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Lean Layer
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Senior Business Analyst

Lean Layer
United StatesUnited States
Contract
Not Disclosed
Senior-Level

Job Description

Key Skills Required

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Business AnalyticsBI ToolsSalesforcePrivate Equity

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Lean Layer, the #1 Rated RevOps Agency on G2, is expanding its consulting team and seeks a Senior Business Analyst to lead the slide-grade analytics layer of client engagements.

The role involves transforming Salesforce pipeline data and BI tool outputs into clear, board-grade deliverables for private equity (PE) sponsors and portfolio company executives. The Senior Business Analyst ensures decks, commentary, and presentations are causal, polished, and PE-ready.

Collaborating closely with Engagement Managers and RevOps BI Architects, this position focuses on translating data into high-quality slide products and intuitive executive narratives.

The ideal candidate combines strong slide craft with a deep understanding of go-to-market analytics, executive storytelling, and PE-standard reporting, ensuring consistency across engagements and stakeholders.

What We're Looking For

  • Enjoys building clean, board-grade slide deliverables
  • Passionate about making data understandable for PE sponsors and C-suite executives
  • Possesses strong attention to detail and output consistency
  • Understands the operational needs of revenue teams and PE deal cycles
  • Balances analytical rigor with clarity and narrative
  • Thrives in environments where they own and improve deliverables across multiple engagements over time

Key Responsibilities

Slide Craft & Deck Ownership:

  • Build slide-grade analytics from Salesforce pipeline data and Power BI outputs
  • Write action titles and causal commentary; walk PE deal teams through results
  • Build modular, reusable templates for portfolio company CFOs to refresh without ongoing support
  • Cascade real-time feedback from PE sponsors during board preparation

Go-to-Market Analytics & Storytelling:

  • Attribute pipeline variance to specific deals, segments, or process changes
  • Translate BI visuals and Salesforce data into executive-facing narratives
  • Produce pipeline, funnel, and revenue analytics commentary for board and executive audiences
  • Ensure every deck answers meaningful business questions beyond data display

Client Enablement:

  • Train in-house teams to become self-sufficient
  • Build deliverables that outlive the engagement
  • Document client-specific glossaries and reporting conventions

Required Qualifications

  • 4–7 years of experience in management consulting, revenue operations, PE portfolio operations, or analytics consulting
  • Demonstrated slide craft: action titles, pyramid principle structure, board-pack fluency
  • Go-to-market analytics literacy: ACV, TCV, coverage, slippage, and win rate as working concepts
  • Experience reading Salesforce pipeline data independently
  • Ability to translate complex data into clear executive narratives
  • Experience presenting to a CCO, CFO, or PE deal team
  • Proven ownership of a board-grade deliverable end-to-end (as the person who held the pen)
  • Strong attention to detail; a typo in the application is a filter, not a footnote

Preferred Experience

  • Consulting pedigree from firms like McKinsey, Strategy&, Bain, BCG, Monitor Deloitte, or EY-Parthenon
  • dbt or modern data stack literacy
  • Strong experience with BI tools such as Looker, Power BI, Tableau, Sigma, Mode, or Domo

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Lean Layer (operating at leanlayer.com) is a revenue operations (RevOps) agency engineered for data-driven decision-making in modern business. Founded in 2019 and headquartered in New York, NY, Lean Layer specializes in transforming how revenue teams leverage business intelligence and AI to enhance visibility and efficiency. Unlike traditional consulting firms that offer fragmented services, Lean Layer integrates AI-driven tools, apps, and automated agents to streamline data workflows at scale. Under the hood, the platform combines AI-driven analytics with customizable deployment frameworks, enabling rapid integration of skills and agents tailored to specific revenue challenges. This allows revenue leaders to achieve better data accuracy, faster insights, and operational agility without excessive manual effort. While specific funding details are not publicly disclosed, the company has positioned itself as a top-rated RevOps service provider on platforms like G2, catering to enterprises seeking scalable, AI-powered solutions.

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