Top Data & Analytics Jobs

Lead BI engineering and enablement to create governed, AI-ready analytics foundations: shared metrics, semantic/knowledge layers, metadata and lineage, BI tooling administration, and adoption. Partner with Data Engineering, Governance, Applied AI, platform teams and vendor partners (Tableau, GCP) to ensure consistent, explainable business definitions, drive adoption, reduce metric drift, and develop BI talent and enablement across the enterprise.

Support delivery and continuous improvement of marketing technology and customer data capabilities. Monitor integrations and data flows across CRM, AEP, eCommerce, POS, and OMS; execute QA/UAT and end-to-end testing; perform data validation and analysis; document functional requirements and processes; provide L2 support and coordinate cross-team issue resolution to ensure reliable customer experiences and system performance.

Design, develop, and implement statistical and machine learning models to support decision-making and solve complex problems, leading a team or contributing as an individual.

Design, build, and maintain production data pipelines and ETL/ELT workflows. Integrate SaaS and operational systems via APIs, transform JSON/XML to structured datasets, optimize SQL, implement data quality checks, and contribute to cloud-based data infrastructure using Python, Airflow, and cloud data services.

Paid fall internship supporting the Data Team: build and maintain reports and dashboards, analyze sales/marketing/title performance, clean and document data, support ad hoc analyses and cross-department collaboration, and provide general administrative support.

Lead finance-focused data and analytics initiatives: build scalable data models and Power BI dashboards, develop a Finance AI roadmap, analyze margin/utilization drivers, support profitability and pricing strategies, and deliver executive-ready insights partnering with FP&A, Operations, IT and senior leadership.

Support enterprise data and analytics initiatives using Microsoft Fabric: build data pipelines, design lakehouse/warehouse models, develop Power BI reports and semantic models, assist exploratory AI use cases, document data flows, and collaborate with engineers, architects, and business stakeholders.

Design, build, and maintain scalable SQL/Python data pipelines using Apache Airflow. Integrate, cleanse, and model complex datasets, implement data quality checks, leverage AI tools to optimize development, and collaborate with stakeholders to deliver automated analytical solutions on cloud big-data platforms.

Lead enterprise strategy, data governance, business intelligence, research, and performance management. Develop KPIs, dashboards, predictive analytics, and continuous improvement processes. Support executive decision-making, Head Start/Educare evaluation, and data-driven organizational change to improve outcomes and stewardship.

Design and own end-to-end data ingestion and transformation pipelines, lead GCP→AWS/Databricks migration, build dbt models in a medallion architecture, implement data quality and observability, manage reverse ETL integrations, write architecture decisions, and partner with business teams to translate requirements into reliable data products.