Top Tech Jobs & Startup Jobs

Design and build data warehouse architecture, dimensional models, data marts, and transformation pipelines (dbt, Airflow, BigQuery). Partner with analysts, data scientists, and engineers to enable reporting in Looker, ensure data quality and reconciliation, and support cross-functional analytics needs across business teams.

Lead design, development, and deployment of predictive ML models and anomaly detection. Perform extensive EDA, feature engineering, model evaluation, A/B testing, and customer segmentation. Build monitoring and governance for models, collaborate with Product/Engineering/Marketing, and ensure scalable data pipelines and model integration to drive member acquisition, retention, and product optimization.

Design and implement internal controls across financial reporting, revenue, procurement, payroll, and access management. Build SOX-readiness roadmap and lead SOX 404 implementation. Manage external audit interactions, perform control testing and remediation, assess business processes, own risk assessments, support SOC 1/SOC 2 readiness, draft policies, support due diligence, and recommend scalable systems and tools.

Lead procurement strategy and vendor management: design and implement procurement processes and tools, negotiate contracts, establish vendor lifecycle and performance metrics, support vendor onboarding and offboarding, and partner with cross-functional stakeholders to drive cost efficiencies and mitigate risk.

Lead corporate FP&A: manage budgeting, forecasting, planning models and systems, and MBR/QBR cycles. Build and maintain enterprise FP&A processes and models, produce KPI reporting and variance analysis, support business development, capital markets, M&A and investor/board materials, collaborate with accounting and business unit finance, provide ad-hoc analysis, and oversee direct reports.

The Senior Data Analyst will own data models and drive analytical initiatives, ensuring data quality and reliability while providing insights to stakeholders. Responsibilities include managing dashboards and supporting the team with analytics.

The role demands a Senior Software Engineer skilled in backend development and ML, focusing on delivering ML solutions that address business challenges across various domains.

Lead and enhance the QA program for Risk Operations disputes, governing BPO partners, conducting QA and calibration, analyzing trends, reporting findings, supporting audits, and expanding QA coverage across non-disputes risk functions to ensure regulatory compliance with Reg E, Reg Z, and CFPB standards.

Lead design and delivery of scalable backend services and data-intensive applications. Own end-to-end features from discovery to launch, architect distributed systems for reliability and performance, mentor engineers, evolve engineering standards, and partner with product and data stakeholders to shape technical direction and roadmaps.

Contract Workforce Management analyst responsible for administering and optimizing Assembled, producing volume and staffing forecasts, building and refining agent schedules across channels, and monitoring/improving SLA performance both in real time and historically. Works independently with operations leadership to align schedules to demand and drive SLA improvements.