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We're seeking a Business Intelligence Lead with a strong background in healthcare data operations and a passion for data quality and process improvement. The Business Intelligence Lead solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers.
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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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Proactively identify new data sources, analytical tools, and emerging technologies that could enhance the organization's business intelligence capabilities. This includes providing thought leadership for a team responsible for collecting, analyzing, and disseminating intelligence products and managing risk across multiple stakeholders, including Enterprise Risk Management, Business Development (M&A), Supply Chain, Cybersecurity, Incident Management, Business Continuity, Special Events, Executive Protection, Physical Security, and Travel.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Serve as the Product Owner for Finance business intelligence initiatives, spearheading the Artificial Intelligence (AI) transformation of raw data into high-impact dashboards and actionable reports.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Global BI Report Developer will be a part of the Business Intelligence Team, working with Data Engineering, Infrastructure, Business Analytics and global business and IT teams in the design, development, and maintenance of the company’s global Business Intelligence reporting tools and reports.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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The Data Engineering Manager is responsible for managing, coaching and mentoring a team of data engineers that will build data pipelines and data warehouse solutions to support business analytics.
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Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
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Reporting to the Director of User Experience, the UX Business Intelligence Analyst will be responsible for generating, staging, and analyzing user experience data, deriving and displaying insights in an appealing and impactful way, and implementing business intelligence solutions to enable continuous monitoring and self-service UX analytic capabilities.
$60,944 - $110,323.2 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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You will also work with the Business Intelligence (BI) team to provide valuable views and data products for downstream users across multiple functions, again with particular emphasis on combining data from multiple countries.
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Monitor, analyze, and report on key performance metrics using business intelligence tools such as Tableau, providing insights and recommendations for data-driven decision-making. 4+ years’ of experience in Data Analytics, Business Intelligence and Reporting.
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The Lead Business Data Architect will have expertise in cloud/prem platforms and data framework to support the enablement of data engineering and analytics capabilities; ultimately driving a harmonized and integrated data ecosystem to support Serviceability & Spatial Analytics.
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Subject matter expert for analytical tools and techniques, primarily in business intelligence platform management (Tableau, Looker, PowerBI, Domo) and supporting tools (dbt, git) As a key member of the Data Intelligence team, this includes preparing and executing analytic strategies, measurement and reporting for CRM digital and non-digital marketing campaigns and making proactive recommendations that drive the key performance goals of our clients.
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TasksTasksPosition Objective:The Senior Analyst, Data Operations at Porsche Financial Services, Inc. (PFS) is part of the business unit Digital Transformation & Data Analytics and represents the interface between the data intelligence team and business operations.
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By combining tactical skills with a deep understanding of global Data Privacy Regulation (i.e. GDPR, CCPA), local data-centric regulations (i.e. SOX, GLBA), and industry best practices (i.e. AI Ethics, PII, IAPP and PCI credentials and certifications), Data Governance is a critical partner to Enterprise Risk, Information Security, Compliance, Privacy, and Legal to enable and drive business goals and FIS data strategy, while helping to protect from risk.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Expert knowledge of data flows and the impact of data throughout the system landscape from creation to consumption into downstream business systems and data lake/data warehouse environments.
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business intelligence data warehouse jobs Title: market intelligence analyst in Atlanta, Norwood, Massachusetts
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