Strategic Finance Associate

Enboarder; New York (NY); On-site; USD 75,000 - 100,000; Full time

Job summary

Enboarder is hiring a Strategic Finance Associate to support the finance function at Intelligems, which plays a critical role in decision making through financial analysis and reporting.

This unique role involves executing monthly financial operations, maintaining dashboards, and ensuring data accuracy while leveraging AI tools for operational improvements. Ideal candidates will have 1-4 years in finance, strong Excel skills, and a curiosity about data systems.

Qualifications

• Strong Excel skills to build financial models from scratch.
• Genuinely analytical, with attention to data accuracy.
• Curious about data systems and their workings.
• Detail-oriented, ensuring accuracy in recurring work.
• Low ego with a high sense of ownership.

Responsibilities

• Execute monthly close processes and financial reviews.
• Prepare financial packages for leadership and partners.
• Maintain and evolve business dashboards for reporting.
• Act as a central data resource for other teams.
• Identify workflows for AI tools implementation.

Skills

Strong Excel skills

Analytical thinking

Curiosity about data systems

Detail-oriented and reliable

Ownership mentality

Education

1–4 years in finance (banking, PE, FP&A)

Tools

SQL

Tableau

Job description

About the Role

We're hiring a Strategic Finance Associate to join Intelligems' finance function and help build it. This is the second finance hire at the company, sitting directly alongside the Head of Strategic Finance and touching everything from monthly close to board prep to the data infrastructure that powers how we understand and operate the business.

This is not a typical finance role. You won't be handed a pre-built set of spreadsheets to maintain quarter over quarter. Intelligems treats data as a competitive advantage — financial and operational metrics flow from Snowflake through into Tableau, HubSpot and other tools — and the analysis that comes out of this team lands directly with the founders and shapes real decisions. There are no layers between the work you do and the people acting on it.

You’ll start by owning the recurring finance operations. Over time, the expectation is that you grow into deeper work: understanding how data is modeled and structured, serving as the central source of truth for metrics across the business, and producing the proactive analysis that drives company strategy. The ceiling here is high, and deliberately so.

We’re looking for someone who wants to understand how the numbers are built, not just what they say.

What You’ll Do

• Recurring Finance Operations
  • Execute monthly close in coordination with our bookkeeping partner — categorizing transactions, reviewing financials, and ensuring everything ties and makes sense.
  • Prepare and distribute monthly financial packages to founders, function leaders, and banking partners.
  • Run monthly commissions — pulling deal data, reviewing for accuracy, coordinating payout.
  • Own quarterly board deck financials and support fundraising preparation as needed.
• Reporting & Tableau
  • Maintain and evolve existing dashboards as the business changes and new questions surface.
  • Build new views when leadership needs to see something we haven't measured before.
  • Be the person who can take a business question and turn it into a clear, reliable, well-structured answer.
• Act as the Company's Data Backbone
  • Act as the central resource for data across Sales, Marketing, Customer Success, and more — fielding requests, maintaining consistency, and making sure the right people have the right numbers.
  • When a team is building something new — a health score, a dashboard, a new performance metric — you’re in the room helping define what it should measure, where the data comes from, and whether it's being used correctly.
  • Develop fluency in how our financial and operational data is structured in Snowflake and dbt, and grow into having real input on how new metrics get defined and modeled as the company scales.
• Build Leverage Through AI
  • Help evaluate, implement, and maintain AI tools and agents that amplify what our team can do.
  • Ensure the data that flows into AI systems is accurate, well-structured, and consistently defined — because the quality of the output depends entirely on the quality of the input.
  • Identify workflows across finance and GTM operations where automation can improve speed, accuracy, or insight.
  • Stay current with the tools that are changing how finance and ops teams work — and bring that knowledge back to the team.

Who You Are

• Strong Excel skills — comfortable building financial models from scratch, not just editing them.
• Genuinely analytical — you think carefully about what data means and where it might be wrong before putting it in front of others.
• Curious about how data systems work — you want to understand where numbers come from, not just what they are.
• Detail-oriented and reliable — the recurring work here requires consistency and accuracy, and you take pride in both.
• Low ego, high ownership — equally comfortable cleaning up a messy reconciliation as presenting analysis to the founders.

Backgrounds We're Excited About

• 1–4 years in finance — investment banking, PE, FP&A, corporate finance, Big 4, consulting, or startup finance.
• Familiarity with SaaS metrics (MRR, retention, churn, NDR) is a strong plus.
• Prior exposure to SQL, Tableau, or modern data tools — or a demonstrated ability to pick up technical skills quickly.
• Comfortable in ambiguity and figuring things out without a lot of hand-holding.

Why This Role Matters

The finance function here doesn't just report on what happened; it maintains the data layer the whole company relies on and helps every team make better decisions. The data infrastructure is still being shaped, the reporting is still being designed, and the analysis you produce will reach the founders and influence real decisions on pricing, customers, company strategy, and more. If you want to own something meaningful, learn a full data stack end-to-end, and grow alongside a company at an inflection point, this is the right seat.