Top Hybrid Data & Analytics Jobs

The Data Analyst will reconcile financial data, normalize customer data, support cross-functional teams with data insights, and enhance data architecture and pipelines.

Lead the fraud data science team, developing machine learning models for fraud detection, conducting deep analyses, and collaborating with stakeholders to enhance the platform’s security.

The Data Analyst will support various stakeholders by providing data insights, creating metrics and visualizations, and ensuring data quality for informed decision-making.

Manage video-language data projects, collaborate with external partners, ensure data quality, and work cross-functionally with teams to advance data operations.

The Director leads the Social Intelligence Analytics team, advising clients, managing projects, and utilizing AI to derive insights from social media data.

The Quantitative Researcher for Monetization will develop strategies for market opportunities, optimize performance using data, and apply machine learning in financial energy systems.

The Senior Data Engineer will build and manage data pipelines, optimize data structures, automate workflows, and collaborate with teams to ensure data reliability.

The Billing Analyst ensures accurate monthly billing, manages billing software systems, analyzes data, and provides support to members regarding billing issues.

As Head of Data at Kikoff, you will lead data strategy and execution, manage a growing team, and drive business impact through data science initiatives. You'll partner with senior leadership, oversee ML model lifecycles, and ensure data quality and governance standards while translating complex business problems into actionable data science workflows.

The Senior Analyst will analyze operational and member data to inform business strategies, create presentations, and collaborate with cross-functional teams to improve member experiences.