Top Data & Analytics Jobs

Build and scale core data infrastructure and foundational datasets. Design, develop, and maintain scalable data pipelines for analytics, ML, experimentation, and product use cases. Implement data quality, audits, alerting, and anomaly detection. Partner with product, engineering, and business stakeholders and help establish long-term, scalable data architecture and tooling.

Owner of marketing-focused data engineering: build and maintain integrations, tracking, and pipelines across BigQuery, ClickHouse, GCS, and external systems; troubleshoot tracking, payment, and data quality; collaborate with cross-functional teams and document data flows.

Produce business intelligence insights through statistical reporting and data analysis to identify trends across supply chain and other business functions. Apply BI methodologies and data mining models to support decision-making, deliver solutions within known alternatives, and occasionally mentor or supervise junior staff. Work independently within defined boundaries and influence tactical business decisions.

Design, develop, and support variable-data document composition and high-volume data processing solutions using Quadient Inspire and ETL tools. Build automated data transformation, validation, mailing-compliance, and QA workflows to support print/mail production while ensuring data security and regulatory compliance.

Analyze large and diverse datasets to uncover insights, develop/train/deploy machine learning models, design data preprocessing pipelines, and create visualizations and reports. Collaborate with cross-functional teams to build predictive models, recommendation systems, and optimization algorithms to drive business improvements.

Implement and support Oracle EBS and Oracle Cloud ERP financial and PPM modules. Gather, analyze, and document business and system requirements. Build solution designs and process maps; develop reports and BI Publisher templates using SQL and XML. Create test scripts, support CRP testing, track/resolve issues, recommend system/process improvements, and support financial processes including month-end close.

Lead primary and secondary research to analyze demographics, competitors, and local economic indicators to evaluate market demand and support executive decisions for new community development, acquisitions, and strategic investments.

Design and maintain data pipelines, transformations, and analytics-ready data models for the RADAR platform. Build and maintain BI dashboards and self-serve reporting, write scalable SQL and Python/R code, implement testing and data validation, automate recurring workflows, and partner with Product, Engineering, Sales, and Marketing to define KPIs and translate business requirements into reliable data products.

Lead credit underwriting, pricing, verification, and portfolio performance for personal loans. Use data and ML/AI to design automated decisioning, manage credit/fraud risk, forecast losses, and present strategies to leadership and investors. Collaborate cross-functionally and build vendor/alternative-data strategies to drive profitable growth while keeping losses within risk appetite.

Lead marketing data automation and reporting efforts: build and maintain Power BI dashboards, automate reporting, integrate marketing and insights data, support AI data-readiness, and partner with Marketing, Finance, and Insights to deliver actionable analytics for planning and post-event analysis.