Top Data & Analytics Jobs

Partner with Sales, Product, Engineering, and Operations to build the GTM analytics foundation for a new dealer software pillar. Own pipeline, install base, churn, demo-to-close, and launch analytics; identify and fix Salesforce/process gaps; create prospecting and churn-risk signals; write production-grade SQL on Snowflake and productionize assets in dbt; and maintain dashboards in Looker, Omni, and Salesforce CRM Analytics to drive measurable go-to-market execution.

Design and automate partner-facing reporting systems, transform complex healthcare data into clear insights, present findings to external stakeholders, support partner success, and collaborate cross-functionally to scale analytics workflows and uncover operational and clinical trends.

Design, build, and operate end-to-end data pipelines and curated compliance datasets powering transaction monitoring, KYC/EDD, and screening. Ensure data quality, lineage, and audit readiness; partner with Compliance and Engineering to improve detection signal quality, define metrics, and deliver repeatable reporting and measurement frameworks for control effectiveness.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

Maintain and integrate investment data; build data systems and ETL pipelines; analyze large datasets; produce visualizations and reports (Tableau/Power BI/D3.js); improve data quality and governance; develop analytical tools; collaborate with clients, system architects, and product teams.

The Data Migration Specialist optimizes system performance for client data onboarding by utilizing Excel, SQL, VBA, and Python. They resolve data issues, apply accounting concepts, and implement solutions for continuous service improvement, while collaborating with development teams.

Design, implement, and optimize data pipelines and integrations for Multi-Touch Attribution (MTA) marketing analytics. Support client deployments, translate business requirements into technical workflows, maintain data accuracy and performance, and contribute to large-scale, product-driven engagements to drive adoption and measurable business outcomes.

Develop and productionize safety and performance metrics for autonomous driving by analyzing large-scale vehicle, simulation, and external data. Build scalable data pipelines, interactive visualizations, and analytics infrastructure to support safety assessment, monitoring, investigations, and stakeholder decision-making. Apply engineering judgment, signal processing, and statistics to derive analysis-ready features and evidence for launch readiness.

Design, prototype, and deploy analytical and AI-enabled tools integrated with the Aladdin platform to support portfolio construction, research, and decision-making. Work closely with investment teams to identify opportunities, manage projects from ideation to production, and partner with engineering to ensure scalable, reliable solutions.

As a Data Analyst at Mochi Health, you will analyze data to improve marketing strategies, model ROI, and automate reporting, partnering with a growth-focused team.

The Data Scientist will analyze operations analytics, automate workflows, design metrics, and partner with teams to enhance healthcare delivery.

Entry-level Data Engineer responsible for building and maintaining cloud-based data assets and pipelines, improving data quality and automation, investigating data integrity issues, and collaborating with architects, analysts, and stakeholders. Uses SQL and Python, participates in Agile practices, leverages AI-powered developer tools for spec-driven development, and follows responsible AI and data privacy practices.

As Customer Insights Lead, you will establish a customer intelligence hub, conduct research and analysis, and build a high-performing team to drive strategic decisions.