Top Data & Analytics Jobs

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

Analyze supply chain and supplier performance data, build KPI dashboards and scorecards, support AS9100 documentation, drive process improvements, support supplier escalations and new product launch planning to improve efficiency, scalability, and cost.

Lead analysis and insights for sports game titles; translate product and business needs into actionable, data-driven recommendations; build reports and visualizations; develop scalable self-service tools; mentor analysts and partner with Product, Marketing, and Commercial teams to drive player and business outcomes.

Manage and analyze lease, facility, market, and branch performance data for a 1,000-plus-location retail real estate portfolio. Maintain accurate records, track leasing KPIs, forecast rent and operating expense changes, estimate disposition-related savings or revenue, and deliver recurring reports supporting strategic planning and decisions. Collaborate with brokerage, facilities, and business-line stakeholders. Advanced Excel and PowerPoint skills are expected; Accruent Lucernex and iOffice experience is a plus.

Analyze processes and operational data, gather and document business requirements, validate data, monitor KPIs, prepare reports and dashboards, recommend improvements, and support cross-functional implementation and project tracking.

Lead analytical work to monitor loan portfolio and originations, detect credit and underwriting issues, build multivariate statistical models, analyze funnels, quantify costs/benefits, present recommendations to executives, design monitoring and controls, and drive implementation using SQL, Python, Excel, AI tools, and financial/statistical techniques.

Design, build, and maintain a centralized data warehouse and analytics platform. Create scalable data models, ETL/ELT pipelines, and semantic layers. Improve data quality, governance, lineage, and accessibility. Partner cross-functionally to define metrics, enable self-service analytics, and standardize data models across products and teams.

Account Executives at LinkSquares manage the entire sales process, focusing on new customer acquisition through research, outreach, and closing. They prioritize teamwork, quotas, and deadlines while driving business opportunities in a collaborative culture.

Lead pricing, yield management, and global incentive programs for Snap's advertising inventory. Analyze demand, sell-through, pacing, and market signals to recommend revenue-maximizing actions; monitor inventory and delivery trends; design and review incentive requests; build operational efficiencies; extract and present data-driven insights; triage complex sales issues and partner cross-functionally with Sales, Product, Marketing, and Finance.

Support product managers and tech leads by defining backtesting and validation plans, performing data analysis and validation for client deployments, improving data flows and operations, and conducting financial securities research and modeling (regression, simulations, portfolio risk analytics).