Top Data & Analytics Jobs

Owns automated dashboards, SQL-based analysis, data pipeline monitoring, exploratory analysis, and executive recommendations. The role tracks marketplace KPIs such as customer lifetime value, acquisition costs, churn, and provider utilization while partnering with engineering and product teams on data requirements. It is fully remote within the United States and requires advanced SQL, dashboard development, and strong analytical communication.

Build and operate production data integrations and ETL pipelines using AWS Glue, PySpark, Python, SQL, and ClickHouse. Responsibilities include designing schemas, integrating unfamiliar data sources, monitoring pipeline health, debugging incidents, improving observability, supporting restricted-environment deployments, and participating in on-call operations. The role collaborates with forward-deployed engineers and requires full-time onsite work in New York City, occasional travel to Arlington, and eligibility for a U.S. government security clearance.

Develops and maintains Power BI dashboards and reports focused on cybersecurity KPIs, trends, and anomalies. Translates business requirements into data-driven insights using Python, SQL, Snowflake, AWS, and data pipelines. Optimizes data models and queries, integrates data with engineering teams, supports governance and security compliance, and trains stakeholders on BI tools.

Leads complex software development and problem resolution across multiple applications. Designs, implements, and improves business software, leads technical projects, mentors junior engineers, performs advanced analysis and modeling, translates business needs into technical solutions, and ensures projects meet timelines and specifications.

Own the business intelligence domain by building scalable data models, dashboards, reports, data pipelines, and analytical capabilities. Transform large datasets using SQL and scripting languages, maintain data quality and availability, conduct A/B tests, develop predictive models, and generate insights for product, sales, operations, and leadership. The role also includes stakeholder collaboration, data governance, infrastructure improvements, and mentoring colleagues.

Leads prospect identification, research, qualification, portfolio strategy, moves management, Salesforce data integrity, dashboards, and fundraising analytics. The role translates donor and prospect intelligence into actionable recommendations for fundraisers and leadership, supports pipeline development, analyzes acquisition and engagement trends, and establishes data standards and quality controls. It collaborates across advancement and organizational teams while preparing prospect profiles, meeting briefs, campaign lists, and strategic reports.

Administer, secure, govern, and optimize the enterprise Power BI environment, including tenants, workspaces, gateways, capacities, semantic models, refreshes, and deployment pipelines. Troubleshoot reporting and data issues, support SQL and ETL integrations, automate administration with Python, improve performance, maintain documentation, and guide stakeholders on analytics best practices. The role works onsite three days weekly, supports a 24/7 environment, may require on-call participation, and includes occasional travel up to 15%.

Leads data engineering, business intelligence, and analytics teams; oversees data pipelines, integration infrastructure, database architecture, CI/CD practices, and enterprise data platform strategy. Partners with business and technology stakeholders to define requirements, improve data capabilities, maintain Ubuntu-based services, and deliver reporting and KPIs to leadership. Responsible for team hiring, development, mentoring, operational health, and technical execution across analytics and data integration platforms.

The Media Data Analyst will enhance Media datasets, oversee data extraction and transformation, and collaborate with clients and teams to improve product features.

Leads the architecture and engineering of scalable Snowflake data platforms, including ETL pipelines, data warehouses, streaming ingestion, stored procedures, performance optimization, security, and automation. Troubleshoots platform issues, collaborates on enterprise data initiatives, and mentors junior architects and engineers. The role requires deep Snowflake, SQL, Python, data modeling, and modern data platform expertise, with preferred experience in cloud platforms, orchestration tools, governance, and real-time analytics.