Top Data & Analytics Jobs

Conduct research and analytics for finance and travel audiences using first-party, syndicated, quantitative, and qualitative data. Develop insights and compelling data stories for advertising partnerships, RFPs, and campaigns. Advise Marketing, Editorial, and Sales teams on audience growth and brand initiatives, design consumer research studies, synthesize large datasets, and present findings to technical and non-technical audiences.

Build and operate Numeric’s financial data infrastructure, including ingestion pipelines, typed data contracts, lakehouse schemas, batch and event-driven processing, security controls, observability, and scalable reporting. Work across TypeScript, SQL, and Python while collaborating with accounting, reporting, and AI teams to deliver reliable, auditable, multi-tenant financial data systems.

Build data infrastructure and reliable datasets using Python and SQL across multiple databases. Partner with engineering to instrument product surfaces, improve event and usage data, and translate ambiguous business needs into measurable problems across growth, GTM, pricing, finance, deals, and product. Scale data infrastructure, parse engineering and AI logs, optimize database performance, and deliver insights for company leadership.

Supports consumer insights, market sizing, segmentation, sales trend analysis, competitive research, and ad hoc analytics projects. The intern analyzes customer, survey, interview, and sales data; develops reports and presentations; and translates findings into recommendations for marketing, strategy, distribution, and product teams. This is a 10-week paid, primarily onsite internship for an undergraduate student.

Conduct prospect identification, donor research, portfolio reviews, and moves management to support fundraising goals. Create prospect lists, donor profiles, philanthropic trend reports, and data-driven insights. Maintain accurate Salesforce records, coordinate demographic and predictive data enrichment, audit prospect information, monitor philanthropy trends, and manage research vendors and budgets. Requires collaboration with fundraisers, strong analytical and communication skills, and occasional evening or weekend event work.

Supports the firm’s information governance program by managing electronic legal records and data throughout their lifecycle. Coordinates matter mobility, file transfers, retention, disposition, remediation, migration, audits, and compliance activities. Advises lawyers and staff on data storage, privacy, security, and records-management practices. Analyzes complex datasets, improves document-management-system adoption, leads projects, coordinates stakeholders, and recommends enhancements to global information governance processes.

Analyzes operational, quality, productivity, recovery, and financial data to identify trends, risks, root causes, and improvement opportunities. Supports strategic initiatives through project planning, milestone tracking, reporting, and documentation. Contributes to Lean Six Sigma efforts, process mapping, governance, standardization, workflow analysis, and automation initiatives while translating findings into actionable business recommendations.

Lead the design, development, scaling, and operation of enterprise data platforms, services, and pipelines. Own mission-critical systems, deliver complex multi-team projects, build analytics solutions, and improve data delivery processes. Partner with architects, engineers, analysts, data scientists, and business stakeholders to create reliable, observable, secure, and governed platforms. Provide technical leadership, evaluate technologies, establish engineering best practices, mentor engineers, and guide technical decisions across teams.

Designs, builds, and operates a scalable, multi-tenant data platform supporting analytics, reporting, and integrations. Responsibilities include developing data pipelines and CDC workflows, designing PostgreSQL schemas, maintaining dashboard data layers, provisioning customer data environments, applying infrastructure as code, monitoring data quality and performance, and resolving operational issues. The role partners with product, engineering, database administration, and infrastructure teams while documenting architecture and evaluating platform improvements.

Designs and develops enterprise data engineering solutions, pipelines, integrations, and resilient software platforms. Leads architecture, technology strategy, DevOps, incident resolution, vendor evaluation, engineering standards, and cross-team collaboration. Provides technical leadership and mentorship while working with big data, cloud, streaming, data warehousing, CI/CD, infrastructure as code, and modern data stack technologies.