Top Remote Data & Analytics Jobs

The analyst will develop data pipelines, design automated reporting solutions, conduct data analysis, and maintain data quality to support business decision-making.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

As a People Team Data Analyst, you'll analyze hiring data to influence recruitment strategies and improve hiring processes, ensuring high data quality and effective communication of insights.

The Staff Ecosystem Analyst will lead strategic data initiatives, synthesize insights, collaborate with various teams, and innovate using AI to influence business decisions and strategies within Block's ecosystem.

The Cloud FinOps Senior Analyst is responsible for optimizing cloud costs through analysis, collaboration with engineering and finance teams, and development of financial models, dashboards, and reports, leveraging AI for insights and automation.

Administer global equity plans, ensuring compliance, processing equity transactions, maintaining records, and collaborating with various departments for successful audits and reporting.

Lead analytics efforts to develop and execute data strategies, identify trends, collaborate with stakeholders to build data-driven solutions, manage multiple engagements, communicate findings to influence decisions, and recommend analytics tools and approaches to improve operations and growth.

The Analyst will develop data pipelines, create automated reporting solutions, analyze data for business opportunities, and maintain data quality.

Design and execute data-driven fraud prevention strategies for the credit card portfolio using Python, SQL, AWS, Tableau, and statistical/machine learning models. Perform investigations, run A/B tests, develop decisioning rules, monitor trends, and report actionable insights while collaborating cross-functionally to mitigate fraud risk.

Lead analytical work to identify business opportunities, build and test models for product, pricing, marketing, and credit risk. Partner with IT, sales, operations and finance to implement solutions, monitor performance, and drive strategic, data-driven decisions to improve profitability and customer experiences.

Lead client engagements delivering advanced reporting, analytics, and large-scale historical data migrations into Unanet ERP AE. Design and validate complex SQL, SSRS, and Power BI solutions, mentor junior consultants, use AI-assisted tools for analysis and QA, and manage multiple projects to ensure accurate reconciliation and client outcomes.