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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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Strong experience with web analytics tools such as Google Analytics, Adobe Analytics and setting up the right technical and data foundations with respect to campaign naming, taxonomy, utm parameters etc.
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Experience implementing solutions using at least one of the following technologies Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google Big Query, Alteryx, SSIS, Informatica.
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Impatient, tu souhaites profiter de ton stage pour monter rapidement en compétences sur différents langages et outils d’analyse de données et de data visualisation : Python, SQL / Big Query, Google Analytics 4, Looker Studio, Tableau, Power BI.
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Working experience in few of these technologies e.g., Dell Boomi, Snap Logic, MuleSoft, APIGEE, AWS, Microsoft Azure, SQL/DB, Salesforce, Java/JavaScript, BI/Analytics etc. We boast of mutually beneficial partnerships with leading technology giants like Google apigee, Dell Boomi, Salesforce, Microsoft Azure and Informatica.
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We are looking for an data engineer who will be working in the streaming organization and interacting with both internal data engineering and analytics teams and external enterprise data engineering teams to build next generation data solutions on the GCP and Snowflake.
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Customers from over 170 countries depend on ActiveCampaign’s mix of pre-built automations and integrations (including Facebook, Google, WordPress, Salesforce, Shopify, and Square) to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle.
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Advanced working SQL knowledge and experience working with Cloud columnar databases (Google BigQuery, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases.
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The ideal candidate will have knowledge of data schema and integrations between multiple platforms (Adobe Audience Manager, Adobe Analytics, GA360, Google Campaign Manager, SA360, DV360, Marketo, Liveramp, etc.
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Intermediate SQL query writing and experience implementing and working with analytics data warehouses (e.g. BigQuery, MySQL, Snowflake) Experience with BI tools (e.g. Tableau, Looker, PowerBI) and advanced Excel or Google Sheet functions.
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Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure. Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self-serve analytics.
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Our Enterprise Data & Analytics (EDA) is looking for an experienced Platform Data Engineer to join our growing data and analytics engineering team. BI (Tableau, Google Data Studio.
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The candidate will closely work with our internal agency team which partners with renowned platforms such as LiveRamp, Snowflake, Meta, Roku, Microsoft/Xandr, Trade Desk, Meta, Google and others to drive initiatives that amplify our media impact.
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Knowledge of tools which integrate with Marketing cloud such as Interaction Studio, Datorama, Google Analytics, CDP, Salesforce CRM, MDM, Snowflake, etc. Knowledge of tools which integrate with Marketing cloud such as Interaction Studio, Datorama, Google Analytics, CDP, Salesforce CRM, MDM, Snowflake, etc.
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Familiarity with various business systems (e.g. Salesforce, Hubspot, Heap, Segment, Google Analytics, etc. 6+ years experience in a analytics engineering, data engineer, or business intelligence role.
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google analytics jobs in Snowflake, AZ
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