Top Data & Analytics Jobs

The Sr. Business Intelligence Engineer leads BI development, governs Power BI architecture, mentors developers, and ensures reliable reporting and documentation, while managing metrics and improving automation.

Design, implement, and maintain automated ingestion and transformation workflows to bring spreadsheet-based operational data (JSON/CSV/Excel) into enterprise databases and Pega workflows. Validate data integrity, troubleshoot pipelines, support reporting integrations, document data flows, and collaborate with architects, developers, and stakeholders to modernize and secure enterprise data services.

Design, build, and maintain scalable batch and streaming data pipelines and storage on AWS. Own features end-to-end, collaborate with cross-functional teams, ensure data quality and observability, mentor engineers, and occasionally support field deployments.

Lead a small analytics team (staff data scientist + two analysts) to deliver curriculum, product, and program insights. Split time between people management (60-70%) and hands-on analysis (30-40%), advance experimentation and measurement, build AI/LLM-driven agentic workflows, manage sprints and cross-functional stakeholder relationships, and drive analytics that inform curriculum, product, and intervention strategies.

Lead BI strategy and operations for credit risk reporting. Own KRI processes, governance, data validation, dashboards, and stakeholder collaboration. Manage recurring BI routines, ensure regulatory compliance, mentor BI analysts, and translate data into actionable insights for leadership.

Build and maintain Salesforce reports and Sigma dashboards, manage CRM data hygiene and Data Cloud integrations from the Databricks data lake, handle ad-hoc commercial reporting, and support AI initiatives tied to sales and commercial strategy.

The Senior BI Developer designs and implements analytics tools, interfaces with business leaders, mentors junior developers, and leads BI projects.

Design and optimize data models and visualizations for the Dwolla platform. Use SQL and ETL to analyze data, collaborate within project management frameworks, and advise stakeholders with data-driven recommendations to improve processes and services. Remote within the US.

Lead architecture and build scalable, high-performance data pipelines and transformation layers (dbt/Snowflake). Define data modeling standards, mentor engineers, partner with stakeholders to deliver trusted data products, enforce governance, optimize costs, and improve tooling, testing, and documentation.

Designs and governs Axiom's enterprise data model, sets data governance and quality standards, manages a Data Engineer, aligns data architecture and AI technology choices with enterprise strategy, administers Databricks, and ensures documented lineage, ownership, and data access for stakeholders.