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14-16 Years of Data and Analytics experience with minimum 5+ years in one ore more of cloud platforms like Azure, AWS or Google Cloud Platform and Snowflake Cloud native data services.
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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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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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Experience with cloud-based data warehouse solutions, such as AWS Redshift, Google BigQuery, or Azure Synapse Analytics. Stay abreast of emerging trends and technologies in cloud data warehouse, EDW and analytics, evaluating their potential impact on Party City's data strategy.
$125,000 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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To be successful in the role, we are looking for candidates with expertise in Google BigQuery, Google Cloud Storage, Cloud Composer, Python, and SQL to develop effective data solutions that support their security analytics and reporting efforts.
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Experience with ETL/ELT tools like ADF, Informatica, Talend, etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon Redshift, Snowflake, Google Big Query, etc. Role: Senior Azure / Data Engineer with (ETL/ Data warehouse background.
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State government/public sector experience on IT Projects in health and human services programs (such as Medicaid, MMIS, claims processing, eligibility, HHS analytics, data warehouse, etc.
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Experience with advertising campaign management/buying platforms such as Sizmek, GCM, Flashtalking, Moat, DV, IAS, Mediaocean, Media Tools, Nielsen, ComScore, Facebook, Twitter, Pinterest, Snapchat, 4C, Brand Networks, YouTube, Google Ads, Bing, Kenshoo, SA360, DV360, Google Analytics, Adobe Analytics.
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Experience working with data warehouse platforms to store and manipulate data (e.g. Snowflake, BigQuery) Experience extracting data from source platforms to build reports (e.g. Shopify, Meta, Google, Netsuite) using data extraction platforms (e.g. FiveTran, Airbyte, Hevo.
$150,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role, you will evolve our data warehouse schema, solidify our transform architecture, and establish data governance patterns to serve our internal and external analytics needs.
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Familiarity with cloud-based data warehouses (e.g., Snowflake, Google BigQuery, Amazon Redshift). Familiarity with Adobe Analytics, Google Analytics, or similar digital analytics tools.
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Understanding of data operating models, key media metrics, KPIs and industry standard data sources including databases, DCM and Google Analytics. Familiarity with visualization tools, SQL, Python, Tableau, Alteryx, Google Analytics and Campaign Manager (DCM) preferred.
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Data Engineer will be responsible for working closely with software engineers, database administrators, and key business personnel to create a large variety of reports using Looker and Google BigQuery (Standard SQL.
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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
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Proficiency in using MailChimp, WordPress, Shopify, Google AdWords, Google Analytics, Microsoft Office. Experience in Digital Marketing, E-commerce Merchandising and Web Production functions, SEO, Google Analytics, Paid Search, Social Media, Display, Video, Retargeting, Affiliate Marketing, Content Development, App Marketing, and Product Recommendation Engines.
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google analytics data warehouse jobs Title: analytics Company: Jackson State University in Holdrege, Nebraska
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