Top Remote Analytics Jobs in Phoenix, AZ

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.

Lead analytics work translating complex healthcare data into decision-ready insights. Own KPI definitions, Snowflake data marts with dbt, executive dashboards in QuickSight, and cross-functional analyses to inform strategy, product, and operations.

Lead development and monitoring of debit-card fraud strategies, tools, and controls. Analyze data, build fraud rules, partner with vendors and product teams, report losses and trends, and drive reductions in fraud through data-driven solutions and compliance with risk policies.

Lead data management and analytics initiatives for Private Banking: define data strategy, ensure data quality, integrate PB and Wealth data, enable dashboards and predictive models, mentor junior staff, and collaborate with AI and engineering teams to deliver personalized client insights.

The People Analytics Analyst will analyze HR data to provide insights, support talent decisions, and improve organizational effectiveness across various business areas.

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

The Principal Data Analytics & Intelligence Specialist leads data management projects, develops strategies, ensures data quality, and collaborates with teams to derive insights for Private Banking.

Lead HR Analytics, utilizing data to drive decision-making and workforce planning. Oversee team, partner across departments, and innovate with AI.

The Fraud Risk Analytics Manager develops strategies to mitigate fraud risk, evaluates new tools, analyzes data, and implements fraud prevention controls in collaboration with teams and vendors.

The People Analytics Partner consults with business leaders, uses analytics to improve workforce strategies, and ensures data quality in people metrics.

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.

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.

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

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.

The Business Data Analyst will design and maintain analytical tools and metrics, translate business needs into data-driven insights, and enable strategic decision making through effective data visualization and storytelling.

The Circana Scholars Program provides experiential learning in market research and analytics, offering scholarships, training, and mentorship for students.

Lead the development of a global attribution strategy, manage data product requirements, and facilitate cross-functional collaboration to enhance measurement practices.

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.

The Lead Data Analyst will utilize deep data insights to drive strategic initiatives within the Customer Success team, focusing on metrics, trends analysis, and cross-functional collaboration to enhance customer experience and operational efficiency.

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.