Top Data & Analytics Jobs

Designs and optimizes scalable data platforms, architectures, and production pipelines supporting AI and machine learning. Responsibilities include Databricks Lakehouse development, batch and real-time processing, data governance, security, monitoring, performance tuning, infrastructure planning, and collaboration with DevOps, MLOps, and cross-functional teams. The role serves as the AI team’s data engineering subject matter expert and ensures reliable, secure, cost-effective data solutions.

Owns the data and systems layer connecting Account Management and Carrier Procurement. Builds repeatable data pulls, pipelines, dashboards, automation, and trusted reporting across MercuryGate, DAT, Excel, and BI tools. Improves carrier tendering and pricing workflows, consolidates TMS and market data, supports development of a truckload rating engine, and partners with business leaders to deliver accurate, self-service data solutions.

Leads advanced econometric, microsimulation, forecasting, causal inference, and policy-impact modeling for NYC policies and investments. Develops reproducible R-based analytical workflows, validates models, analyzes complex datasets, and communicates findings to technical and nontechnical stakeholders. Oversees complex research projects, mentors staff, collaborates with agencies and external partners, and translates quantitative results into policy recommendations.

Build and improve analytical tools and AI-enabled automations for Strategic Finance and cross-functional teams. Analyze data using SQL, BigQuery, Hex, spreadsheets, and AI tools; prototype, test, validate, document, and iterate solutions. Translate business problems into analytical requirements, collaborate with Data & Tech, evaluate AI-generated outputs, and help transition successful prototypes into tools used across Planning, Merchandising, E-commerce, Operations, and Growth.

Conduct quality audits across support, sales, renewals, and underwriting teams; evaluate compliance and customer interactions; validate AI-generated quality assessments; refine scorecards and calibration processes; identify trends, risks, and process gaps; and recommend corrective actions. The role also supports testing Talkdesk and other quality technologies, documenting evaluation criteria, and determining where automation or human review is appropriate.

Leads database engineering and administration across Oracle, SQL Server, PostgreSQL, MySQL, and cloud environments. Architects infrastructure, installs and configures database software, maintains availability and performance, schedules deployments, develops security standards, and manages monitoring dashboards. Ensures compliance with Army and ALTESS security requirements, including DoD STIGs, Security Readiness Reviews, and POA&M documentation. The position requires an active DoD Secret clearance and is contingent on contract award and funding.

Supports R&D, packaging, processing, commercialization, and design reporting. Gathers and analyzes data to identify trends, develops dashboards and reporting solutions, trains end users, and provides business insights and process recommendations. Serves as a liaison between IT and the R&D team while improving reporting and decision-making effectiveness.

Lead the architecture and hands-on development of an AI-enabled data migration platform for legal software. Own extraction, transformation, orchestration, data quality, observability, and scalable go-live workflows. Partner with product management to define roadmap priorities, lead a focused engineering team, make architectural decisions, contribute code, and apply AI to migration assessment, mapping, validation, and automation.

Leads a team responsible for Oracle BI administration, architecture, development, data warehousing, and global ERP reporting. Provides strategic direction, manages BI implementations and projects, gathers and validates requirements, improves reporting processes, evaluates Oracle technologies, and guides SQL and PL/SQL development. The role also supports stakeholder collaboration, training, presentations, cross-functional leadership, and up to 25% domestic and international travel.

Develops automated finance analytics solutions, including dashboards, data quality checks, data architectures, and end-to-end pipelines. Collaborates with BI engineers and stakeholders to gather requirements and deliver analytic data products. Maintains technical documentation, investigates and remediates issues, and supports scalable data solutions using tools such as SQL, Python, Git, Jira, Confluence, and BI platforms.