Top Hybrid Data & Analytics Jobs

The Director of Data Science will lead credit risk modeling, oversee predictive modeling strategies, mentor data scientists, and ensure compliance with fair lending guidelines.

The Data Engineer will build and optimize data pipelines and infrastructure, ensuring data quality for analytics and machine learning initiatives while collaborating with teams to develop data solutions.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.

The Research Engineer will research, test, and deploy trading strategies while designing research infrastructure and collaborating on innovative market ideas.

The Communications Analyst will conduct research and analysis to support client communications, manage projects, and contribute to strategic thinking while utilizing AI tools.

Design, develop, and maintain databases and scalable data pipelines. Build stored procedures, triggers, and ETL processes; perform testing, tuning, security, and data quality work. Collaborate with developers and stakeholders, document architecture, review code, and support reporting and integrations to enable restaurant and customer-facing systems.

Build, operate, and monitor ETL/ELT pipelines between marketing, sales, and operational systems into Databricks. Implement dimensional models, identity resolution, data quality checks, API integrations, and scheduled/event-driven syncs to support segmentation, attribution, and campaign activation. Maintain documentation, alerting, and runbooks.

Lead client analytics engagements end-to-end, manage delivery timelines and economics, mentor data teams, design KPIs and business cases, translate complex data into actionable insights, implement cloud data platforms, BI, ETL and scripting solutions, and run workshops and knowledge transfer for non-technical stakeholders.

Lead architecture, implementation, and optimization of scalable data platforms, ETL/ELT pipelines, and data governance. Ensure security and compliance, mentor junior engineers, drive CI/CD and IaC for data workflows, and collaborate with stakeholders to deliver actionable analytics and reporting.

Lead pricing strategy and promotional analysis for contact lenses. Build retention reporting and Looker dashboards, perform elasticity and margin modeling, analyze cross-sell behaviors, and partner with FP&A, Data Science, Merchandise Planning, and Marketing to forecast P&L impact and optimize customer lifetime value.