Top Hybrid Data & Analytics Jobs

Build and maintain BI solutions: design ETL and pipelines, create dashboards and reports, automate large-scale data transfers, ensure data quality, and deliver actionable analyses to marketing stakeholders and senior leadership.

Develop and maintain data contracts, metadata standards, AI-readiness scoring pipelines, and governance/compliance tooling. Build quality monitoring, semantic layer assets, and AI-augmented development workflows. Collaborate with data owners and platform teams to onboard assets, ensure data trust, and enable AI-driven analytics.

Design, build, and maintain scalable data platforms, pipelines, and Data Lakes. Implement orchestration, data integration, modeling, and database optimization. Ensure data security and governance, troubleshoot production issues, lead architecture decisions, deliver full SDLC, collaborate with product and analytics teams, and mentor engineers.

Lead and mentor a data engineering team to design, build, test, and support cloud-based data solutions. Develop distributed, real-time and batch data pipelines using Java/Scala/Python, NoSQL and RDBMS, and cloud data warehousing (Redshift/Snowflake). Collaborate with product managers and Agile teams to deliver performant, production-ready systems.

Lead Data Engineer designs, develops, tests, implements, and supports cloud-based data solutions. Collaborates with agile teams, mentors engineers, builds streaming and batch pipelines using big-data and cloud technologies, and ensures performant, well-tested code.

As a Senior Business Analyst, you'll analyze business challenges, perform modeling for product strategies, support marketing efforts, and collaborate with various teams to improve quality and profitability.

Lead Commercial Loan Servicing Specialist leads data analytics and project management for wholesale loan servicing. Collaborates with Business, Risk, Technology, and Operations to design and execute analytics projects, develop dashboards and KPIs, ensure data governance and compliance, resolve escalations, and drive process improvements to support strategic decisions.

Support pricing manager and merchants to develop and execute end-to-end pricing strategies across base, promotions, markdowns, Pro pricing, and credit. Use advanced analytics, AI-driven tools, and financial modeling to deliver actionable insights, optimize lifecycle pricing, monitor KPIs, and drive margin and sales growth while partnering cross-functionally to automate and streamline pricing processes.

Lead analytical efforts across product domains, manage a team of analysts, develop tools for analytics at scale, and influence product strategy through insights.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

This role involves executing and delivering analytical reports, linking data for marketing optimization, and communicating analysis results to clients.

Fora seeks a Senior Analytics Engineer to enhance data modeling and delivery, ensuring access to reliable insights across teams. Responsibilities include managing the analytics layer, improving data performance, and mentoring while collaborating with stakeholders on analytics needs.

As a Lead Data Engineer, you will design scalable data platforms, optimizing pipelines, defining data models, and guiding data integration while collaborating with cross-functional stakeholders to align strategies with business goals.