future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, analytical and detail oriented candidate to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers … assumptions. • Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized courses of action to deliver comprehensive Analytical solutions. • Enhance analytical maturity through predictive and prescriptiveanalytics using Machine Learning and Optimization techniques. • Produce written recommendations and insights for key stakeholders to help shape solution design. • Design, develop and maintain scalable and reliable analytical … help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science or related field. - 6+ years' hands-on analytics work experience, with proven quantitative orientation. - 3+ years' experience using business intelligence tools like Tableau, QuickSight, PowerBI etc. Hands on experience in Python, SQL, Data Warehouse solutions and databases More ❯
reputation. For every new product launched and every trade executed, it is Operations that develops and manages the processes and controls that enable business flow. OUR IMPACT Data Modeling & Analytics leads BI (Business Intelligence) initiatives in close partnership with multiple Business Units within the Prime Services Organization to deploy high quality data models, analytics and reporting to meet … firm and our clients by securely delivering data to stakeholders • Partner with engineering teams to develop scalable business processes and data pipelines to support our clients • Develop data models, analytics and reporting using capabilities such as Legend Studio, Snowflake, Alteryx, SQL, Tableau, R, Python • Manage prioritization and stakeholder engagement to maximize delivery towards established business goals. BASIC QUALIFICATIONS • Minimum … of 4 years of experience in Business Intelligence, Data Engineering or Data Analytics fields • Analytical, self-motivated, detail-oriented with strong problem solving skills • Ability to work within a high-risk environment and meet challenging deadlines and targets • Ability to communicate clearly with end users, development managers and other stakeholders • Proficient in database query languages such as SQL • Proficient More ❯
future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, analytical and detail oriented candidate to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers … other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor degree in mathematics, statistics, computer science, engineering. 8+ yrs of experience in Analytics/BI, writing and optimizing SQL/Python with large-scale, complex datasets. - 3+ years' experience using business intelligence tools like QuickSight, Tableau, PowerBI. - Strong financial acumen and analyticsMore ❯
extensive capacity at low cost, fostering an inclusive culture that encourages bold ideas and ownership. We are looking for a highly motivated Data Scientist to develop scalable, predictive, and prescriptiveanalytics solutions supporting AWS Supply Chain and Procurement. You will work with stakeholders, data engineers, BI engineers, and analysts to achieve strategic goals. The ideal candidate has a More ❯
QA), and delivery, utilizing a hybrid build model with a trusted technology partner. The platform will enhance member identification, patient outreach and engagement, care coordination workflows, and reporting and analytics for patients with complex medical needs within the client's ecosystem. The project has an ambitious Minimum Viable Product (MVP) timeline of approximately 5-6 months, with a focus … files (for medication data). AI/ML Integration: Work closely with Careology's existing Product team to integrate AI/ML capabilities for enhanced risk stratification, predictive and prescriptiveanalytics, next-best-action guidance for navigators, call preparation, transcription, and conversational interfaces (e.g., Ask Careology for FAQs and research support). Required Skills and Experience Proven experience More ❯
