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The Employee Portal AEM is expected to have sufficient skills to begin work immediately, with Adobe Experience Manager, SQL and PS/SQL, integrate diverse technologies such as Salesforce, Geographic Information Systems (GIS) and Oracle database and applications, WCAG accessible web applications by using Adobe Sites, CSS, JavaScript, web services and HTML.
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Advanced knowledge of SQL, comfortable writing and debugging SQL queries and extracting from Azure SQL Server; knowledge of diverse data stores and data integration tools is a plus (Azure Databricks, Snowflake, Data Factory, Matillion, etc.
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Full text indexing and searching technologies such as Lucene and ElasticSearch, tuning indexing and searching for search relevancy and accuracy; using data mining and machine learning tools and algorithms.
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Experience in Alteryx (SQL), Tableau, MapPoint, Qlikview and SAP is beneficial and preferred. Additionally, TBC responds to the needs of consumers in search of total car care at more than 2,000 franchised tire and automotive service centers under the Big O Tires® and Midas.
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Are you a Senior Data Analytics Manager who has a strong SQL, ETL and Looker background looking to help transform the way data impacts a telemedicine brand? Expert level analysis in cross channel marketing, social media, paid search, and customer acquisition.
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Experienced in SQL Server, QlikSense, QlikView, Alteryx, Six Sigma, PMI, Agile, Continuous Improvement preferred. In 2018 Michelin, the largest tire manufacturer in Europe, invested in the company which is now a 50:50, privately held joint venture between Sumitomo and Michelin.
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Demonstrated expertise in utilizing common IT tools typically used in an IR office (including but not limited to Adobe Creative Suite, Banner, data visualization software platforms, NVivo, SPSS or R, Microsoft Office Suite, SQL, Snap Surveys or Qualtrics, Workday, web browsers, and search engines.
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Experience with database design and development (e.g., SQL, NoSQL), and familiarity with search technologies (e.g., Elasticsearch, Solr). Experience with front-end technologies (HTML5, CSS3, JavaScript/TypeScript) and frameworks (Angular, React, Vue.js.
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Hands on experience architecting and delivering solutions using the Azure Data Analytics platform and solutions including but not limited to Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Search, and Snowflake.
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Epocrates Engineering tech stack includes native iOS and Android apps, Java, AWS, ECS, Kafka, Knowledge Graphs, SQL and non-SQL data stores, React, TypeScript, Python, Vector Search DB, Docker and Kubernetes, as well as a suite of in-house and third-party content publishing tools, an A/B experiment design platform and a commercial-advertising platform.
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Experience using paid marketing tools (e.g. Google Ads), marketing analytics and tracking tools (e.g. Google Analytics, Google Tag Manager), search and SEO tools (e.g. GSC, SEMRush, Ahrefs), data visualization tools (e.g. Looker/Tableau) as well as experience with Excel/GSheets and SQL.
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Familiarity with visualization tools, SQL, Python, Google Analytics and Campaign Manager (DCM) preferred. Collect and manipulate multiple sources of data to analyze the state of our clients’ businesses across multiple channels (paid search, display media, website, social media, advertising campaigns, offline media, brand sales and brand equity) ensuring accuracy of the output.
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Minimum 5 years of experience in data analysis tools and programming languages (e.g. Looker, Power BI, QuickSight, BigQuery, Azure Synapse, Python, R, or SQL) Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.
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Hands-on experience with database systems (e.g. SQL, NoSQL, vector, search) and data warehousing solutions (e.g. Snowflake, Redshift, BigQuery) Proficiency in programming languages such as Python, Java, SQL, or Scala.
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Well-versed in core advanced analytics data mining and scripting tools such as Python, R, and SQL. Strong knowledge of media channels and concepts (i.e., Display, Paid Search, SEM, SEO, Social.
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