Top Data & Analytics Jobs

Support and mature the firm's enterprise data governance program across Microsoft 365 and SaaS platforms. Responsibilities include administering retention, classification, DLP, eDiscovery, legal hold, information protection, access reviews, data lifecycle processes, audits, investigations, and compliance activities. The role troubleshoots permissions, search, migration, and integration issues, identifies automation opportunities, and coordinates between technical teams and business stakeholders.

Ensures healthcare data is accurate, consistent, secure, and compliant. Responsibilities include requirements gathering, SQL-based data preparation, audits, data quality analysis, dashboards, KPI development, discrepancy resolution, statistical modeling, and testing. The role also develops and deploys machine learning and LLM solutions, RAG systems, AI assistants, chatbots, and automation for data quality initiatives, while supporting deployment, documentation, and training.

Supports financial aid services by administering PeopleSoft Campus Solutions functionality, testing system changes, troubleshooting issues, and coordinating with Financial Aid and IT. Creates queries, reports, dashboards, and data extracts; analyzes data to maintain integrity and compliance; improves processes and student-facing functionality; and documents system procedures and requirements.

The Data Analyst will analyze data to provide business insights, create reports and dashboards, and collaborate with teams for data-driven decisions.

The Data Analyst collaborates with teams to analyze criminal justice data, provides insights, and supports product launches by presenting analyses to stakeholders.

This role requires managing revenue and P&L reports, supporting business processes with report maintenance and creation, and managing inquiries related to reporting.

The Data Analyst will support data manipulation, ingest large volumes of data, create visualizations, and conduct analyses for U.S. Customs and Border Protection.

The Data Analyst will conduct data mining, analyses, and reporting, support client applications, and work within a data science project team.

The Marketing Data Analyst collaborates with marketing and IT teams to leverage data insights for client acquisition and retention. Responsibilities include analyzing data using SQL and statistical tools, creating reports, and ensuring data compliance.

The role involves drafting QA policies, analyzing data for improvements, preparing reports, and coordinating audits while ensuring compliance with standards.

Analyze and collect data, conduct research, administer quality control, and prepare reports for internal and external requirements.

The Data Architect/Data Analyst will transform business requirements into technical specifications, evolve data models, and communicate designs to stakeholders. Responsibilities include collaborating with ETL developers, maintaining documentation, and optimizing database architectures.

Searching for experienced candidates to join the IT Solutions Division, specializing in data analysis, analytics, and technologies like Java, SQL, and Big Data.

Support enterprise data warehouse data accuracy and completeness: analyze and resolve data issues, create and load source-to-target mappings, validate ETL code, and consult reporting teams on variances.

The Data Analyst will optimize marketing funnel metrics, conduct analyses, manage dashboards, and promote data-driven decision-making within the team.

The Staff Data Analyst will provide insights to product, marketing, and commercial teams, create visualizations, define metrics, design experiments, and enhance user engagement through data-driven decisions.

Perform stakeholder interviews and exploratory analysis to surface insights; build dashboards and reports; profile data and assess quality; leverage cloud data platforms; collaborate with engineers and clients; facilitate agile workshops and explore AI/GenAI to accelerate reporting and decision intelligence.

Leads requirements gathering and develops scalable analytics solutions, dashboards, semantic models, and self-service BI products. Partners with Analytics Engineering on Snowflake canonical models, dbt transformations, data quality, testing, and migration from legacy platforms. Applies responsible AI-assisted tools, mentors analysts, establishes standards, coordinates delivery across stakeholders, and drives adoption and business impact.

Develop and support Qlik dashboards, data visualizations, analytical models, and reporting solutions for CBP Trade mission decision-making. Collaborate with stakeholders, product owners, and development teams to refine requirements, support Agile delivery, manage risks, demonstrate analytics products, gather feedback, and improve analytics capabilities and processes.

Lead development and operationalization of enterprise data risk frameworks, KRIs/KPIs, and risk registers. Produce dashboards and reporting, track remediation, partner with data, technology, risk, and compliance teams, and support data protection, governance, and adoption activities across cloud data environments.

The Senior Revenue Operations Analyst will ensure data quality across systems, integrate third-party data into CRM, define quality metrics, and collaborate cross-functionally to improve data processes.

The Senior Revenue Operations Analyst will enhance GTM data quality, integrate 3rd party data into CRM, and solve data issues collaboratively with various teams.

Analyze cellular technology data related to service coverage and user experience. Build business intelligence and analytical datasets, define requirements for additional mobile-app data collection, develop visualization and analytics solutions, present findings to stakeholders, document workflows and data dictionaries, and collaborate with data engineers to optimize data platforms and deliver actionable insights for product development.

Manage master data, users, roles, datasets, reporting environments, and data quality. Generate and troubleshoot reports, support data warehouse requirements, maintain data integrity and normalization, evaluate system updates, and provide technical expertise in data storage, mining, and cleansing. Train end users on reports and dashboards while translating business requirements into clear, nontechnical recommendations.

Analyze insurance policy, premium, claims, billing, and financial data; build KPI dashboards and reports; write and optimize SQL; validate and model datasets; identify trends, anomalies, fraud indicators, and leakage; and translate business questions into clear recommendations for underwriting, actuarial, claims, finance, and other stakeholders. The role supports pricing, reserving, portfolio management, retention, and loss-ratio analyses.