Top Hybrid Data & Analytics Jobs

Design and build data pipelines and tested, reusable datasets; ensure data quality and profiling; perform transformations adhering to data rules; follow CI/CD and testing best practices; collaborate with Data Architecture; document solutions; apply PII and risk-policy best practices to enable trusted business intelligence and KPI reporting.

The Principal Data Engineer will lead complex data projects, design robust data pipelines, and drive architectural strategy for a scalable data ecosystem, while mentoring other engineers and ensuring the quality and usability of data solutions.

Prepare, clean, and reconcile high-volume financial and property datasets into master Excel workbooks. Build and maintain advanced Excel models and VBA macros to automate processes, generate regular portfolio performance reports, identify data variances, and recommend strategic improvements. Collaborate with operations and finance and ensure absolute data accuracy under tight, seasonal deadlines.

The Surveillance Analyst will conduct real-time and pattern-based analysis of option markets to identify possible violations of Cboe and SEC rules, collaborate with teams, and maintain regulatory compliance.

Design, build, and maintain scalable data ingestion and egress pipelines using Airflow and dbt Cloud. Write Python for Airflow DAGs and utilities, model and transform healthcare datasets into analytics-ready formats with SQL and dbt, implement tests and monitoring, and collaborate with cross-functional teams to support data science and reporting needs.

Conduct market and competitor research, monitor industry trends, compile biographical and strategic profiles, and produce partner-ready reports and briefings using legal research platforms to surface business opportunities and support pitches for attorneys and firm leadership.

Build and own marketing data and attribution systems: implement tracking (GTM, pixels, conversion APIs), integrate CRM/warehouse with ad platforms, sync audiences, validate dashboards, debug data discrepancies, and operationalize experiments to ensure measurable, attributable marketing and lifecycle metrics.

As a Data Engineer at Promise, you'll design data architectures, automate workflows, enforce data quality, and support analytics, enabling data-driven decisions.

As a Staff Data Scientist, you will lead analytical projects to influence product decisions using statistical methods, AI tools, and predictive models to drive growth and improve customer value.

The Quantitative Analyst develops and maintains models for risk management, financial performance, and compliance, collaborating across teams to provide analytical insights for decision-making.