Consultant, Special Projects

Lean Layer; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Lean Layer LLC is a RevOps consultancy helping private equity sponsors and portfolio executives answer high‑stakes questions with bespoke data models, board narratives, and IPO‑readiness materials, built from scratch for every engagement. We turn ambiguous questions into clear findings, work hands‑on with data, and deliver dashboards, models and documentation that executives act on.

This is a fast-paced role where you’ll learn new platforms and industries mid‑engagement to keep clients moving

Qualifications

• 3+ years in consulting, data and analytics, revenue or business operations, finance, PE portfolio operations, or building a company.
• Real depth in one of: data and BI; GTM operations; strategy and executive storytelling; finance and governance; building from zero.
• Ownership of a deliverable end to end, as the person who held the pen.
• Comfort presenting to, and pushing back on, senior executives.
• Attention to detail; a typo in the application is a filter, not a footnote.

Responsibilities

• Turn ambiguous questions from PE sponsors and C-level executives into clear answers.
• Get hands-on with the data and stand behind every number.
• Build board decks, models, dashboards and documentation executives act on.
• Learn new platforms, industries and domains mid-engagement.
• Present to executives, deal teams and boards, and turn their feedback around fast.
• Leave clients self-sufficient.

Skills

Consulting experience

Data analytics

Revenue operations

Finance experience

Executive storytelling

Tools

SQL

dbt

Databricks

Snowflake

Power BI

Looker

Tableau

Salesforce data

HubSpot data

Job description

Position Overview

Lean Layer is the #1 Rated RevOps Agency on G2. Our Special Projects team works directly with private equity sponsors and portfolio company executives on their highest-stakes questions: what is really happening in the business, what the data says, and what the board should decide. Every engagement is built from scratch. One month it is a revenue data model; the next, a board narrative for a PE deal team or IPO-readiness documentation.

We don't hire for a lane. We hire people who learn fast, own the outcome and don't settle for good.

Where You Might Come From

• Data builder: analytics engineer, data engineer or BI architect


• Revenue or business operator: RevOps, sales ops, BizOps or business analyst


• Strategy consultant: strategy firm or PE value-creation team


• Executive operator: led finance, operations or GTM in a PE-backed or pre-IPO company


• Founder or builder: built a company, product or tool from zero

Wherever you start, you'll learn the rest here.

What You'll Do

• Turn ambiguous questions from PE sponsors and C-level executives into clear answers


• Get hands-on with the data and stand behind every number


• Build board decks, models, dashboards and documentation executives act on


• Learn new platforms, industries and domains mid-engagement


• Present to executives, deal teams and boards, and turn their feedback around fast


• Leave clients self-sufficient

What We Hire For

• You learn fast: you've picked up a tool or domain from zero and delivered with it


• You don't settle for good: you catch the error before the client does


• You own the outcome: no task list needed, blocks flagged the same day


• You know what matters: you find the part of the problem that answers the question


• You're coachable: your next version shows the feedback


• You stay steady: shifting priorities and senior audiences don't throw you

Required Qualifications

• 3+ years in consulting, data and analytics, revenue or business operations, finance, PE portfolio operations, or building a company


• Real depth in one of: data and BI; GTM operations; strategy and executive storytelling; finance and governance; building from zero


• Ownership of a deliverable end to end, as the person who held the pen


• Comfort presenting to, and pushing back on, senior executives


• Attention to detail; a typo in the application is a filter, not a footnote

Preferred Experience

• PE-backed companies, board reporting or deal cycles


• SQL, dbt, Databricks or Snowflake; Power BI, Looker or Tableau


• Salesforce or HubSpot data


• Daily use of AI tools to build, analyze and write

The pace is fast, scope changes weekly and we measure outcomes, not hours. If you want a predictable week, this isn't the role.

Visa Sponsorship

Please note that we are not currently able to offer US visa sponsorship or transfer for this position.

For Canadian and Brazilian Residents

We also invite you to apply for this position but please note that at this time we can only hire those outside of the United States as full-time contractors. If you have any questions about this setup, please don't hesitate to reach out.