Top Data & Analytics Jobs

Maintains databases, documentation, data dictionaries, and reporting processes. Performs data audits, validation, and analysis across multiple sources; creates reports, dashboards, and visualizations; identifies trends; presents recommendations; and improves data collection and reporting efficiency. The role also tracks state documents, adjuster renewal licenses, and internal claim audits while collaborating with departments to meet reporting needs.

As an Analyst in Finance Analytics & AI, you will develop AI agents to automate finance workflows, build data models, and create user-friendly applications for stakeholders, ensuring accurate financial analysis and reporting.

Owns governance, quality, mastering, and lifecycle management of client and intermediary data across Salesforce, MDM platforms, and external data sources. Oversees data feeds, reconciliations, reporting workflows, vendor relationships, matching logic, survivorship rules, documentation, and issue resolution. Partners with Distribution, Marketing, Product, Technology, and leadership to improve data integrity, reporting automation, platform integration, and client intelligence capabilities.

Leads data and analytics engineering for Zero Trust maturity assessment and implementation measurement. Designs common data models, integrates and validates enterprise data, develops maturity and risk metrics, supports prioritization and gap analysis, and establishes data quality, lineage, traceability, and documentation practices. Partners with dashboard and automation specialists to streamline reporting and data refresh workflows.

Analyzes sales, market, competitor, financial, and business data to produce reports, insights, recommendations, sales plans, and executive presentations. Supports product strategy, new product development, special projects, and shareholder meetings while coordinating with internal teams and the Korean parent company. Requires native Korean proficiency, strong analytical and communication skills, office software experience, and the ability to adapt to changing priorities.

Builds and maintains scalable data pipelines and cloud infrastructure supporting an AI biomedical research platform. Responsibilities include ingesting, harmonizing, validating, and documenting multimodal neurodegeneration datasets; managing cloud storage, compute, permissions, and costs; implementing de-identification and data governance workflows; supporting research data repositories and AI/ML teams; and maintaining data lineage, catalogs, and technical documentation. The role requires strong Python and SQL skills, software engineering discipline, cloud experience, and neurodegeneration research data expertise.

Process and analyze LiDAR datasets and GIS data; learn and use new geospatial software tools; ensure data quality and meet deadlines; communicate with team; complete training provided with potential for full- or part-time placement.

Design, develop, test, and operate large-scale BI solutions (reports, dashboards, data models) using Power BI and Azure Synapse. Gather requirements, translate business needs into data models, tune performance, collaborate with BI architects on POCs, and maintain stakeholder communication.

Lead and grow customer analytics practice in Communications, Media & Technology. Define strategies, develop thought leadership, and communicate analytics value. Lead and deliver large-scale, complex client engagements, focusing on customer analytics delivery, CRM modeling, reporting, and predictive analytics.

Design, build, and optimize scalable data platforms, pipelines, and lakehouse/warehouse solutions using Microsoft Fabric and Azure. Implement ETL/ELT, data migration from SQL Server, governance, CI/CD, streaming integrations, and Power BI connectivity to enable analytics and AI initiatives while ensuring security and performance.