Top Data & Analytics Jobs

Build and maintain scalable GTM data pipelines, marts, semantic models, and dashboards supporting headcount planning, quota attainment, pipeline, and sales effectiveness. Partner with GTM analysts and stakeholders to establish reliable metrics, enable data tools, document systems, and develop AI-powered natural-language data querying capabilities. Translate complex data concepts for executives and engineers while ensuring high-quality, maintainable data products.

Leads client data migration and onboarding by collecting, loading, validating, normalizing, reconciling, and reporting data in the Clearwater investment account system. Uses Excel, SQL, VBA, and Python to identify discrepancies, improve automation, and develop scalable workflows. Applies accounting, securities, fixed income, equity, and financial markets knowledge while coordinating complex activities, supporting client implementations, and driving continuous process improvement.

Leads the Trading and Risk Management data strategy, roadmap, information architecture, and execution. Builds governed, reusable data products and AI-ready foundations while guiding data engineering, platform, pipeline, modeling, integration, security, and governance decisions. Partners with trading, risk, operations, and technology leaders to prioritize work and deliver measurable outcomes. Develops data capabilities, coaches teams, and ensures scalable, secure, observable, and resilient solutions.

Build and maintain Databricks data pipelines and reusable models for Go product analytics. Define metrics, improve event logging, connect product usage with customer data, and support adoption and growth analysis. Ensure data quality through testing, monitoring, troubleshooting, and documentation. Optimize pipeline performance and costs while collaborating with Product, Engineering, and Data Science. Contribute dashboards and analyses that support product and business decisions.

Designs and maintains scalable data pipelines and infrastructure, establishes data governance and quality standards, and drives technical decisions across Headway’s data platform. Partners with Product, Engineering, Analytics, Data Science, Infrastructure, Finance, and Insurance Systems to improve architecture, performance, reliability, security, and AI-readiness. Ensures data is complete, traceable, trustworthy, and suitable for powering internal tools and AI-driven insights.

Lead the architecture and development of Vercel’s financial data platform supporting revenue recognition, consumption-based billing, forecasting, reporting, and compliance. Build reliable batch and real-time pipelines using Kafka, ClickHouse, Tinybird, and Snowflake; ensure data governance, lineage, auditability, and accuracy; partner with Finance, Accounting, RevOps, Security, and Audit; drive architecture and roadmap decisions; and mentor engineers.

Develops and supports business intelligence dashboards, metrics, reports, visualizations, and information models. Translates stakeholder requirements into scalable analytics solutions using SQL, programming, and BI tools. Partners with technical and business teams to define KPIs, validate data, document metric logic, troubleshoot existing solutions, and improve operational decision-making. The role is fully onsite in Hazelwood, Missouri and requires an active U.S. Secret clearance.

Migrates customer data from legacy and competitor systems into SaaS products using SQL-based tools. Performs extraction, transformation, cleanup, validation, auditing, data mapping, and quality assurance. Develops repeatable scripts and workflows, collaborates with customers and cross-functional teams, supports testing and defect resolution, and documents migration processes. The role increasingly uses BigQuery, cloud platforms, automation, and intelligent tools while supporting global delivery across regions and time zones.

Partners with stakeholders to define analytics requirements, analyze complex data, build forecasting models, evaluate campaigns, and develop internal and external dashboards. Uses SQL and multiple data platforms to uncover business insights, identify drivers, and support data-driven decisions. Presents findings through clear narratives and visualizations while promoting data-driven collaboration and maintaining reporting solutions.

Develop and maintain interactive dashboards, reports, scorecards, data models, and visual analytics solutions for a U.S. Navy weapon system program. Connect and optimize diverse data sources, implement calculations and row-level security, manage refreshes and data quality, document data lineage, and translate complex datasets into actionable visual narratives for technical and executive stakeholders.