Top Hybrid Data & Analytics Jobs

The Principal Data Engineer will lead code development and manage data engineering solutions utilizing Python and SQL. Responsibilities include developing scalable applications on cloud platforms (AWS/GCP), maintaining databases, implementing search technologies, ensuring adherence to security practices, and training users while collaborating closely with cross-functional teams.

As an Analyst at GLS, you will utilize critical thinking and analytical skills to inform business decisions, focusing on areas such as credit risk and pricing. Responsibilities include analyzing data to optimize profit, understand market impacts, and derive insights for dealer partnerships.

As a Lead Data Scientist, you'll oversee project execution, collaborate with teams, and design complex machine learning models. You will ensure the delivery of scalable data science solutions and mentor the team while aligning initiatives with business goals.

In this role, you will develop and execute an analytics strategy for the consumer business, collaborate with stakeholders on analytics projects, leverage AI for data modeling, and build robust data visualization capabilities using tools like Looker. You will be responsible for turning complex data sets into actionable insights, championing a data-centric culture, and ensuring data accuracy.

As a Revenue Analyst, you will manage royalty transactions, prepare journal entries, and collaborate with teams to close books effectively. The role focuses on analyzing partnership agreements and revenue sharing arrangements while ensuring compliance with revenue recognition standards.

As a Revenue Operations Analyst at Matillion, you will analyze business performance trends, create and maintain dashboards for KPIs, ensure data accuracy, improve processes for tracking metrics, and collaborate with teams to deliver strategic insights for Go-to-Market functions.

The Trust and Assurance Analyst is responsible for the compliance team's programmatic functions, including managing due diligence requests, supporting workflow systems, evaluating vendor risks, maintaining accurate records, and providing training on KYC policies. The role requires a detail-oriented and organized individual capable of delivering high-quality service to the business.