Top Data & Analytics Jobs

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.

Leads commercial analytics strategy and execution, including campaign performance analysis, client reporting, executive presentations, strategic initiatives, and business development support. Manages and coaches analysts, ensures analytical quality, translates complex data into actionable client narratives, and partners with Sales, Client Services, Product, Operations, and Data Engineering. Requires strong life sciences analytics experience, advanced Excel and presentation skills, SQL proficiency, visualization platform experience, and executive-level client communication.

Own the design, performance, reliability, security, and operational integrity of a high-volume PostgreSQL data platform on AWS. Responsibilities include schema architecture, zero-downtime migrations, query optimization, transaction correctness, backup and disaster recovery, observability, data security, legacy data migration, and platform modernization. The role partners with engineering and architecture teams, supports incident response and on-call operations, establishes data-tier standards, and mentors engineers.

Leads enterprise data governance for assigned domains, overseeing Key Data Elements, metadata, data quality, controls, risks, and remediation. Advises senior business, technology, risk, audit, and compliance stakeholders; evaluates governance adherence; escalates material issues; supports regulatory and audit discussions; develops standards and metrics; and mentors data stewards and analysts.

Leads Wiley Research’s commercial analytics strategy, including KPI frameworks, executive dashboards, competitive intelligence, performance measurement, data governance, and scenario modeling. Advises executive and board-level leaders, aligns Finance and commercial reporting, consolidates fragmented data practices, and builds a trusted analytics capability across global teams. The role also develops analytical talent, drives self-service reporting, and translates complex findings into strategic decisions concerning growth, retention, investment, and market performance.

Leads client measurement strategy, analytics audits, tracking implementations, QA, data modeling, attribution, CRO experimentation, privacy compliance, and migration analytics. Presents actionable findings to clients, partners across delivery teams, and helps grow the agency’s analytics practice through standardized processes, tooling, AI adoption, and sales support.

The job description does not provide responsibilities, qualifications, compensation, travel expectations, or technical requirements for the Marketing Science Analyst role.

Evaluates customer interactions across voice, chat, messaging, and digital channels using AI-assisted and manual methods. Administers AI quality evaluation and survey platforms, validates scoring and survey logic, analyzes Voice of the Customer trends, develops dashboards and executive reports, leads calibration sessions, supports PCI reviews and governance, and recommends coaching and continuous improvements. Partners with Operations, Product, Technology, vendors, and leadership to improve customer experience quality and reporting.