Top Data & Analytics Jobs

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.

Supports data migration and conversion for a state government IT project. Responsibilities include documenting business requirements, translating requirements into functional and technical designs, profiling and cleansing data, writing complex SQL queries, developing source-to-target mappings, performing gap analysis, supporting testing and UAT, and collaborating with technical teams and data specialists.

Own marketing analytics across B2B and e-commerce funnels, including data modeling, metric definitions, campaign measurement, lead quality, attribution, dashboards, and executive storytelling. Partner with marketing stakeholders to identify funnel issues and recommend actions. Maintain a governed Snowflake marketing data layer, build self-service analytics and automated quality checks, support Salesforce Marketing Cloud migration, and develop AI-assisted analytics tools.