Top Data & Analytics Jobs

Leads analytics and data engineering for Sales and Revenue Operations. Builds reporting in Looker and Snowflake, manages CRM data flows into cloud warehouses, establishes transformation and modeling layers, and develops forecasts, scoring, churn, and expansion models. Supports territory, quota, pricing, and revenue-truth initiatives while presenting insights to finance and company leadership.

Analyze product, user, transactional, and repayment data to develop risk and underwriting models, reduce losses and fraud, monitor model performance, and guide product and growth strategy. Build Looker dashboards and LookML models, conduct segmentation and experimentation, measure CAC and LTV, and communicate actionable insights to product, engineering, marketing, finance, and leadership.

Designs, builds, validates, and maintains governed analytical data models, curated datasets, and reporting layers. Translates business requirements into data mappings, transformation logic, and reusable BI datasets. Develops SQL and dbt tests, performs data reconciliation and root-cause analysis, optimizes Snowflake models, and supports dashboards, reports, UAT, and regulatory extracts. Collaborates with stakeholders, data engineers, architects, analysts, and business teams across insurance and corporate functions.

Leads qualitative and quantitative market research programs from proposal through presentation, combining survey design, statistical analysis, qualitative synthesis, AI-enabled analytics, and dashboard development. Manages client relationships, identifies business opportunities, presents strategic insights, and supports account growth. Collaborates with public relations, marketing, creative, and strategy teams while overseeing research staff and projects.

Build and operate scalable data pipelines and platforms that transform LiDAR, imagery, and GPS sensor data into reliable geospatial deliverables. Responsibilities include automating ingestion, AI processing, quality checks, monitoring, workflows, and data access; partnering with Data Operations and GIS teams; and improving AWS processing performance and cost. The role requires end-to-end ownership, including system design, operation, and on-call support.

Analyze adoption, usage, colleague experience, sentiment, and business impact data to support firm-wide transformation initiatives. Build and maintain Power BI dashboards, automated reports, and performance monitoring solutions. Conduct deep-dive analyses, optimize reporting processes, and translate complex data into executive-ready insights and recommendations. Collaborate with global stakeholders across functions and organizational levels to measure program outcomes and identify improvement opportunities.

Leads and scales Scribd’s Analytics Engineering organization, building high-performing teams and governed data foundations for AI-driven decision-making. Oversees canonical data models, semantic layers, quality, observability, documentation, security, lineage, and platform standards. Partners with engineering and business leaders to guide architecture, prioritize investments, and deliver reliable data products with measurable impact. Requires strong technical judgment, advanced SQL, modern data stack experience, cross-functional leadership, and 10+ years of relevant experience.

Designs and manages advanced analytics models and reporting tools for supply chain, inventory, fulfillment center labor, and operational performance. Builds predictive analytics to forecast key metrics, automates reporting, provides data-driven decision support, collaborates with cross-functional teams, and mentors entry-level analysts.

Owns the architecture and technical direction of Coalition’s enterprise data platform. Builds scalable Snowflake and dbt infrastructure, governed data models, batch and streaming pipelines, data products, semantic layers, observability, security controls, and AI/ML data foundations. Partners across engineering, product, underwriting, actuarial, security, and business teams while mentoring engineers and establishing technical standards.

Build and operate scalable data pipelines and platforms that transform LiDAR, imagery, and GPS sensor data into reliable geospatial deliverables. Responsibilities include data ingestion, AI processing, quality monitoring, workflow automation, and AWS cost and performance optimization. The role partners with Data Operations, GIS, product, AI, and analytics teams and requires end-to-end ownership, including on-call support.