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Knowledge of SAP DM /ME site setups, shop floor master data, shop floor execution and tracking, ERP integration, PODs, data collection (DC), genealogy, returns management, site-to-site transfer, etc.
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As a lead engineer with Retail, Site Reliability Engineering team, you will be at the forefront of Cloud and Big Data technology. Use the core Site Reliability Engineering principles of change management, monitoring, emergency response, capacity planning, and production readiness reviews to run the platform.
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Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Or, High School diploma plus 2 years of prior experience in forestry, utility vegetation management, pre-planning, or post-auditing. We’re the only independent national vegetation management consulting firm — giving us the freedom to put our clients first.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$207,763 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
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Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake. While you will not have formal line management responsibilities, as a principal you will be expected to lead, mentor others, and deputize for the director of data engineering when required.
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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. You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics.
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You’ve got experience in one or more of the following areas: incident response, data protection, risk management, counterintelligence, investigations, fraud detection, financial crimes investigation, intellectual property theft, access and identity management, or IT engineering.
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This position may be responsible for the day-to-day Management of the Site Development Section within the Office of Watershed Protection, Department of Watershed Management. Extensive knowledge of technical terminology; extensive knowledge of construction projects - administrative or field; knowledge of engineering, water and sewage, procurement, hydraulics, and geotechnical processes and terminology; knowledge of legal requirements of water conservation laws & ordinances; thorough knowledge of the principles and practices of water resource management and watershed science; knowledge of grant writing and grant management.
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10+ years of proficiency in data and software engineering, with a commendable track record of 5+ years dedicated to engineering management, encompassing managerial oversight of other managers.
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Implement data tagging mechanisms and metadata management so data is accurately classified and visible to the organization. Use agile software development processes to iteratively make improvements to our data management systems Identify opportunities for automation.
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Proven experience as a Business Intelligence Analyst or similar role, focusing on advanced analytics and data analysis. As a MarTech Engineer, Business Intelligence (BI) Analyst, you will play a crucial role in transforming data into actionable insights that inform business strategies and drive performance.
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This individual will be responsible for executing on the operational security program, overseeing Vulnerability Management, Data Security and Protection, Cloud Security, Infrastructure Security, and the Cyber Threat Intelligence program.
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on site data management jobs Title: business in Atlanta, GA
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