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Stay up-to-date with emerging technologies and industry trends in cloud computing, big data processing, and data engineering. What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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Improve scalability and performance of the platform through integration with big data frameworks (Databricks, Snowflake, etc. Experience with data visualization tools and packages like matplotlib, Plotly, Tableau, Qlik, etc.
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Must have advanced level SQL programming and Data Visualization skills (Tableau, Power BI, Spotfire, D3. Cloud Big Data skills, such as Azure, AWS, Snowflake. Deep knowledge of Life Sciences Research and Early Discovery (R&ED ) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab - Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.
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Experience with data visualization tools such as Tableau and Power BI. Experience with big data technologies such as Hadoop, Spark, and Kafka. Experience with data warehousing and data mart technologies such as Snowflake, Redshift, and BigQuery.
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Experience with big data technologies that may include the following: Azure Cosmos DB, Kubernetes Services, Azure ML, NoSQL, MongoDB, Cassandra, Couchbase, etc. Data Visualization, Auditing, Data Validation and Data Mining.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is a plus. - Proven experience as a BI Architect or similar role, with a strong background in data analysis, data modeling, data integration, and data visualization.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Data Visualization: Work closely with business stakeholders to understand their reporting and analytics requirements. Define and implement data access controls, data lineage, and data privacy measures.
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience applying basic statistical methods (e.g. regression) to difficult business problems- Experience with data querying or modeling with SQL- Experience with scripting language (e.g., Python, Java, or R)PREFERRED QUALIFICATIONS- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design- Experience with statistical analysis, co-relation analysis.
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Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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You have strong data visualization skills (Looker and Mode are preferred) You have at least 2 years of relevant data experience in Product, Sales, or Marketing analytics, ideally within a Product Led Growth or Enterprise SaaS environment, resulting in experience with tools such as Salesforce and Outreach.
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Experience working with batch data engineering and "big data" technology (such as MapReduce or Spark) Familiarity with Tableau or similar data visualization tools. We are recognized as leading providers of incentives, advertising, marketing services, transaction solutions, customer data and cross-channel campaign management, and intelligent media delivery that create millions of customer touch points annually for their clients.
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This includes data from our Ad Serving partners, Ad Exchange partners, and Measurement vendors. We work with multiple terabytes of data to generate relevant reporting or export meaningful data points for use in client facing dashboards and tools.
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Experience with data warehousing and analytics (including Snowflake, Redshift, Databricks, or Big Query) With others on the Data team and the Analytics Process Manager, your strategic thinking helps Favor build a balanced data and analytics strategy that avoids the chaos and confusion of the data wild west and roots out overly complex data visualization and analytics solutions.
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Data science and visualization experience with transportation data, including big data such as Replica, Streetlight, INRIX, or other location-based data. What We Prefer:Proficiency in ArcGIS Pro, ArcGIS Online, Tableau, R, Python, Excel, and other data analysis and visualization tools.
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Must Have Skills/Attributes: Big Data, Data Visualization, Kubernetes, Metadata, Oracle, Python, Spark SQL, SQL, Tableau. Experience in Data Visualization (Tableau, Python required; Splunk a plus), if Javascript and its libraries (e.g., D3, ReactJS, Next. JS) a plus.
$53.19TemporaryExpandApply NowActive JobUpdated 8 days ago
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