Business insight leader, (us shift) | remote

At Birdeye, we empower businesses to attract, engage, and retain customers by listening to feedback and turning it into growth opportunities. To take this mission further, we’re looking for a Business Insights Leader who will build the future of data-driven decision-making across our global Marketing and Sales organization.This is a high-impact, high-visibility role where you will own analytics, forecasting, and advanced modeling to optimize revenue growth, marketing efficiency, and pipeline strategy. You will work closely with our global leadership team, aligning to US working hours, and play a pivotal role in shaping how Birdeye grows worldwide.What You’ll DoData Strategy & ArchitectureDefine and implement a global analytics ecosystem (data ingestion → warehousing → modeling → visualization → governance).Partner with engineering to enhance data pipelines and marts in Snowflake / SQL.Establish data governance standards for accuracy and consistency across reports.Marketing Funnel & Revenue InsightsOwn end-to-end funnel reporting : lead gen, pipeline velocity, CAC, ROAS, conversion rates, and payback periods.Identify inefficiencies in the funnel and design data-backed solutions with Marketing & Sales leadership.Continuously measure campaign ROI, connecting top-of-funnel spend to bottom-line revenue.Forecasting & Predictive ModelingLead global forecasting processes, ensuring accuracy in pipeline and revenue projections.Build ML / statistical models to predict ROI, pipeline creation, and campaign outcomes.Run scenario simulations to guide marketing spend allocation and growth vs. efficiency trade-offs.Applied AI / ML & Advanced AnalyticsApply ML / AI frameworks to optimize lead scoring, churn prediction, and customer lifetime value (LTV).Automate insights delivery using Python, SQL, and AI APIs (Open AI, Google Gemini, etc.).Explore advanced use cases : attribution modeling, sentiment analysis, hyper-personalization.Business Partnering & LeadershipAct as the analytical partner to global Marketing & Sales leadership.Present insights in executive-ready, narrative-driven formats.Collaborate cross-functionally with Finance, Product, and Customer Success to create a holistic growth view.Visualization & Self-Serve AnalyticsLead the design of real-time executive dashboards (Tableau, Power BI).Build scalable, reusable BI assets and empower teams with self-serve analytics.Partner with BI engineering to ensure dashboard optimization and performance.Ad-Hoc & Strategic AnalyticsConduct deep-dive analyses on campaign effectiveness, regional pipeline trends, and sales productivity.Deliver rapid-turnaround insights to support C-suite decisions.Create benchmarking frameworks against Saa S industry best practices.What Will You Bring : Technical Skills8+ years in Business Insights, Marketing Analytics, GTM Analytics, or Marketing Operations.Advanced proficiency in : SQL & Python for data manipulation, automation, and modeling.BI & Visualization Tools : Tableau, Power BI (Sigma BI a plus).CRM Platforms : Salesforce (campaign analytics, pipeline management).Familiarity with Mar Tech stacks, attribution tools, and marketing automation platforms.Experience applying ML / AI for marketing, including lead scoring, churn modeling, and campaign ROI prediction.Ability to integrate and analyze large-scale, multi-source datasets across Sales, Marketing, Finance, and Product systems.Business AcumenStrong understanding of Saa S GTM models, marketing funnels, CAC / LTV frameworks, and revenue attribution.Experience designing and measuring ROI, CAC payback, and LTV models.Familiarity with working in US-based multinational Saa S or B2 B organizations preferred.Leadership & InfluenceAbility to translate complex data into strategic, executive-ready narratives.Proven track record of cross-functional stakeholder management across geographies and cultures.Experience influencing decision-making at both operational and strategic levels.Personal AttributesResults-oriented, detail-driven, and highly analytical.Thrives in fast-paced, high-growth environments with shifting priorities.Self-motivated problem-solver with a bias toward action and automation.Excellent verbal and written communication skills, with a talent for storytelling with data.