Top Data & Analytics Jobs

Administers Oracle, SQL Server, Sybase, PostgreSQL, and other databases, maintaining integrity, security, availability, performance, and recoverability. Responsibilities include user-account management, backups and disaster recovery, performance tuning, index maintenance, auditing, encryption, secure configuration, database server administration, and SQL/PL/SQL scripting. The role also evaluates DBMS products and develops policies and procedures supporting mission-critical systems.

Develop and manage scalable ETL/ELT pipelines and data warehouses, ensuring performance, reliability, integrity, and consistency. Monitor systems, troubleshoot issues, collaborate with technical and business teams, document architectures, and improve data infrastructure for scalability. The role requires production-quality Python, AWS experience, strong debugging skills, and approximately four years of fintech or startup experience. It is based in Palo Alto with three days per week in the office.

Build and maintain scalable data stores and reliable data pipelines for robotics and safety datasets. Optimize AuroraDB and Elasticsearch performance, support data ingestion and cleanliness, and develop QuickSight or other dashboarding solutions for organizational reporting. The intern will collaborate on dependable data platforms, use modern software development workflows, and may contribute to cloud database infrastructure, automated data integration, and infrastructure-as-code projects.

Build and lead Vibe’s Marketing Science function, defining measurement strategy and frameworks for incrementality, lift studies, attribution, and marketing mix modeling. Partner with Product, Data Engineering, Sales, Client Success, clients, and measurement providers to ensure statistically rigorous performance reporting. Analyze SQL data, design experiments, resolve discrepancies, present recommendations to senior stakeholders, publish insights, and build a team of analysts and managers.

Leads pricing analytics and develops data-driven pricing strategies to optimize gross profit, competitiveness, and customer acceptance. Builds reporting and dashboards, advises network and merchandising teams, supports AI-powered pricing solutions, digitizes processes, and drives experimentation and continuous optimization. Collaborates with Data, Sales, Transformation, Purchasing, and Category Management teams to translate business requirements into pricing solutions and communicate recommendations across the branch network.

Analyzes transaction and business data using SQL, builds and maintains BI dashboards, handles ad hoc requests, and translates stakeholder needs into actionable insights. Partners with Finance and Operations, documents analytical best practices, mentors junior team members, promotes data literacy, and designs A/B tests to guide feature prioritization.

Develop financial, strategic, pricing, forecasting, and operational models; analyze complex datasets; build dashboards and recurring reports; validate data; and translate findings into actionable recommendations. The Senior Analyst partners with Sales, Pricing, Operations, Finance, and senior leaders to support strategic decisions, identify risks and opportunities, automate reporting, and manage multiple analytical projects.

Leads business intelligence and data strategy by integrating organizational systems, analyzing large datasets, and delivering actionable insights. Advises leadership and revenue-generating teams on attendance, visitor experience, fundraising, profitability, and operational improvements. Oversees data modeling, visualization, process design, project execution, budgeting, stakeholder collaboration, mentoring, and data-driven decision-making.

Designs, builds, and maintains scalable Databricks and PySpark data pipelines; develops Python and SQL transformations; identifies insights from ambiguous datasets; and ensures data quality, governance, documentation, and reliable delivery. Collaborates with stakeholders and cross-functional teams to integrate data into applications and dashboards, troubleshoot pipeline issues, and support a Department of Defense Navy client.

Owns production data systems end to end, including data models, ETL and API integrations, applications, platform maintenance, data quality, governance, and technical debt. Supports OPSDB and exploration operations, improves reliability and alerting, documents systems, collaborates with cross-functional and nontechnical stakeholders, and mentors junior analysts. The role also supports procurement and inventory initiatives, works with geologists, and requires occasional international travel to exploration sites.