Top Data & Analytics Jobs

Designs and maintains enterprise data pipelines, warehouses, lakes, semantic models, ETL/ELT processes, and SQL solutions. Supports Power BI datasets and reporting architectures while ensuring data quality, governance, security, and performance. Collaborates with HR stakeholders, analysts, data scientists, and technology teams to translate business requirements into scalable technical solutions. The role also contributes to data architecture, troubleshooting, documentation, and engineering best practices.

Leads enterprise Business Intelligence projects, developing complex data models, dashboards, and visualizations in Power BI. Collaborates with data engineers on ETL pipelines, partners with governance teams on compliance and security, translates analytical findings into business strategies, integrates BI tools with business systems, improves BI infrastructure, and mentors less experienced professionals while shaping BI strategy.

Analyzes enterprise KPI performance, develops baselines, supports target setting, checks target plausibility, and tracks performance against goals. Partners with Finance and program owners to interpret data, identify trends, and produce recommendations for planning cycles and senior leaders. Uses advanced analytics, SQL, statistical methods, business intelligence platforms, and AI-augmented tools to create defensible performance narratives and visualizations.

Leads end-to-end data engineering solutions across multiple client engagements, from discovery and architecture through production support. Designs and optimizes Snowflake data platforms, models, warehouses, ELT/ETL pipelines, APIs, integrations, and deployments. Provides technical leadership, client communication, estimation, governance, performance and cost management, engineering standards, mentoring, training, and production escalation support.

Analyzes business questions, conducts impact analyses, develops dashboards, reports, deterministic models, and low-code analytics applications. Partners with data engineers to improve datasets and metrics, documents data products and insights, and communicates findings to business stakeholders. Requires SQL proficiency, basic statistical knowledge, and experience with Python, R, or similar languages, along with reporting and analysis experience.

Designs and develops agency-wide SaaS applications supporting behavioral health programs and administrative units. Configures MIS/EHR features, data elements, file formats, and data processes; develops institutional and departmental reports; performs complex SQL, ETL, and data analysis; documents technical and business requirements; and collaborates with end users, developers, IT staff, and leadership to improve systems and outcomes.

Designs and maintains BI datasets, data models, reports, dashboards, and visualizations. Extracts and transforms ERP data using SQL and related tools, develops Python or Excel/VBA reporting solutions, and creates QVD files from disparate sources. Partners with stakeholders and IT to improve data accuracy, security, documentation, processes, and decision-making through intuitive self-service analytics.

Develop and maintain data pipelines for GEOINT datasets, transform and standardize data for machine learning environments, assist with data service development, document workflows, analyze data, and support data quality. Collaborate with senior engineers and scientists on Department of War artificial intelligence initiatives while communicating findings and adapting to changing priorities.

Manages a team of strategy analysts supporting legal placement operations. Oversees strategy deployment, segmentation criteria, testing, inventory optimization, process improvement, compliance controls, and data-driven recommendations. Analyzes financial and legal operational data using SQL and Excel, presents findings to leadership, maintains policies and change logs, resolves process issues, and mentors junior analysts. Supervises hiring, training, performance evaluation, work assignment, and employee development.

Designs, develops, supports, and optimizes enterprise data pipelines, ETL processes, integrations, data models, quality controls, dashboards, and reporting solutions. Partners with business and technology stakeholders to translate requirements into technical solutions, troubleshoot data and performance issues, support production operations, and maintain governance, regulatory, and control standards. The role is primarily onsite in Buffalo, New York, with one remote day weekly.