Top Data & Analytics Jobs

Join SignalFire's talent network to be considered for data engineering roles at VC-backed startups. Responsibilities include designing and maintaining batch and real-time pipelines, building data models and cloud data platforms, enabling analytics and ML pipelines, ensuring data quality/observability and governance, integrating varied data sources, improving performance and cost efficiency, and partnering cross-functionally to define data architecture and tooling.

Lead administration of State of Texas event reimbursement programs (ETF, MERP) and manage end-to-end compliance, reporting, and audit support. Provide enterprise analytics, BI dashboards, financial analysis, vendor program support, and strategic commercial recommendations to drive revenue and operational efficiency across departments.

Design, develop, and maintain Power BI dashboards and KPI frameworks; build scalable reporting and analytics solutions; integrate multiple data sources; develop and optimize SQL queries; automate reporting processes; perform deep-dive analyses and deliver executive-level reporting; partner with stakeholders and data engineering to improve data quality and support forecasting and AI-enabled analytics.

The Biostatistician/Data Scientist supports community-engaged research by performing data analysis, developing statistical plans, coding, and collaborating with researchers to ensure data integrity and compliance.

Support People team by collecting, cleaning, analyzing workforce data, building reports and dashboards (Workday, R, Tableau), researching best practices, responding to ad hoc requests, documenting processes, and presenting insights on headcount, turnover, engagement, and model/data quality to inform people strategies.

Lead design and buildout of GTM analytics: create Salesforce data model, warehouse, pipelines, attribution, account/lead lifecycles, dashboards, and partner with sales and marketing to improve performance.

Design and govern firmwide data architecture, assess current-state systems, build scalable lakehouse and ETL/ELT pipelines, enforce data governance/quality/compliance, partner with leadership and security, and mentor data teams to support analytics, reporting, automation, and AI initiatives.

Senior Data Analyst cleans and prepares data, builds reports and dashboards using Power Platform, Excel, DAX, M, R or Python, develops data models and predictive/ML solutions, supports client/internal projects, and may lead others or assist business development.

Design and build scalable backend services and data ingestion pipelines, perform data modeling and large-file processing, develop reusable APIs, and optimize systems for speed and scalability while collaborating in an Agile team.

The Senior Data Scientist will analyze and optimize marketing funnels, build statistical models, conduct experiments, collaborate with teams, and mentor junior members.