Top Data & Analytics Jobs

Monitors trade reporting integrity and real-time data dissemination issues for regulatory compliance. Analyzes trade data and market events, develops KPIs and data collection methods, and delivers executive-level reporting and recommendations. Coordinates internal teams, external firms, and regulators during emergencies and industry initiatives. Provides subject matter expertise on securities market structure, SEC requirements, and FINRA regulations while supporting trading systems during extended hours and mentoring junior colleagues.

Leads actuarial pricing for Bond and Specialty Insurance’s Professional Liability business. Performs rate adequacy analysis, rate reviews, filings, and profitability assessments; develops analytic solutions and strategic recommendations; partners with underwriting, product management, business intelligence, IT, regulatory, and reserving teams. Manages strategic initiatives, communicates findings to technical and nontechnical stakeholders, and may supervise, mentor, and develop analysts or interns.

Designs and maintains scalable infrastructure for ingesting, processing, storing, and serving large volumes of legal and financial document data. Responsibilities include building data pipelines and backend services, improving databases and schemas, implementing governance and GDPR compliance, supporting machine learning workloads, leading technical initiatives, and mentoring engineers.

Leads analytics-driven business strategy for originations, credit performance, profitability, pricing, fraud mitigation, and risk management. Advises senior leadership, interprets predictive models, oversees reporting and performance analytics, and drives cross-functional strategy implementation. Manages and develops analytics teams while ensuring regulatory and risk-management compliance.

Analyzes market pricing, historical trends, costs, bids, profitability, and contract rate terms. Maintains pricing databases, researches discrepancies, manages proposal updates, and produces recurring and ad hoc reports for high-profile accounts. The role also performs complex Excel queries and formulas, KPI reporting, exception troubleshooting, and trend analysis while supporting executives and strategic initiatives.

Provides leadership for digital scholarship, data-intensive research, and quantitative-focused library liaison services. Supports data discovery, curation, preservation, metadata, data literacy, privacy, and ethical data use. Oversees electronic thesis submissions, develops workflows and research guides, supports digital collections and scholarly communication initiatives, teaches information literacy, advises on responsible AI, and manages research collections. Collaborates with faculty, students, library staff, and campus data teams across disciplines.

Owns the health of a multi-client digital tracking ecosystem across 100+ properties. Responsibilities include managing Piwik PRO and Google Tag Manager configurations, deploying pixels and telemetry updates, monitoring and debugging conversion events, validating implementations with browser tools and APIs, supporting technical client onboarding, managing consent and UTM governance, documenting configurations, and coordinating technical escalations. The role also explains tracking behavior to nontechnical teams and improves automation and monitoring processes.

Design, develop, and operate large-scale data ingestion, transformation, enrichment, and processing pipelines across cloud, hybrid, and on-premises environments. Build distributed services using Java, Python, and Kafka; optimize data models and platform performance; deploy applications on Kubernetes; support infrastructure automation and CI/CD; troubleshoot production systems; and collaborate with customers and solution architects on implementations.

Supports data collection, analysis, reporting, and dashboard development to generate business insights and monitor performance. The intern researches topics, summarizes findings accurately, collaborates with others, follows department procedures, and learns reporting, visualization, analytical methodologies, company operations, and computer systems. Candidates must be enrolled in an undergraduate mathematics, actuarial science, or related degree program and demonstrate strong academic performance, communication, analytical, mathematical, problem-solving, teamwork, and independent-work skills.

Provides analytical support for Corporate Facilities using CMMS data. Creates SQL queries, BIRT reports, Maximo interface updates, predictive maintenance models, failure-pattern analyses, utility consumption baselines, and ROI measurements. Partners with end users to improve systems, develops training materials, and documents process changes. Travel is required.