Top Remote Data & Analytics Jobs in St. Louis, MO

The Lead FinOps Analyst will manage private cloud infrastructure economics, focusing on reducing costs and reclaiming data storage capacity through modeling and governance initiatives.

The Senior FinOps Analyst will manage AWS costs, implementing savings strategies and improving cost transparency while collaborating with engineering teams.

The Principal Business Analyst will lead initiatives to optimize underwriting and acquisition strategies, leveraging data analysis and collaborating with cross-functional teams to improve profitability and credit risk.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.

The role involves supporting analytical operations, maintaining product data in LIMS, applying statistical techniques, and building monitoring tools to aid decision-making.

As a Data Analytics Lead, you'll define KPIs, build data models, and develop actionable reports to support scalable analytics in a fast-growing healthtech company.

The role involves maximizing profitability through revenue optimization, forecasting, analysis, and collaboration with cross-functional teams, focusing on pricing and seat inventory management.

The Analyst, Denials Management supports revenue integrity by analyzing client reimbursements, managing denials, forecasting payments, and collaborating with invoicing teams.

As a Data Analyst, you will support analytics and provide insights into advertising, fundraising, and organizing strategies, managing data requests, and visualizations.

As a Business Intelligence Manager, you will lead data-driven decision-making through analytics, reporting, and data management to improve customer experience operations.

The IT HR and Incentive Compensation Business Analyst collaborates with stakeholders to define requirements, support software testing, and provide production support in an Agile environment, utilizing strong analytical skills.