Top Hybrid Data & Analytics Jobs

Own front-end tracking, reporting, dashboards, and analytics for marketing websites and growth funnels. Analyze performance, conduct ad hoc investigations, and deliver actionable recommendations to digital and web marketing stakeholders. Lead A/B testing and experimentation, interpret statistical results, support tracking and dashboard documentation, and collaborate with developers and analytics teammates. Translate business questions into technical requirements while helping marketing teams improve leads, pipeline, revenue, and ROI.

Administer and optimize P21/SQL databases, design logical and physical data models, manage SSRS reports and SSIS packages, ensure security, backups, and recovery, tune performance, collaborate with cross-functional teams and vendors, and document database procedures and policies.

Analyzes customer and business requirements, data, test results, and program outputs to implement accurate batch data fulfillment solutions. Serves as a liaison between business, technical, and operational teams; configures systems, executes test plans, troubleshoots processing issues, maintains documentation, and ensures compliance with legal and operational standards. The role also supports process improvements, cost reduction, quality initiatives, and timely program delivery using proprietary systems.

Lead the architecture and development of scalable AWS-based data ingestion, transformation, and orchestration pipelines. Build reliable data infrastructure using Python, SQL, Airflow, Lambda, ECS, SQS, and Terraform. Establish data modeling, quality, lineage, monitoring, testing, and observability practices while partnering with analysts, scientists, and backend engineers. Mentor senior engineers, guide technical decisions, and provide hands-on leadership for complex data platform initiatives.

The Senior Associate in Analytics & Business Insights analyzes complex datasets to extract insights, informs commercial strategies, and collaborates with sales teams to translate data into actionable recommendations.

Define and lead enterprise data governance: create standards, operating model, and AI-ready data practices. Partner with data product managers, platform engineering, security, legal and privacy to enable self-service, metadata, lineage, quality, access controls, and compliance while building governance councils and driving adoption.

Lead analytics for lead intelligence and revenue optimization: develop forecasting, modeling, and simulation to prioritize lead inventory, recommend allocation rules, build KPIs, and partner cross-functionally to implement rules and drive revenue outcomes.

The Sr. Analyst configures the o9 Planning System to optimize retail planning solutions, collaborating with stakeholders to implement and support planning processes.

As a Senior Data Scientist in Product Analytics, you will analyze data to guide product decisions, support product managers, and improve financial stability for users.

Provide accurate valuations and risk assessments for single-family homes using internal tools and pricing model outputs. Incorporate local market knowledge, collaborate with sales, homes, data science and engineering to improve pricing operations and ensure competitive, consistent offers.