Top Data & Analytics Jobs

Build and own production-grade data pipelines, source connectors, warehouse transformations, curated models, reconciliation, lineage, and data quality systems. Design scalable dbt projects and orchestration workflows using Airflow or Dagster, optimize warehouse performance, integrate messy enterprise systems, and ensure pipelines are reliable, idempotent, auditable, and cost-effective. Collaborate with backend and AI teams, establish data contracts, review work, and mentor engineers.

Administers, secures, maintains, and optimizes databases supporting U.S. Navy electronic warfare systems. Responsibilities include database configuration, upgrades, backups, recovery, performance monitoring, troubleshooting, data integration, security controls, documentation, and coordination with development, systems administration, and cybersecurity teams. The role supports lifecycle engineering, sustainment, reliability, readiness, and mission-critical data availability.

Collects, analyzes, and interprets data to support business decisions and improve operational performance. Develops automated reports, dashboards, and visualizations; performs statistical and data-mining analysis; supports labor, financial, and operational reporting; ensures data integrity; partners with departments on data-driven solutions; recommends process improvements; and assists with databases, integrations, system implementations, and analytics documentation.

Build and maintain dbt and semantic data models in Snowflake, develop ingestion and transformation pipelines, define trusted product metrics, and improve data collection. Partner with Product and Engineering to support experimentation and feature analysis. Establish data quality testing, documentation, HIPAA-aware access controls, and compliance practices. Use and validate AI-generated code and Snowflake Cortex outputs while raising technical standards across the team.

Build customer health scores, churn and expansion analytics, retention dashboards, automated alerts, and executive reports. Maintain integrations among databases, CRM, and BI tools while improving data quality and standardizing reporting. Lead AI adoption for analytics, validate generated insights, and enable customer-facing teams to make informed retention and expansion decisions. Requires strong BI, logistics or supply chain analytics, dashboarding, data integration, communication, and customer-focused skills.

Leads a seven-person operational data engineering team responsible for APIs, relational data platforms, legacy and migrated data integration, and transactional data scalability. Establishes priorities with product and technical stakeholders, provides technical guidance, manages delivery risks and resources, improves operational reliability, and develops team capabilities. The role partners across Engineering, Architecture, Product, Security, Infrastructure, Operations, vendors, and business stakeholders to deliver scalable data solutions aligned with organizational objectives.

Develop and optimize Pacsun’s enterprise MicroStrategy environment, including schemas, semantic layers, dashboards, dossiers, reports, and performance tuning. Integrate generative AI, natural-language queries, predictive analytics, anomaly detection, and RAG-enabled use cases. Write complex Snowflake SQL, support ETL/ELT processes, enforce governance and security, troubleshoot platform issues, document solutions, collaborate with business stakeholders, and mentor junior developers.

Summer Data Engineering internship supporting the data engineering team. Candidates should be rising juniors or seniors studying Computer Science, BIS, MIS, or a related field, with basic Microsoft Word and Excel skills, 40 WPM typing speed, strong communication and organizational abilities, and the capacity to multitask.

Build CodeRabbit’s foundational BI capabilities, executive and board-level dashboards, governed dbt data models, and self-serve analytics workflows. Analyze finance and go-to-market performance, including ARR, pipeline, margins, forecasting, and billing. Partner with Finance, GTM, and leadership to establish trusted metrics, improve data infrastructure, and develop agentic tools that generate reviewed dashboards and insights.

Owns the enterprise Power BI ecosystem, including data modeling, ETL/ELT pipelines, dashboards, reporting, administration, governance, security, and support. Leads BI implementations, platform maintenance, testing, documentation, process improvements, stakeholder training, and adoption of Microsoft Fabric, Databricks, and AI-enabled analytics. Requires strong Power BI and Azure Data Factory expertise, business requirements translation, analytical problem-solving, communication, and potential people leadership. Travel up to 20% domestically and internationally is required.