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8+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau. 10+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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ETL tools Teradata, MS SQL Server, Data Transformation Services (DTS) Export/Import, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Ability to create simple-to-understand visualizations of data using Tableau and/or Power BI. Ability to query in Tableau and/or Power BI. Bachelor’s degree in any of the following disciplines - Finance, Statistics, Analytics, Data Science, or Business.
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Must have experience of working on Transactional systems, ODS, BI/Data Warehouse/Marts, ETL/Data Integration & Analytics, Big Data solutions and Client Solutions and map them to equivalent/better GCP Products.
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Data Visualization: Develop advanced Dashboards in visualization tools such as Tableau/QlikView/Looker. Data visualization tools such as Tableau, Datorama, Alteryx. Analytic Capabilities: Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling.
$40,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Syndicated Data, IRI, Nielsen, Circana, Data Management, Python, R, SQL, Tableau, PowerBI, Strategy, Categories, Analytics, Insights, Statistics, Data Science, Data Analysis, Advanced Analytics, Data Analytics, Consultant, Individual Contributor, CPG, Consumer Product Goods, Consumer Products, Marketing Analyst.
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Experience in Analytics Tools and Frameworks (such as Looker, Tableau or similar) is a huge plus. Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes.
$175,700 - $326,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data Integration: Integrate data from various sources into GCP using services like Cloud Storage, Cloud Pub/Sub, Dataflow, and BigQuery. Data Processing: Develop and implement data processing pipelines using Apache Beam, Apache Spark, or other suitable frameworks to transform and cleanse data for analysis.
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Strong technical skills in cloud based and Informatica SaaS technologies, such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Event Hubs, Azure Stream Analytics, Azure Functions, Informatica Cloud products such as Cloud Data Integration (CDI), Cloud Application Integration (CAI), and MDM, Snowflake, Databricks, and Apache Kafka.
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Partner with Regulatory and Technology stakeholders to deliver and maintain architecture artifacts, including tactical and strategic product roadmaps, data flow diagrams, reference architecture diagrams, process and journey maps, integration diagrams, data and content architecture artifacts, software engineering artifacts and security architecture diagrams.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Intermediate to Advanced data analysis skills and tools (e.g., SQL, SAS, Python, Hadoop, Teradata, Snowflake, Tableau, Collibra, Infosphere, Alation, etc.) Care Plans, Electronic medical records, Health records, Medicare, Medicaid, Care management, Data Governance standards (manage, maintain, enforce vs define, create, capture), agile (jira, Rally, etc), data tools such as Snowflake, Tableau, Collibra, Infosphere.
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Experience building robust large-scale data pipelines and storage solutions using Python, Pyspark, Databricks, Google/Azure clouds, WCNP, Apache Airflow, and other relevant tools. Reporting/Dashboarding tools like Google looker, Tableau, MS Power BI. Familiarity with automated ML frameworks like Vertex.ai or Element.
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