Top Senior Analytics Jobs in Greensboro, NC

The role involves partnering with finance leaders to provide analytical insights, designing frameworks, developing dashboards, and leading a high-performing analytics team while utilizing SQL and data visualization tools.

Drive analytical insights and strategies for borrower acquisition and retention, partner with various teams to enhance growth, and mentor junior analysts.

This role oversees a team that analyzes MetLife's mortgage portfolios, delivers high-impact analytics, and collaborates with various stakeholders for reporting and compliance.

The Analytics Manager for Credit Risk will lead credit strategy, enhance underwriting with machine learning, and manage cross-functional partnerships, focusing on data analytics and risk knowledge.

Lead analytics engineering for finance data, delivering governed models and reporting solutions, improving data quality and controls, and partnering with multiple stakeholders.

The Cloud FinOps Specialist analyzes and optimizes cloud costs, develops reporting pipelines, and collaborates with engineering teams to enhance cost efficiency and reliability.

Lead analytics strategy for a financial institution, ensuring compliance and driving marketing analytics through predictive modeling and team management.

The Strategist III, Value Analytics will own strategic workstreams, revamp dashboards for billing data, conduct analyses, and lead independent projects, improving Cedar's reporting suite.

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.

Manage and validate financial models, ensuring accuracy and compliance. Collaborate across teams to improve model performance and frameworks.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

Lead the analytics engineering team, build data models, ensure data quality, leverage AI for analytics, and empower product teams with insights.

Lead a team of analysts, manage analytics product development, ensure data quality, build self-serve dashboards, and partner with cross-functional teams.

Design and optimize fraud detection rules, managing libraries and workflows, collaborating with teams for analytics, and providing strategic insights.

Lead analytics efforts for Affirm's card platform, focusing on payment networks, partnership evaluations, and product strategy. Build measurement frameworks and dashboards to enhance card acceptance and customer satisfaction.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

The Senior Data & Analytics Consultant will lead data structuring, reporting, and analysis for the pet business, ensuring accurate reporting to meet business objectives.

Oversee the development and maintenance of credit risk models, ensure compliance, validate performance, and manage a team of analysts.

The Marketing Analytics Manager role involves managing marketing performance metrics, analyzing campaign performance, and collaborating with teams to optimize marketing investments and conversions.

The Director of Analytics will lead the analytics team, drive data-driven decision-making, and align analytics initiatives with business objectives across various teams.

The Analytics Manager leads a team to deliver impactful analytics, manage the analytics roadmap, establish best practices, and synthesize complex data insights for product strategy.

Lead a team of Data Scientists, Analytics Engineers, and Data Engineers to drive messaging strategies through analytics and data science, ensuring collaboration across various business domains.

Manage and develop advertising analytics strategies, build analytics models, optimize advertising performance, and lead a high-performing team while collaborating across functions.