheets, Smartsheets, METRC, Biotrack & NAV.
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Run/Approve reports in METRC, Biotrack, Google sheets, Domo and NAV in relation but not limited to Processing Production, Yields & Inventory. Works under the direct supervision of the Manager of Processing Analytics, and also takes direction from the Manager of Cultivation Analytics, as required.
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Proficient in rapidly mastering new platforms such as Kentico, Duda, Agency Analytics, WebCEO, Google Analytics, Google Search Console, Google Business Profile, Google Lighthouse, Web Vitals, Bing Webmaster Tools, Schema, Yext, Google Ads, Facebook Ads. We are ever-evolving and adding new tools and technologies as we grow.
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Certifications preferred: Salesforce Admin, Hubspot, Google Analytics, Pardot, Marketo, Segment, Winning by Design Revenue Architecture. Strong technical skills, with expertise in Salesforce, Hubspot, Google Analytics, Tableau.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Certification in Google Adwords, Google Analytics, or similar platforms is preferred. Stay certified in Google Adwords, Google Analytics, and other relevant platforms.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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Proficient in Google Cloud Apigee API Management for enabling API security, traffic management, and analytics for microservices. Proficient and hands-on coding experience in Java, Microservices, Spring Boot, API , Apache Kafka , Google Cloud Apigee API , GCP Cloud, Development in cloud environments.
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