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Experience with data extraction, manipulation, and blending across different data sources (Google Analytics, DoubleClick for Publishers, SQL Server, Snowflake, AWS, Salesforce, flat files, etc.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Extensive experience with web analytics (e.g., Google Analytics), WordPress, Search Engine Optimization (SEO), paid media (e.g., Google Ads), and CRM/marketing automation (preferably Pardot.
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Experience with Adobe Analytics, Google Analytics or similar digital analytics tool. Snowflake, Google BigQuery, Amazon Redshift) Reporting to the Director of BI Engineering, the Sr. Business Intelligence Engineer will design, develop, and support business intelligence solutions that turn data into actionable insights which support business decision making, analytics, and product development.
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Experienced in pharma data sets such as IQVIA, Symphony: Xponent, PlanTrak, NPA, DDD, Digital Interaction data, Veeva CRM, Call Activity data, Adobe, Google analytics data, IPad, Social media data.
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JIRA, Confluence) and reporting software (Looker, Adobe Analytics, Google Analytics) Clients include First Avenue, USGA, Red Rocks Amphitheatre, Crypto.com Arena, Coachella, Stagecoach, The O2, and B.League (Japan.
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Leverages a variety of tools such as Python, SAP Data Services, Dataflow, DataStream, Google Cloud Functions, Spark, Google Cloud Run, SAP SLT, Google Pub Sub, etc. Stay updated with the latest industry trends and advancements in data analytics, data science, and data engineering, and apply this knowledge to enhance data capabilities within the organization.
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Proficiency in Google Suite, MS Office programs, SalesForce, Media Monitors, Xray, Nielsen, Google Analytics, Google Ads (SEM), Facebook Ads. Audacy, Inc. (NYSE: AUD; OTC: AUDA) is a leading multi-platform audio content and entertainment company with the country’s best collection of local music, news and sports brands, a premium podcast creator, major event producer, and digital innovator.
$50,000 - $75,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ Years of relevant experience in Google Cloud services such as BigQuery, GCS, Cloud SQL, ML, DataStudio. Subject matter expert for analytical tools and techniques, including SQL, Tableau, Adobe Analytics, and analytics software packages.
$81,500 - $137,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in a variety of data analysis tools such as Google Analytics, GTM, Looker Studio, Domo, and a familiarity of digital marketing metrics is required. Proficiency in Google Analytics, Domo, Google Tag Manager, BigQuery and LookerStudio.
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Strong analytical skills with proficiency in marketing analytics tools and data-driven decision-making using performance marketing platforms and tools, such as Google Ads, Facebook Ads Manager, Google Analytics, and marketing automation software.
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Use technology (e.g., SQL, R, Tableau, Google BigQuery, Python) to develop analytics and reporting tools; lead integration of new technologies and tools into the department’s processes. The Enterprise Analytics Manager plays a leadership role in executing the Caesars Entertainment ‘Enterprise Analytics’ department mission of providing world class analytical support, delivering insights that drive profit, and being a reliable business partner for all operational areas including Gaming, Marketing, VIP (Casino) Marketing/Operations, and Hospitality (Hotel / Food & Beverage / Retail / Conventions.
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Tools: Proficient in website analytics tools (e.g. Google Analytics) Proficient in search marketing tools Proficient in search ads managers (e.g. SA360, Google Adwords, Bing Ads, Pinterest, etc.
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Familiarly with web analytics (such as Adobe Analytics or Google Analytics) and A/B testing software (such as Adobe Target or Optimizely). Support ad hoc web analytics requests using Adobe Analytics.
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You will be instrumental in developing attribution models, forecasting strategies, and implementing reverse ETL feeds to integrate with Google Analytics 4 (GA4) and Google Ads. Extensive experience with Google Analytics, Google Ads, and other digital marketing platforms.
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