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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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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.
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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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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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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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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.
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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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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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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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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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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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Responsible for data engineering activities and aiding in building the business' information systems, data governance, data management, data integration and data warehouse for key business areas including but not limited to Manufacturing, Engineering, Spare Parts and Supply Chain.
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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.
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GENERAL SUMMARY OF DUTIES : United Digestive’s Data Engineer will be responsible for developing and maintaining data pipelines, data warehouses, and data models to support the company's Business Intelligence reporting initiatives.
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business intelligence data warehouse jobs Title: platform developer in Atlanta, Norwood, Massachusetts
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