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Own the data product for demand forecasting, leading cross-functionally across Finance, Strategic Finance, Business Intelligence, Rights Acquisitions, Ad Sales, Content, Marketing, and Vertical GMs.
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Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent.
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Minimum of 2+ years of experience with Epic Clarity and/or Caboodle data models or with Cerner Millennium / HealthEintent and experience using Cerner CCL. Experience supporting data pipelines that power analytical content within common reporting and business intelligence platforms (e.g. Power BI, Qlik, Tableau, MicroStrategy, etc.
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Master's degree in a relevant field, such as Linguistics, Communications, a foreign language,- computational linguistics or other language or data-related disciplines is a plus. Dive deep into the data to perform qualitative error trend analysis, and devise action plan to improve data quality.
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Experience with cloud platforms (e.g., AWS, GCP, Azure) and data storage solutions (e.g., Redshift, BigQuery, Snowflake). Data Pipeline Tools: Experience with data pipeline tools such as Apache Airflow, Apache Kafka, or similar technologies, experience with UrbanCode Velocity is a plus.
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PostgreSQL, MySQL, SQL Server, Azure data factory, Azure Synapse, Logic apps, Fabric, ADLS(Azure Data Lake Storage), Azure Databricks, Azure Cosmos DB has context menu. utomate data processing workflows using Databricks, Azure Functions, or Logic Apps for real-time and batch data integration.
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It is selected by and reports to the Manager of the Demography-GIS team in the Signal Detection, Visualization and Performance (SDVP) department within the Office of Data, Analytics, and Performance (DAP.
$8,173 a monthFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency with Excel or Google Sheets and data visualization tools such as Tableau, PowerBI, or Looker (Google Data Studio). Our full-service advertising agency is seeking a full-time Paid Media Specialist who is ready to dive into the data and support various digital marketing initiatives across social, search, and web.
$75,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience with cloud platforms like AWS, Google Cloud, or Azure, including data storage and processing tools (e.g., Redshift, BigQuery, Snowflake, Databricks). Develop and implement data governance strategies, ensuring data security, integrity, and compliance.
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Your Skills & Abilities (Required Qualifications):Master's Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative fieldProficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages.
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Working knowledge with data analytics tools, such as SQL, Java, Python, R, and business intelligence platforms such as Domo, Tableau, Looker. Implement data management best practices, including data governance, security, and compliance measures, to ensure data quality and protection.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Learn and implement best practices in building and maintaining scalable data pipelines using Python, SQL, and modern data engineering tools. Knowledge of data engineering concepts, cloud computing platforms, and integration of AI/ML in software solutions.
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Expertise in data technologies, such as relational databases (e.g., Oracle, PostgreSQL, SQL Server), cloud data lakes / warehouses (e.g., Snowflake, Redshift), data pipelining (e.g., Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, Azure.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago
data job Company: Kimpton in Austin, TX
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