Top Hybrid Data & Analytics Jobs

The Data Engineer will build and maintain scalable data pipelines, process large datasets, and coordinate data handling with privacy compliance, mainly using Azure and various data technologies.

The Fraud & Risk Lead will manage end-to-end fraud operations for a global credit card program, focusing on monitoring, analysis, and mitigation of fraud risks. Responsibilities include building fraud detection systems, running investigations, and improving operational processes.

As a Quantitative Researcher, apply economic and statistical models to large-scale data, collaborating to solve quantitative challenges across industries.

Lead and build the analytics function across GTM, revenue, and product. Own end-to-end reporting, multi-touch attribution and MMM, product instrumentation, BI infrastructure, and translate data into executive recommendations to drive growth.

The Media Analytics Manager is responsible for developing data workflows, overseeing reporting processes, collaborating with teams for media optimization, and mentoring analysts.

Lead data strategy and delivery for large-scale client transformations. Design modern data architectures, oversee analytics and ML initiatives, support sales as SME, grow client relationships, manage teams and resource strategies, and foster a collaborative culture focused on quality and business outcomes.

Design and evaluate marketplace algorithms for matching, pricing, and forecasting. Build price-estimation and demand/supply models, clean and analyze operational data, run simulations and counterfactuals, and collaborate with engineering to deploy model-driven systems that scale.

Build and automate zero-config ingestion pipelines for major marketing and CRM platforms, transform third-party JSON into analytical schemas, map event data into unified identity/event streams, and integrate Martech data into the core ClickHouse/ML environment.

The AVP, CRM Administrator will manage Salesforce for investor relationship systems, optimize data integrity, and enhance fundraising and reporting tools.

Gather business requirements, recommend solutions, document them, manage projects, and perform quality assurance for application development and integrations.