Top Data & Analytics Jobs

Administers the enterprise data warehouse and related analytics platforms, including user provisioning, access controls, system configuration, monitoring, troubleshooting, maintenance, data pipelines, and ETL/ELT operations. Supports audits, governance, compliance, documentation, and platform reliability while collaborating with data engineers, analysts, governance teams, and business stakeholders. Requires two years of relevant experience and a bachelor's degree or equivalent background.

Develops scalable data models, Databricks pipelines, backend applications, ETL processes, and data ingestion systems. Partners with engineering, product, and business stakeholders on technical roadmaps; monitors and optimizes data systems for performance, reliability, and scalability. Provides technical leadership, mentors junior engineers, conducts code reviews, and builds secure solutions for sensitive healthcare data.

Lead migration of Informatica PowerCenter ETL workloads from on-premises Oracle infrastructure to Oracle Cloud Infrastructure. Assess, configure, migrate, validate, troubleshoot, and optimize enterprise ETL processes across environments. Develop data reconciliation and source-to-target validation, resolve performance and connectivity issues, coordinate cloud and database dependencies, and maintain migration documentation, test plans, runbooks, and recovery procedures. Support production readiness, change control, defect resolution, security processes, and knowledge transfer for the VA Enterprise Data Warehouse.

Lead BI reporting and advanced analytics to optimize marketing campaigns and ROI. Build dashboards, manage multi-source data, ensure data governance, provide actionable insights, mentor juniors, and partner with cross-functional teams to guide strategy.

Owns the end-to-end health of a client’s enterprise data estate across legacy and modern platforms. Leads governance, SLAs, incident and problem management, data architecture standards, monitoring, data quality, and cross-party resolution. Establishes AIOps, intelligent observability, predictive failure detection, and self-healing automation while managing client stakeholders, demand governance, service reporting, and implementation roadmaps.

Conduct market, competitor, financial, and industry research for the Technology, Media, and Telecommunications practice. Identify prospects, support business development proposals, provide account intelligence, and translate quantitative and qualitative analysis into actionable insights. The role also supports AI-powered research tools and workflows, collaborates with senior leaders, and delivers executive-ready communications in a fast-paced consulting environment.

Leads enterprise data quality and metadata governance by defining frameworks, standards, playbooks, lineage practices, KPIs, and remediation processes. Provides hands-on coaching to data domain teams and operationalizes Atlan and Ataccama platforms. Partners with stewards, owners, architects, security, legal, and compliance teams to improve data discovery, traceability, regulatory readiness, and AI data grounding across structured and unstructured data.

Partner with CMO and product leaders to build AI-driven analytics agents, automate experimentation readouts, and productionize measurement systems. Lead causal inference, uplift modeling, and product/growth analytics to inform acquisition, engagement, retention, monetization, and LTV. Mentor the analytics team and translate data-driven insights into strategic recommendations for product and marketing.

Paid onsite internship supporting data acquisition and quality initiatives. Responsibilities include researching and onboarding data sources and vendors, validating and certifying datasets, tracking licensing obligations, building and maintaining data pipelines, automating data-processing tasks, and collaborating with product and engineering teams on data requirements. The role focuses on transforming messy location and enrichment data into trusted, structured product inputs.

Supports BSA/AML transaction monitoring, financial crime analytics, risk reporting, and business intelligence. Develops dashboards, KPIs, KRIs, visualizations, executive summaries, and automated reporting solutions. Performs data validation, mapping, statistical and root cause analysis, and assists with data modeling. Maintains documentation and audit evidence, supports testing and fintech partner implementations, and identifies process and reporting improvements.