Top Data & Analytics Jobs

Perform data analysis, develop KPIs and dashboards, build reports and visualizations, manage and integrate data sources, support client-facing marketing and communications projects, apply predictive and machine learning techniques, and present actionable insights to stakeholders to improve campaign and program performance.

Own and scale client-facing data transformation pipelines for financial and operational data. Build reliable analytical models, data integrity tests, and integrations across diverse sources. Partner with Customer Success and Engineering to troubleshoot data issues, optimize critical pipelines, establish engineering standards, and improve developer experience. Use dbt, SQL, Python, BigQuery, and AI-enabled workflows to deliver performant, well-documented FP&A data products while mentoring teammates and contributing to hiring and onboarding.

Build and quality-check short-term-rental market reports using Google Sheets and AirDNA data, investigate local amenities, improve presentation with Claude, edit Markdown and HTML files, and publish polished deliverables through Cloudflare. The role requires strong attention to detail, accurate formatting, dependable delivery, and familiarity with Monday.

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.

Design, build, and operate scalable batch, streaming, and CDC data pipelines across Snowflake and AWS. Lead ETL/ELT architecture, orchestration, data modeling, quality monitoring, observability, incident resolution, and performance optimization. Develop production solutions in SQL and Python, establish engineering standards for testing and CI/CD, and partner with Analytics Engineering, Data Science, Product, and Engineering teams to deliver reliable data products.

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.