Top Data & Analytics Jobs

Leads GreenSky’s enterprise business intelligence and data engineering strategy, including data modernization, cloud platforms, analytics, governance, reporting, and AI/ML enablement. Builds and scales enterprise data organizations, establishes KPI frameworks and executive reporting, ensures regulatory compliance and data quality, and applies advanced analytics to lending, credit risk, fraud prevention, servicing, customer acquisition, and portfolio performance.

Develop and manage data pipelines, integrations, analytics solutions, ontologies, business object models, and enterprise data architectures using Palantir Foundry. The role supports data governance, quality, lineage, operational workflows, technical solution design, and cross-functional collaboration with technical and business stakeholders. Federal or Department of Defense experience and Agile experience are preferred. A DOD Secret clearance is required.

Lead enterprise Master Data Management strategy, architecture, governance, data quality, and integration initiatives across customer, product, supplier, employee, and financial domains. Design data models, hierarchies, matching and survivorship rules, integration patterns, and implementation roadmaps. Advise clients on Oracle and Salesforce ecosystems, lead workshops and executive presentations, guide solution delivery, mentor consultants, and contribute to proposals and statements of work.

Designs, builds, and operates enterprise data lakes, warehouses, lakehouses, ETL/ELT pipelines, databases, and reporting platforms. Prepares governed, model-ready data for AI and machine learning, supports feature stores and embedding workflows, administers relational databases, optimizes queries and dashboards, and ensures data quality, security, availability, and disaster recovery. Collaborates with technical and business teams, reports to senior management, and mentors data engineers.

Assistant Professor of Business Analytics responsible for designing and leading a new undergraduate program, teaching business analytics courses, advising students, conducting scholarly research, serving the university community, and engaging with professional associations. The role requires expertise in data collection, databases, statistical analysis, machine learning, data visualization, enterprise resource planning, and AI in business. Applicants must support Calvin University’s Christian educational mission and demonstrate commitment to diversity and inclusive communication.

Analyze and integrate client and acquisition data, develop analytical methodologies, maintain databases, create reports and technical deliverables, conduct research and reviews, troubleshoot data issues, and provide recommendations. The role also supports project objectives, strategic direction, system testing and implementation, and client relationship management.

Designs, analyzes, documents, integrates, and migrates complex environmental datasets for AirHub business lines. Responsibilities include analyzing legacy databases, creating logical and physical data models, documenting mappings and business rules, developing migration specifications and API integrations, supporting data governance and testing, and producing technical documentation. The role also requires close collaboration with business stakeholders in an Agile delivery environment.

Build scalable data pipelines, dashboards, visualizations, and automated risk and compliance workflows using Python, Spark, Airflow, SQL, and generative AI. Perform exploratory and statistical analysis to identify insights, anomalies, and operational improvements. Partner with Operations, Compliance, Product, and Engineering to deliver data-driven solutions and support strategic initiatives.

Owns enterprise data architecture, standards, semantic layers, certified data products, and data governance across large-scale transformation programs. Leads SAP S/4 data transformation, Databricks integration, migration strategy, architecture reviews, vendor assessments, and technical delivery direction. Establishes data quality, security, access-control, and product operating models while influencing executives and cross-functional teams without direct reporting authority. Mentors architects and engineers and guides multi-year platform and technology investments.

Provides advanced workforce analytics for contact center workforce management. Analyzes operational and workforce data, develops forecasts, staffing models, dashboards, predictive insights, and KPI reporting, and recommends improvements to efficiency, capacity, productivity, and service levels. Partners with HR, business, technology, and operations stakeholders to integrate data, automate reporting, improve workforce planning, and support data-driven decisions.