Partnership Analytics Analyst
Summary
Analyze and report on broker/partner performance and marketplace trends for a fintech M&A platform, using SQL, dashboards, and AI-assisted coding to automate reporting and improve deal-matching.
About N5Deal
N5Deal is the first and largest M&A platform built specifically for the financial sector, connecting verified buyers, sellers, and brokers to trade licensed financial institutions — banks, EMIs, PSPs, MSOs, and crypto/stablecoin providers — across dozens of countries. We replace slow, consultant-driven M&A processes with a transparent digital marketplace, backed by AI-powered matching, KYF (Know-Your-Fintech) intelligence, and a growing network of broker and referral partners who source and close deals alongside our team.
The Role
We're hiring a Partnership Analytics Analyst to own the data behind our broker and partner network. You'll track how partners source and close deals, measure the health of our AI-driven deal-matching pipeline, and turn raw marketplace data into reporting the Partnerships and leadership teams can act on. A core part of this role is using Claude and Claude Code to build automations, scripts, and lightweight internal tools — we want someone who treats AI-assisted coding as a standard part of the analytics toolkit, not a novelty.
What You'll Do
Build and maintain dashboards and recurring reports tracking partner/broker performance: referrals, deal flow, conversion rates, and closed deal value.
Analyze marketplace data across listed assets (banks, EMIs, PSPs, MSOs, crypto licenses) to surface trends in demand, pricing, and conversion by jurisdiction and license type.
Monitor the performance of the AI Matching engine that connects buyers and sellers, and partner with Product/Engineering on improving match quality.
Use Claude Code to build internal automation scripts, data pipelines, and self-serve reporting tools that cut down manual analysis work.
Work with the Partnerships team to score and evaluate broker/partner performance, informing decisions on which relationships to expand, renegotiate, or wind down.
Track and reconcile partner referral and commission data across CRM, deal-pipeline, and finance systems.
Produce recurring (weekly/monthly) reporting on deal flow, partner contribution, and overall marketplace KPIs for leadership.
Field ad hoc data requests from Partnerships, Sales, and Leadership, translating raw platform data into clear, actionable insight.
Identify data-quality issues in the CRM/deal pipeline and work with Engineering to resolve them at the source.
Document and productionize analytics workflows so Partnerships and Finance can increasingly self-serve.
What We're Looking For
2-4+ years of experience in a data, business, or partnerships analytics role — ideally within fintech, marketplaces, or M&A/deal-flow environments.
Hands-on experience using Claude Code (or a comparable AI coding agent) to build scripts, automate reporting, or ship small internal tools. This is a core, not optional, part of the role.
Strong SQL skills and fluency in spreadsheet-based analysis (Excel/Google Sheets).
Experience building dashboards/reports with tools such as Looker, Metabase, or Google Data Studio.
Comfortable working with CRM and deal-pipeline data (e.g., HubSpot, Salesforce, Pipedrive, or similar).
Sharp attention to detail and comfort reconciling data across multiple systems.
Excellent written English and the ability to translate data into clear narratives for non-technical stakeholders.
Comfortable operating in a fast-paced, remote-first startup environment with evolving processes.
Nice to Have
Familiarity with fintech licensing and M&A concepts (EMI, PSP, MSO, banking licenses).
Python scripting experience for data automation beyond Claude Code-assisted workflows.
Prior experience working with broker, affiliate, or partner referral networks.
