Top Data & Analytics Jobs

Build and maintain ELT pipelines, data models, semantic layers, and personalization signals for client retention and marketing tests. Partner with machine learning, product, marketing, design, and architecture teams to prepare predictive data, connect signals to CRM channels, support real-time event processing, and document a scalable data foundation. Use AI coding assistants daily to accelerate development, testing, and reviews in a fast-moving discovery environment.

Serve as the analytics lead for Acuity Scheduling: build data infrastructure, dashboards, and monitoring; translate product, financial, and operational data into executive insights; design metrics frameworks; run weekly/monthly reviews and deep dives; partner with Product, Engineering, and Analytics to support growth, retention, and strategic decision-making.

Designs scalable data models, governance processes, quality checks, documentation, and internal data tools. Partners with Data Engineering and business stakeholders to create trustworthy, discoverable, AI-ready data assets supporting analytics, reporting, downstream applications, and machine learning initiatives. Uses AI tools to improve modeling, governance, analysis, documentation, and automation workflows.

Lead design and development of BI information models, dashboards, metrics, and Palantir visualizations. Translate stakeholder requirements into technical reporting solutions, use SQL and programming tools to acquire, transform, validate, and visualize data, document metric logic, and support maintenance. Partner with business and technical teams, ensure scalable accurate BI solutions, and drive analytics that improve operational and strategic decision-making. Onsite at Hazelwood, MO; requires active U.S. Secret clearance.

Build and lead the data engineering ecosystem supporting analytics, BI, and data science. Design scalable pipelines, cloud infrastructure, Snowflake data warehouses, governance controls, validation frameworks, and machine learning workflows. Collaborate with engineering, data science, product, and business stakeholders on architecture and technology decisions. Develop AI agents and secure enterprise AI integrations, participate in on-call and incident management, document standards, and mentor data engineers.

Analyze customer data and build production-grade data models, dashboards, data products, and self-service analytics capabilities. Automate manual workflows, translate stakeholder needs into scalable solutions, and experiment with generative AI, conversational analytics, and AI-assisted coding tools. The role requires strong SQL, data visualization, analytical problem-solving, business judgment, communication, and collaboration skills. This is a hybrid position requiring three days onsite weekly in Framingham.

Analyze Talent Acquisition and people data to identify hiring trends, bottlenecks, quality issues, and equity opportunities. Partner with recruiting and business leaders to translate ambiguous questions into rigorous analyses, validate data, monitor metrics, and deliver actionable recommendations. Lead analytics projects end to end while using storytelling, product management, design thinking, and data-driven iteration to improve employee and candidate experiences.

The QC Manager ensures the integrity of the Neighborhood Captains program, monitoring data quality, conducting voter follow-ups, managing plants, and supporting Organizers with actionable insights.

Design and build scalable data pipelines, models, and dashboards for supply chain KPIs. Partner with business stakeholders to enable forecasting, scenario planning, data governance, automation, and actionable reporting for leadership and projects.

Lead and scale Webflow's analytics engineering function by designing enterprise data architecture, building semantic layers and governance, mentoring a team, and delivering reliable data models, testing, and self-serve analytics to enable data-driven decisions across the company.