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Experience or familiarity with the following will be considered a plus:AWS, No SQL databases such as MongoDB, search engines such as Solr, REST APIs & Web Services, Git, Containers. Staff receive opportunities to expand their knowledge in areas of technology (e.g. big data, distributed/cloud computing, complex algorithms), healthcare and organizational development.
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Azure Cloud and Azure Data Factory experienceETL, SSAS, SQL Managed Instance, Synapse, DevOpsExcellent SQL Server database tuning techniques and practices, including partitioning, performance tuning, and working with application development teams for enhanced performanceWell versed in working with BI and Data Science teams to create data pipelines to support data-driven business decision-making processes.
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Working knowledge of SQL, Python, Elastic Search, Kafka, data pipeline, Jira Query Language (JQL) and Confluence. This position will be responsible for owning and driving projects in the US Big Data organization and will work closely with the Data Engineering & Business Intelligence functions as well as global stakeholders such as internal product teams, legal, security and AI organizations.
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Knowledge of Google Search, inclusive of product capabilities and systems and of measurement capabilities, including MMM, incrementality, SQL. Excellent project management skills across multiple stakeholders.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, AirHow, Palantir Foundry, Data Quality tools, Collibra, MOM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite.
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Experience with analytics and data management principles such as: data acquisition and modelling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, "big data" techniques, public/hybrid/private cloud data management and analytics services data security, and data and analytics governance.
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As one of the masterminds behind our strategic planning, forecasting and analysis, you'll spend your time digging into big, complex data sets. Evolve Search strategy by setting the required foundation and infrastructure for measurement needed to advance and maximize Search value.
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Experience with analytics and data management principles such as: data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, "big data" techniques, public/hybrid/private cloud data management and analytics services data security, and data and analytics governance.
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Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc. Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality.
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Or other programming language 1+ years executing and modifying data queries with relational databases (e.g. SQL Server) or other "Big Data" technologies (e.g. Hadoop, Spark, AWS) Basic proficiency with data visualization Excellent communication and interpersonal skillsAdditional InformationAll positions at Press Ganey require an applicant who has accepted an offer to undergo a background check.
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G AWS, Google Cloud Platform, Azure) and big data technologies (Hadoop, Spark, etc) Power BI, Power Apps, Databricks, SQL. As the Data and Analytics Manager, you will play a critical role in shaping our data strategy and leading our analytics initiatives.
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Knowledge of Google Search, inclusive of product capabilities and systems and of measurement capabilities, including MMM, incrementality, SQL. Being an Analyst at Google is about much more than simply crunching numbers its about finding compelling insights within data and translating those insights into action.
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2 years managing SEO at the enterprise level SQL and big data mining experience SEO technical experience SEO certification a big plus 3 years of agency experience or managing enterprise SEO campaigns 3 years experience SEM and SEO Experience developing and implementing SEO strategies, conducting technical audits and SEO problem solving.
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We are interested in a variety of topics including resource management, storage and indexing, caching, query optimization and query execution, security, self-service data cleaning and transformation at scale, data quality, and search and discovery of structured data.
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