Top Data & Analytics Jobs

Build and operate reliable ETL and ELT pipelines across lakehouse and transactional systems. Develop data models, enforce governance, integrate diverse data sources, and support analytics, APIs, and predictive tools. Monitor performance, data quality, lineage, cost, and uptime while collaborating with data science, AI, product, and innovation teams.

Leads web analytics strategy, platform implementation, tagging, tracking, data governance, audits, dashboards, reporting, and optimization across client accounts. Configures GA4, Adobe Customer Journey Analytics, Piwik PRO, Google Tag Manager, and Adobe Launch; develops measurement plans, attribution and testing strategies; evaluates digital and campaign performance; and presents actionable recommendations to technical and non-technical stakeholders. Collaborates with marketing, strategy, client partnership, and web development teams while occasionally overseeing Associates.

Analyzes KPIs, product performance, marketing campaigns, and digital customer behavior. Creates Adobe-based visualizations and workflows, defines metrics aligned with enterprise goals, gathers requirements, develops acceptance criteria, and supports testing and validation. Acts as a liaison among product managers, data engineers, and visualization teams while interpreting analytics for executive reviews. The role requires stakeholder facilitation, strong communication, Adobe Analytics expertise, and on-site work in Seattle.

Develop Big Data applications and cloud-based auditing and data usage monitoring solutions. Work with Product Owners and end-users in an agile environment. Responsibilities include building data warehouse solutions, fit-for-purpose data stores, testing automation, CI/CD pipelines, and applications using Java, Scala, Spark, Hadoop, AWS, and related technologies.

Manage the full SQL database infrastructure across development and mission-critical production environments. Responsibilities include administering SQL Server and MySQL databases, supporting relational database, data warehouse, and operational data store designs, enabling business intelligence applications, modeling database flows in Visio, and collaborating effectively with project teams.

Senior Data Analyst responsible for translating media, audience, and client data into actionable insights and strategic recommendations. The role includes audience segmentation and modeling, competitive and seasonal analysis, performance measurement, dashboard reporting, SQL and BigQuery workflow automation, client presentations, and cross-functional collaboration. The analyst will represent Data Strategy with clients, support audience product activation, provide thought leadership, and mentor junior analysts.

Leads business intelligence and analytics initiatives, delivering performance insights and scalable reporting solutions. Designs data warehouses, data lakes, and BI platforms; extracts, transforms, and analyzes complex data; applies statistical and predictive modeling techniques; collaborates with stakeholders across business functions; prioritizes analytical projects; and mentors other analysts.

Build and lead Way’s data infrastructure from the ground up. Design cloud-native data lakes, scalable batch and real-time ETL/ELT pipelines, ingestion frameworks, data warehouses, orchestration, streaming systems, data quality monitoring, and DataOps practices. Develop Python and SQL-based data solutions, infrastructure as code, feature stores, dashboards, and self-service analytics. Partner with product and business teams on metrics, predictive modeling, and experimentation while establishing data-driven practices.

Provides user-facing data and technical support by troubleshooting system and data issues, investigating anomalies with SQL and Python, validating reports and dashboards, and coordinating resolutions with BI, engineering, product, and operations teams. Builds support dashboards and reports, maintains data definitions and governance documentation, participates in UAT and QA, performs post-incident reviews, and develops support playbooks. Communicates technical findings to non-technical stakeholders and uses AI-assisted analytics to improve investigations and business insights.

Conduct quantitative analysis of macroeconomic, market, consumer, and business trends using first- and third-party data. Translate findings into accessible public-facing research, written content, visualizations, and interactive tools for Wealthfront’s blog, newsletter, social media, and media channels. Monitor economic news, collaborate with content and communications teams, and participate in media, podcast, and video interviews.