Top Data & Analytics Jobs

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.

Administer and optimize Oracle application databases while developing data models, warehouses, ETL pipelines, and analytics solutions across Oracle and Snowflake. Build scalable Python and SQL workflows, support Oracle Analytics Server, manage MongoDB use cases, automate monitoring, and implement CI/CD. Ensure data quality, governance, security, high availability, disaster recovery, and performance across enterprise data platforms.

Designs and maintains reliable data pipelines and processing systems for high-volume telecommunications and digital evidence data. Builds data infrastructure supporting AI models and analytics, develops schemas and data models, optimizes performance and scalability, and monitors data quality. Collaborates with AI, data science, and software engineering teams, documents architecture, and follows secure practices for sensitive law enforcement data.

Owns the marketing data and analytics ecosystem, building SQL-backed datasets, Tableau dashboards, KPI reporting, attribution analysis, and experiment measurement. The role monitors data quality, troubleshoots tracking across marketing platforms, analyzes channel and funnel performance, and delivers actionable insights to Marketing, Sales, agencies, and leadership. It also supports budget allocation, lead quality, conversion analysis, and marketing testing.

Own university data integrations from source discovery through validated, signed-off feeds. Build SQL queries and scheduled extracts, model data, support partner upgrades and migrations, translate institutional policies into accurate data feeds, and improve monitoring, documentation, and reusable integration patterns. Collaborate with registrars and database administrators while supporting a named set of university partners. The role requires deep experience with student information systems, including PeopleSoft, and occasional travel for partner onsite engagements.

Leads catastrophe management and modeling, portfolio monitoring, event impact reporting, underwriting and reinsurance analytics, CAT referral processes, and analytical framework enhancements. Partners with underwriting, risk, actuarial, claims, reinsurance, brokers, vendors, regulators, and rating agencies. Oversees catastrophe modeling tools, reporting improvements, reinsurance evaluations, staff training, and strategic risk management recommendations across property business units.