Top Remote Analytics Jobs in Birmingham, AL

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

Responsible for analytical data needs, guiding complex data projects, and providing insights for decision-making in workforce and talent operations.

As Commercial Analytics Manager, you'll analyze performance data to develop strategic insights, drive growth, own sales forecasting, and enhance compensation plans in partnership with Finance.

The Business Analytics Manager will analyze complex data sets, create reports and data models, and provide insights to drive sales for Collision Franchise Brands.

As a Data Scientist in Customer Analytics, you will analyze customer data, measure Cresta's impact through experiments, and build dashboards for insights. You'll collaborate with cross-functional teams and support strategic customer initiatives.

The Lead Analytics Consultant will guide a team, define analytical strategies, optimize data processes, and collaborate with stakeholders to drive data-driven decision-making.

This entry-level Data Engineer role involves translating business questions into data insights using semantic analytics and AI-driven workflows, transitioning from customer-facing responsibilities to backend system optimization.

As a Payment Analytics Engineer, you will ensure data consistency in payments, automate reporting, analyze interchange data, and collaborate with Engineering for data management.

Lead a team of Product Analysts to drive analytics initiatives, managing project execution, stakeholder engagement, and team development while promoting analytics best practices and data governance.

The Product Analytics Developer will build scalable data pipelines, manage data models, ensure data quality, and provide analytical insights to support the Product team.

Lead a team of analysts and data scientists to provide insights for business decisions, enhance customer experiences, and drive growth at Zillow.

The role involves executing advanced analytics, applying statistical techniques, designing reporting capabilities, and translating business needs into analytical solutions while ensuring data integrity and communicating insights effectively.

The Sr. Finance Analytics Manager will manage financial data and analytics to inform forecasting and reporting, partnering with various departments to enhance accuracy and efficiency across financial metrics.

Lead analytics for OnePay's Lending product, working cross-functionally to develop data-driven strategies, foster growth, and manage a team of analysts.

The Fraud Analytics Lead will design and implement strategies to mitigate fraud risks, leveraging advanced analytics and collaborating with cross-functional partners.

The Risk Portfolio Analytics Manager leads risk reporting and analytics, ensuring a data-driven view of risk exposure and portfolio performance. Responsibilities include producing reports for governance bodies, monitoring performance, enhancing fraud analytics, and improving reporting frameworks.

Lead and innovate data strategy, utilizing analytics for product development and client engagement, while managing regulatory compliance.

Manage headcount tracking and reporting for two global organizations, ensuring data accuracy, delivering insights, and collaborating with business leaders on analytical projects.

The Global Analytics Senior Manager will lead statistical modeling and deliver analytic insights for consumer goods and retail clients, managing teams and engaging at senior levels.

The Global Analytics Analyst will work on custom modeling, creating statistical models, and deriving actionable insights from data analysis in CPG and retail sectors.

The Strategic Analytics Manager will lead analytical efforts, drive performance monitoring, optimize SQL queries, and translate data insights for strategic decision-making in a growing law firm.

The BI Analyst Manager will lead a team to deliver customer-facing analytics solutions, ensuring high-quality data insights for self-storage operators.

The Product SME specializes in enhancing revenue cycle performance through data analysis, automation, and denial prevention strategies, collaborating with stakeholders to design and implement best practices.

Design and build analytics data models, collaborate with stakeholders, optimize performance, mentor team members, and improve data infrastructure.

Lead a team of data analysts to improve product performance insights, establish experimentation practices, and enable self-service insights for the company.