Business Insight Leader, (US SHIFT) | Remote

Birdeye

high-impact, high-visibility role

What You’ll Do

Data Strategy & Architecture

• Define 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 Insights

• Own 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 Modeling

• Lead 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 Analytics

• Apply ML/AI frameworks to optimize

  lead scoring, churn prediction, and customer lifetime value (LTV).

• Automate insights delivery using

  Python, SQL, and AI APIs (OpenAI, Google Gemini, etc.)

  .
• Explore advanced use cases: attribution modeling, sentiment analysis, hyper-personalization.

Business Partnering & Leadership

• Act 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 Analytics

• Lead 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 Analytics

• Conduct 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

  SaaS industry best practices.

What Will You Bring:

Technical Skills

• 8+ 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

  MarTech 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 Acumen

• Strong understanding of

  SaaS 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 SaaS or B2B organizations

  preferred.

Leadership & Influence

• Ability 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 Attributes

• Results-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

  .