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Experience with MMM (in particular, interpreting results)Data visualization tools such as Tableau, Datorama, AlteryxAdvanced analytics software package: SQL, R, Python or other Responsibilities Client Relationship Management: gain client’s trust through insightful and reliable work outputPresent findings/insights as well as methodology/data approaches reliably to clients through a variety of different presentation opportunities.
$75,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Programming skills with Python, R, SQL, data visualization tools (Tableau, etc.) Portland General Electric (PGE) is seeking a talented Data Scientist to join our Workforce Planning Team. This role is pivotal to executing the HR Organization’s data strategy which is designed to align HR practices with business priorities, help solve business problems through informed decision making, and prepare the future workforce by responding to changing workforce dynamics.
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Experience working with big data tools (e.g., DataBricks, BigQuery, SQL, etc.) Lead strategic projects in support of Samsara’s long-term growth; work cross-functionally to structure problems, develop hypotheses, conduct analyses to turn data into meaningful insights, and drive solutions and actionable recommendations and results through a rigorous, data-driven process.
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Data Modeling: Requires knowledge of cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques.
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Very comfortable working in the weeds with data using tools such as Microsoft Excel, SQL, Google Analytics, Looker/Looker Studio, Google Tag Manager, and other common reporting platforms.
$130,000 - $210,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake) This role will be responsible for driving the development and implementation of an enterprise data strategy and architecture, including implementation of systems, tools and processes to enable critical use cases in data lineage and lifecycle management, analytics and reporting, systems integration, and process automation.
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Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serv Limited immigration sponsorship may be available 2+ years in the following: Customer Data Modeling best practices Salesforce cross-cloud integrations Proficiency in moderately complex SQL queries Experience in integrating with cloud-based data warehouses/data lakes (e.g. Snowflake, Databricks.
$113,325 - $188,875 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Build the long-term strategy and roadmaps of the technologies under their responsibility, including analytics, data warehouse, data fabric, PowerBI, data collection, mining and integration for SQL and Oracle SQL, artificial intelligence and machine learning based on products direction, market trend, and business needs.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience with technologies, such as Azure Synapse, MS SSIS, ETL, DataBricks, Snowflake, Big Data tech stacks, RDMBS, NoSQL, SQL, Python or R. Oversee Data Management and Data Governance: build tactical aspects of executing on the strategy and drive a culture of governance to ensure that all lines of business take ownership in preserving data value, security, and integrity through enterprise wide process, deploying data quality framework, metadata management, data lineage, catalog, business glossary.
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Collaborate with other business and technical areas within the organization, design and develop corporate analytics data architecture and strategy. The Vice President of Health Analytics will thrive in a fast-paced environment and serve as the expert on healthcare trends, predictive modeling methodologies, benchmarking and interpretation of data, innovative payment methods, program evaluation, quality metrics and analytic modeling.
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You have experience or a good understanding of:- Hadoop-based technologies like MapReduce, Spark, Hive, Presto and Pig- SQL-based technologies like Oracle, PostgreSQL and MySQL- NoSQL technologies like Cassandra and MongoDB- data warehousing solutions and relational database theory- industry-standard software APIs. You have good verbal and written communication skills and can translate technical subject matter to non-technical audiences.
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Experience developing complex data visualizations using Snowflake, SQL, Tableau, or similar technologies. Candidates will engage in targeted training to learn key functional responsibilities of the Client Onboarding team and provide active support to daily operations in addition to their oversight of data strategy.
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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This role will serve as a hands-on contributor and be a thought leader in the areas of data engineering, cloud data strategy, Business Intelligence, Data Modeling and ETL/ELT.
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The Director of Analytics & Data Strategy is a data leader within Strategic Operations and Analytics (SOA), which works to increase HPD's impact by analyzing and improving operations agency-wide.
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