Top Hybrid Data & Analytics Jobs

The Growth & Digital Strategy Manager is responsible for developing and optimizing digital marketing strategies across multiple channels, driving lead generation, improving website performance, and leveraging analytics to enhance business growth.

The intern will analyze historical data, build AI/ML forecasting models, develop automated tools for demand management, and create inventory dashboards.

The Senior SAP Datasphere Engineer designs data pipelines, creates analytical models, optimizes data processes, and automates workflows in SAP environments while collaborating with business stakeholders and mentoring junior engineers.

The Staff Analytics Engineer develops data pipelines and models, supports business analytics needs, and collaborates with stakeholders to improve data reporting and integration for Corporate teams.

The Senior Marketing Data Analyst will analyze data to inform strategic decisions, create dashboards, develop audience segments, and optimize CRM marketing efforts.

Plan and oversee the audit process, train junior auditors, perform risk assessments, and ensure compliance and efficiency in audits.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

As a Senior Analytics Engineer, you will build and maintain data products, create ELT pipelines, and influence the analytical roadmap while mentoring engineers.

The Director of Marketing Analytics will lead the marketing analytics function, turning data into insights to optimize marketing performance and drive growth. Responsibilities include building a team, developing measurement strategies, and collaborating with various departments to enhance marketing ROI across channels.

As a Business Analyst, you will diagnose and resolve technical issues, enhance data and operational processes, contribute to reporting systems, and share knowledge within the data team.