Top Data & Analytics Jobs

Provide reporting, dashboards, and analytics for Consumer Channels Marketing. Support channel metrics, program and operations reporting, stakeholder engagement on data/tool issues, document processes, and deliver ad hoc analysis and special research projects.

Design, build, and maintain scalable, secure data architectures, models, and ETL pipelines. Integrate diverse data sources, optimize performance and data quality, implement governance, monitor production SLAs, and collaborate with data scientists, analysts, and product teams. Provide technical leadership, documentation, and training to improve engineering practices across the organization.

Lead development of cloud data platforms and end-to-end data pipelines using AWS/Snowflake and big-data technologies (Spark, Hive, Iceberg). Automate builds and deployments with Bash/Python shell scripting, apply CI/CD and Medallion Architecture, perform data modeling and warehousing, and collaborate across teams. Pharma/AbbVie experience preferred.

Lead design and implementation of scalable Azure-based data pipelines and architectures using ADF, Synapse, Spark/Databricks, and Power BI. Mentor engineering teams, ensure data security/compliance, collaborate with stakeholders, and drive adoption of best practices and new technologies.

Design, develop, and maintain ETL and reporting solutions using the Microsoft BI stack (SSIS, SSRS). Build and support data warehouse ETL processes, create Excel/Power Pivot/VBA automations, document requirements with Visio, provide second-line system support, coordinate resources, and manage multiple concurrent projects with minimal off-hours support.

Develop, maintain, and optimize SAS programs for data extraction, transformation, analysis, and reporting. Collaborate with analysts and stakeholders to ensure data quality, documentation, and reproducible analytics workflows.

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.

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.

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.