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Business Intelligence: Qlik, Domo, PowerBI, Tableau (focus on admin, data pipelines, and light development) A critical role in a dynamic company where data engineering is directly linked to enhancing client business performance.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working to design, build and support a transformational Databricks cloud data platform for the business. Being a core and professional member of our data engineering practiceUnderstand business requirements and help refine development tasks and estimate their complexity.
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An active listener and clear communicator; can lead by influenceAbility to find creative solutions to complex problemsExhibit a strong sense of urgency and ownership for task/project completionHighly adept at working collaboratively across multiple business and technical functions to achieve resultsWhy CoverMyMeds.
$78,500 - $130,900Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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This role creates value by using data to help drive business results. Learning and understanding the Georgia-Pacific Wood & Fiber Supply commodity trading business. Your Job We are seeking a Forest Business Analyst to support the analytical needs of Georgia-Pacific's Wood & Fiber Supply Organization.
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Assemble large, complex data sets and model our data in a way that meets functional non-functional business requirements. Create data tools for analytics team members that assist them in generating innovative industry insights that provide our business a competitive advantage.
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Perform sophisticated card fraud analyses and strategy support using advanced analytics & data science tools to provide actionable insights and real-time changes to card fraud detection tools that improve business outcomes and minimize fraud risk.
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Prior experience or interest in data analysis including Python, SQL, API’s and Power BI. You will gain an understanding of how the firm and ETF ecosystem functions and leverage your financial markets / investment management industry knowledge and your technical abilities to collaborate with business, technology, product and operational leaders in delivering the firm’s most critical and valuable ETF projects.
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When not working on machine learning models, Identify data; define metrics and analyze needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
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Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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We partner with the most innovative software providers in the data engineering space to solve our clients' toughest business problems. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better.
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NET based applications, CLIENT databases (Oracle/Oracle Exadata, SQL Server), data warehouse (Oracle Exadata), and enterprise reporting (Oracle Business Intelligence Enterprise Edition (OBIEE), Data Visualizer, or Power BI.
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Culture: support business strategy and team building that secure Inspire Brands’ anchor as a best place to work for Mavericks, Allies, Visionaries, Achievers, and Good Citizens. Act as a primary thought partner to business leaders, providing human capital consultation and guidance in accordance with the Inspire Brands “People First” business strategy.
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In this role, you will play a crucial part in ensuring the availability, reliability, and performance of our modern data platforms being built using Snowflake, Fivetran, dbt, and Airflow all hosted on the Google Cloud Platform (GCP.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine. A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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business data jobs Company: Advocare in Atlanta, GA
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