Business Analysis Manager, Data Quality At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation
Senior Associate, Global Technology Financial Planning & Analysis The Global Technology Financial Planning & Analysis (FP&A) organization provides executive financial oversight for the firms 68,000 technology resources and ~$20B technology investment portfolio. Our team partners across
Transform data into business insights and drive innovation in Payments Transformation business, enhancing customer experiences and shaping the future of financial services. As a Data Scientist Lead, Vice President on the Payments Instrumentation and Metrics Analytics team, you
Duties: Analyze and interpret data sets to support strategic initiatives and financial planning. Develop and deploy machine learning models to predict financial outcomes and identify trends. Perform risk-based analyses to identify trends within client portfolios. Utilize anomaly
Join JPMorgan Chases Firmwide P&A Transformation and Innovation organization and help shape the future of planning and analysis. In this exciting role, youll translate complex planning processes into scalable Anaplan solutions that improve quality and efficiency.
DESCRIPTION: Duties: Independently lead and execute analytical projects end-to-end, from project proposal to presenting results to Senior Leadership. Collaborate with business managers from product teams to develop information suites including dashboards, reports, and deep-dives and craft
If you are passionate about delivering data-driven solutions and building automated, innovative MIS capabilities, you have found the right team. As a Analytics Solutions Assoc Sr within DART (Data, Analytics and Reporting Team), you will play a crucial
The CCB Risk Modeling team is seeking talented professionals with expertise in machine learning, explainable AI (XAI), and responsible AI practices, with a focus on credit decision and fraud modeling applications. Our work centers on explainability,