Top Data & Analytics Jobs

Own production Power BI development, including reports, dashboards, semantic models, advanced DAX, Power Query, SQL, and dimensional modeling. Design, deploy, troubleshoot, and support scalable analytics solutions; modernize legacy BI systems; improve data quality, security, performance, and release practices; and collaborate with Product, Analytics, Engineering, and business stakeholders. Preferred experience includes Microsoft Fabric, source control, CI/CD, semantic model tools, and regulated industries.

Lead Product Analytics strategy, team development, reporting, experimentation, data quality, and analytics platforms. Build an AI-native operating system that automates analytics workflows while maintaining governance and rigor. Own Amplitude instrumentation, KPI definitions, data models, pipelines, and product measurement. Partner with product and business leaders to guide decisions through diagnostic analysis, causal inference, launch measurement, and trusted reporting across crypto and trading products.

Maintains and analyzes customer, item, and coding data using Oracle systems. Organizes, validates, and prepares electronic data updates; investigates data issues, develops corrective solutions, assesses business impacts, and processes reports. Collaborates cross-functionally to support customer master and national coding initiatives, project planning, and execution while ensuring data integrity and customer-focused outcomes.

Owns the analytics database, data pipelines, modeling, operational reporting, data dictionary, KPI definitions, and scheduled-job operations. Integrates vendor APIs, builds reliable incremental pipelines, creates governed reusable data assets, supports BI users, and leads one analyst. The role also contributes to the analytics roadmap and delivers new data sources and shared business definitions.

Analyzes and maintains customer, item, and configuration master data using Oracle and Microsoft tools. Organizes and validates files for electronic updates, investigates data and process issues, evaluates business impacts, prepares reports, and supports cross-functional projects. Collaborates with business teams to ensure data integrity, accurate national coding, efficient processes, and customer-focused solutions.

Analyzes financial, operational, sales, and customer data for the CEO and executive leadership team. Reconciles inconsistent data sources, builds models, explains performance drivers, and delivers actionable recommendations through board-quality reports and presentations. Leads cross-functional CEO initiatives, supports acquisitions and integration, manages executive reporting, and provides continuity for executive office operations. Handles confidential information and contributes to future analytics and reporting architecture.

Administers and supports Slate CRM environments for undergraduate, graduate, and certificate enrollment operations. Monitors data movement across Slate, Axiom Elite, Ellucian Banner, and third-party integrations; investigates errors, anomalies, fraud, and data-quality issues; and performs reconciliation using SQL, Tableau, and reporting tools. Develops or recommends improvements to validation controls, integrations, and automated monitoring. Provides technical support, translates business requirements, protects confidential records under FERPA, and collaborates with university stakeholders.

Develop and maintain database systems supporting marketing campaigns, including production scripts, tables, stored procedures, views, functions, ETL feeds, data warehouse metadata, automated reporting, and quality-control processes. Prepare campaign universes, selections, suppressions, and creative assignments. Perform code and data audits, troubleshoot production processes, document workflows, and identify process improvements while translating business requirements into executable technical solutions.

Leads enterprise business intelligence strategy, roadmap, governance, analytics, data engineering, data science, and AI-enabled automation. Partners with executives across functions to define KPIs, deliver dashboards and predictive insights, oversee data platforms and integrations, manage technology vendors and budgets, and lead a global team of BI engineers, data engineers, analysts, and data scientists.

Develop and maintain logical and physical data models, architectures, schemas, pipelines, and ETL processes. Ensure data governance, compliance, integration, reuse, and quality. Analyze data requirements, create decision-support materials, and brief senior leaders. The role requires extensive experience in data engineering, ORSA, data science, warehousing, ingestion, profiling, SQL, pandas, Python, and distributed data environments, along with an active TS/SCI clearance.