Top Data & Analytics Jobs

Leads enterprise business intelligence strategy, product roadmap, semantic modeling, governance, delivery standards, and AI-enabled analytics experiences. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to deliver scalable Power BI and Snowflake capabilities. Manages BI demand, adoption, performance, and business value while leading, coaching, and developing the BI team and broader analytics community.

Leads enterprise business intelligence strategy, roadmap, product delivery, semantic modeling, governance, and adoption. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to deliver scalable Power BI and Snowflake capabilities, self-service analytics, and AI-assisted insights. Manages BI demand prioritization, stakeholder relationships, performance measurement, and a BI team while maintaining sufficient technical involvement to guide architecture, troubleshoot issues, and support priority initiatives.

Leads enterprise business intelligence strategy, roadmap, product delivery, semantic modeling, governance, adoption, and AI-assisted analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to deliver scalable reporting and decision-support capabilities. Manages and develops the BI team, prioritizes demand, establishes delivery standards, measures business value, and remains hands-on in solution design and complex issue resolution.

Supports public-data research, cleaning, validation, analysis, Tableau dashboards, state factsheets, program evaluation, grant reporting, and constituent data operations. Maintains Raiser's Edge NXT records, performs imports and cleanup, reviews data quality, prepares donor lists, and communicates findings to technical and nontechnical audiences.

Own the architecture and operation of distributed data systems for real estate analytics. Responsibilities include database and schema design, query optimization, high-throughput ETL/ELT pipelines, data integrity, observability, profiling, system performance, and technical leadership. The role involves building scalable systems with Python, Kafka, Kubernetes, PostgreSQL, and ClickHouse while mentoring engineers and documenting architectural decisions.

Leads enterprise business intelligence strategy, product roadmap, semantic modeling, governance, delivery standards, and AI-enabled analytics. Manages the BI team, partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT, and translates business needs into scalable BI products. Oversees adoption, reliability, performance, security, and business value while coaching technical professionals and remaining involved in solution design and troubleshooting.

Analyzes business and financial performance through variance analyses, scorecards, executive dashboards, and reporting. Administers commission calculations and incentive programs, validates data, maintains audit-ready documentation, and partners with Finance, Accounting, HR, and data teams. Automates recurring reporting and reconciliation workflows while improving data integrity, controls, accuracy, and efficiency.

Leads supply chain business intelligence, operational reporting, and advanced analytics for distribution operations. Develops SQL analyses, Power BI dashboards, data strategies, KPI governance, and decision-support tools to improve cost, service, quality, safety, labor productivity, and network performance. Partners with executives and cross-functional teams, oversees analytics projects, and coaches analysts while translating operational challenges into actionable insights.

Build and operate scalable batch and streaming data pipelines, dimensional models, ELT/ETL workflows, and trusted data products. Improve data quality, observability, reliability, performance, security, and cost efficiency across the cloud data platform. Partner with analytics, risk, finance, product, data science, and machine learning teams to support business and AI use cases. Lead technical initiatives, influence architecture, mentor engineers, and establish engineering best practices.

Leads a pricing team responsible for analyzing insurance, underwriting, claims, and business data; developing pricing models and recommendations; implementing product and rating changes; improving processes; and partnering with Underwriting, Claims, Marketing, and leadership. Manages and develops associates, prioritizes initiatives, ensures regulatory and process compliance, and communicates complex analytical findings to stakeholders.