Top Hybrid Data & Analytics Jobs

Leads growth and business analytics across acquisition, funnel performance, retention, churn, pricing, and customer lifetime value. Builds forecasts, dashboards, reporting frameworks, and analytical processes; identifies growth opportunities and performance gaps; supports planning and budgeting; and translates complex data into strategic recommendations. Partners with Growth, Marketing, Finance, Product, and external stakeholders while managing and mentoring an analytics team.

Designs and maintains data warehouse architecture, APIs, ETL pipelines, database objects, and data extracts from sources such as NetSuite, IRI, and point-of-sale systems. Develops Power BI dashboards and supports analysts with reporting. Ensures data quality, security, governance, and performance while researching large datasets and delivering AI-enabled analytics. Collaborates with business stakeholders and manages third-party analytics resources.

Conduct test-versus-control analyses for in-store media campaigns, query point-of-sale data with SQL, and identify campaign performance drivers. Build reports and dashboards in support of sales and client-facing teams, translate quantitative findings into actionable recommendations, and collaborate on data integration and process improvements. The role requires strong communication, organization, and analytical skills, with retail, CPG, merchandising, promotional, or marketing analytics experience preferred.

Build Hyperbolic Labs’ data infrastructure from the ground up, owning the data warehouse, ingestion pipelines, data modeling, reliability, governance, monitoring, troubleshooting, and performance tuning. Partner with engineering and analytics teams to support growing products, data sources, BI, and reporting. The role requires deep PostgreSQL expertise, large-scale data experience, and independent ownership of production data systems.

Lead Product Analytics strategy, team development, reporting, experimentation, data quality, and analytics platforms. Build an AI-native operating system that automates analytics workflows while maintaining governance and rigor. Own Amplitude instrumentation, KPI definitions, data models, pipelines, and product measurement. Partner with product and business leaders to guide decisions through diagnostic analysis, causal inference, launch measurement, and trusted reporting across crypto and trading products.

Maintains and analyzes customer, item, and coding data using Oracle systems. Organizes, validates, and prepares electronic data updates; investigates data issues, develops corrective solutions, assesses business impacts, and processes reports. Collaborates cross-functionally to support customer master and national coding initiatives, project planning, and execution while ensuring data integrity and customer-focused outcomes.

Analyzes and maintains customer, item, and configuration master data using Oracle and Microsoft tools. Organizes and validates files for electronic updates, investigates data and process issues, evaluates business impacts, prepares reports, and supports cross-functional projects. Collaborates with business teams to ensure data integrity, accurate national coding, efficient processes, and customer-focused solutions.

Develop and maintain database systems supporting marketing campaigns, including production scripts, tables, stored procedures, views, functions, ETL feeds, data warehouse metadata, automated reporting, and quality-control processes. Prepare campaign universes, selections, suppressions, and creative assignments. Perform code and data audits, troubleshoot production processes, document workflows, and identify process improvements while translating business requirements into executable technical solutions.

Build and maintain dbt data models and BigQuery analyses supporting supply, marketplace, and partner success operations. Investigate data anomalies, create dashboards and reporting, improve fill-rate and fulfillment performance, maintain reliable data infrastructure, and eventually develop predictive models. Collaborate with Supply, Marketplace, Partner Success, Product, and Engineering teams to translate business needs into scalable data solutions.

Designs and governs enterprise MicroStrategy business intelligence architecture, including semantic layers, dashboards, reports, metrics, security, caching, and scheduling. Integrates MicroStrategy with Amazon Redshift and other data platforms, optimizes SQL and platform performance, and establishes architecture, governance, documentation, and administration standards. Collaborates with data, cloud, application, product, and business teams to deliver scalable analytics solutions and leads BI modernization efforts.