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Familiarity with analytics platforms such as Adobe Analytics or Google Analytics. Leverage cloud platforms (e.g., AWS, Azure, Google Cloud/BQ, Databricks) for scalable and efficient data processing and storage.
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The ideal candidate will play a crucial role in driving data-driven decision-making processes, with a focus on marketing mix modeling, database management, and advanced analytics. Ability to understand analytics and web based language and applications.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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The Sr. Analyst, Marketing Analytics will be an integral and embedded partner to our Growth Marketing team and help measure and optimize marketing return on investment. 3 - 5 years of proven experience in Marketing Analytics and Growth Marketing (bonus: agency, consumer finance, subscription, or other B2C and D2C experience.
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Experience and expertise in products using modern analytics cloud-based services and platforms such as AWS Sagemaker, Glue ETL, EMR, Data Wrangler, Glue Catalog, S3, Python, Tableau, Pyspark, SQL, Attunity and other adjacent tools used for data exploration such as AWS Athena and Presto.
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Analytical mindset and experience with web analytics tools such as Google Analytics or Omniture. Knowledge of search engine optimization (SEO) best practices and experience with content management systems (CMS) such as WordPress, Shopify, or Magento.
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The Google Fiber Inventory Acquisition team is responsible for business-to-business partnerships with the Real Estate industry that secure the rights for Google Fiber to install our infrastructure and access potential customers (including multifamily/apartment/condo, multi-tenant/commercial/office, and single family/HOA/private road entities.
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We leverage leading technology stacks like Microsoft Azure, AWS, Google Cloud, Microsoft Power BI, Anaplan, Qlik, Tableau, SAS, Cloudera, Redhat and many others - to match your business goals with optimum technology solutions for all your stakeholders.
$120,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - 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.
$137,700 - $229,500 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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As the Head of Data & Analytics, you will be responsible for the definition and implementation of the data strategy and the leadership of an enterprise-wide data organization to continue to shift the culture of Chatham to embrace data as a strategic advantage for the organization.
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Any experience with always-on and high-volume web server stack, Azure/GCP PaaS and Azure/Google networking, provisioning native Managed Apps & CI/CD pipelines. 1 year of experience with technologies such as Kafka, RabbitMQ, SQS, Ansible, Terraform, Docker and Kubernetes, Jenkins, Spinnaker, Azure DevOps, TeamCity.
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Proficiency in Workday Report Writer, Advanced Reporting, and Workday Prism Analytics. Utilize Workday Report Writer, Advanced Reporting, and Workday Prism Analytics to create complex reports and visualizations.
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Assess Google Ads and Paid Social Campaign analytics with Digital Marketing Specialist to share ROI data, including traffic into the ECE website, lead creation, and contract conversion.
$80,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in implementing capabilities including (but not limited to): Omni-channel – Outbound, Queuing, Routing, Flow Building (Architect), Analytics, Speech Analytics, Call Recording, Workforce Management, AI/Client, Chatbots etc.
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Strong Experience with Cloud Based Data Warehousing & Analytics Platform like Snowflake, Databricks, Amazon Redshift etc. 5+ years of experience in implementing data services using AWS, Azure, or Google Cloud Services.
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