Latest Data Analysis & Reporting Jobs

The Executive Director is responsible for leading the vision, design, planning, execution, and growth of the programs within the MLI. They'll work closely with organizational leadership, partner schools, school leaders, and external partner organizations to ambitiously scale the MLI, with the goal of developing leaders at every stage of their career journeys.. Design the programmatic elements that enable the preparation of leaders, including overseeing curriculum development, planning, facilitation, and iteration of all programs and learning experiences for participants.. Lead all elements of the process for making the Marshall Leadership Institute operationally sustainable, including sales, branding, facilities, partnerships, fundraising, account management, etc.. Plan effective curriculum design and facilitation preparation sessions to ensure partners and participants' needs and goals are being addressed while staying true to the MLI model.. We believe that diversity, equity, and inclusion are directly intertwined with education.

AWS Infrastructure Systems (AIS) encompasses AWS Data Center Planning, Delivery, Operations and Engineering, Network Services, Infrastructure Software and Hardware, and Infrastructure Supply Chain and Procurement Planning.. At AIS, we are responsible for the global enablement and capacity delivery of server, network, and data center infrastructure as well as day-to-day operations and security for AWS data centers globally.. Systems and Supportability (SnS) Supply Planning team is responsible for delivering Data Center and Materials Supply Plan that is the source of truth for all AWS capacity delivery and financial planning activities.. - Manage end to end implementation of supply chain automation capabilities by partnering with software development, Business Intelligence and Data Engineering teams; to improve AWS Infrastructure systems that support Core and Machine Learning (GenAI) planning mechanisms. - Partner with SDMs/PEs/Ops teams to evaluate pros and cons of alternate solutions in order to finalize high level system solution and operational processes

BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience.. MLOps Engineer, Manager - Analytics Operations Engineering Manager, Machine Learning Operations Seattle, WA $240,000 - $280,000 1 week ago.. Manager II, Machine Learning Engineering, Monetization Manager II, Machine Learning - Ads Retrieval Data Engineering Manager, Analytics (Monetization) Bellevue, WA. Software Engineering Manager, Machine Learning Bellevue, WA. Software Engineering Manager, Machine Learning Seattle, WA

Demonstrate sensitivity to Native American Culture and actively seek to learn more about the Squaxin Island Tribe.. Financial Analysis: Knowledge of the principles, methods, and techniques of financial analysis, forecasting, and modeling to interpret quantitative and qualitative data; includes data modeling, earned value management, and evaluating key financial indicators, trends, and historical data.. Responsible for Internal Control and Compact compliance regarding Casino Operations and ensure compliance with regulations of the Tribal Gaming Commission.. A minimum of 10 years of progressive leadership experience in the gaming industry, including at least 5 years in a senior executive position such as Director, Vice President, or higher.. Class III Gaming License issued from the Squaxin Island Gaming Commission

In coordinating ABM campaign elements and tasks, the role interfaces with stakeholders across various internal departments, our digital advertising agency, and external contractors and vendors.. Collaborate with and serve as a main point of contact for sales/pre-sales, sales enablement, marketing, and other teams (including external agencies and contractors) to ensure alignment on ABM strategies and objectives.. Organize and host internal meetings to align sales/pre-sales and marketing on target accounts, campaign timelines, and engagement results.. Experience supporting ABM or lead-generation campaigns, including working with cross-functional teams (marketing, sales, customer success or enablement).. Experience with CRM (Salesforce), marketing automation (Marketo, HubSpot, Pardot), and analytics platforms highly preferred.

Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience.. A minimum of 7 years of work experience (3+ years with a Ph. D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams.. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering.. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You must be equally comfortable digging in to business requirements as you are drilling into design with development teams and developing production ready learning models. Experience with neural deep learning methods and machine learning.. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc.