Nivoda - FP&A Associate
Requirements
• Bachelor's degree in Finance, Economics, Engineering, Mathematics or a related quantitative field. • 2-4 years of experience in investment banking, private equity, venture capital, or a similar corporate finance role, top-tier strategy consultancy with strong financial modelling exposure. • Strong financial modelling and Excel skills, including cohort analysis, three-statement modelling, and unit economics work. • Solid grasp of how operational drivers flow through P&L, balance sheet and cash flow, and the ability to translate that into clear, decision-ready output. • An interest in moving to the operator side and building inside a high-growth marketplace, with the discipline to learn the business from the inside out. • Comfort with AI-native ways of working, or the curiosity to learn about using Anthropic’s Claude platform as part of your daily workflow. • Exposure to B2B marketplaces, fintech, or payments-heavy businesses. • Hands-on experience with Snowflake, NetSuite, ThoughtSpot, or comparable data, ERP and BI tools. • Experience working alongside Go-to-Market teams (Sales, Marketing, RevOps) on commercial analytics or planning. • Strong analytical and quantitative skills; able to dissect complex data and produce clear, practical insight that travels well across audiences, from analyst to board. • High attention to detail, with a strong sense of ownership and accountability for the numbers you put in front of leadership. • Ability to connect operational reality to the financials and clearly articulate the "so what" to Operators and to the Board. • Strong communication skills; able to work cross-functionally with GTM, Operations, Accounting, Treasury and the Exec team. • Comfortable operating in a fast-paced, scaling environment with evolving processes and systems, and bias for building rather than waiting. • Integrity and sound judgement in handling confidential financial and commercial information.
Responsibilities
• 1. Cohort Modelling & Growth Analytics: Build and maintain cohort models across customers, suppliers, product lines (jewellery, diamonds, gemstones) and regions • Decompose growth into rate and base effects (new vs. existing, price vs. volume, mix shifts, FX) so we know which lever is doing the work. • Produce the analytics that determine where we lean in, where we cut, and where we wait. • 2. GTM Partnership & Commercial Efficiency: Partner with Sales, Account Management, Marketing and RevOps to build the operating cadence: pipeline math, conversion rates, ramp curves, productivity per rep, CAC and LTV by segment. • Identify where the GTM machine is leaking efficiency (channel mix, segment ROI, discounting, comp plan distortions, hand-off points) and work with the team to fix it. • Build the business cases for hiring, territory expansion, TAM/SAM/SOM, pricing changes and new GTM motions, and stay close enough to the team to know if the assumptions are holding. • 3. Core Reporting & Cadence: In partnership with / by leveraging the Finance teams AI agents, own the core management reporting pack: recurring KPI read-outs, monthly P&L and KPI commentary, and quarterly business reviews. Make sure they land on time, every time. • Build and maintain the company-wide reporting that goes to the team in our all-hands and async updates, so everyone has a shared view of how we are doing. • Co-own the board reporting cycle with the rest of FP&A: The deck, the data behind it, the commentary, and the running narrative quarter to quarter. • 4. Forecasting, Planning & Budget Cycles: Maintain and improve our short-term forecasts (monthly re-forecasts) and the annual operating plan, in partnership with department leads. • Translate operational assumptions into a coherent P&L, balance sheet and cash flow view, and pressure-test how the assumptions hold up against actuals. • Run scenario and sensitivity analysis so leadership understands the path, the downside, and the unlock. • 5. Decision Support & Business Cases: Be the finance partner across cross-functional projects (pricing, supplier terms, market expansion, product launches, hiring plans), bringing rigour without slowing the team down. • Build the models that turn a debate into a decision, and stay close enough to the work to know whether the model is reflecting reality. • 6. AI-Native Tooling, Data & Process Improvement: Use Anthropic’s Claude platform (Claude Code, Claude Cowork, Claude Design, etc) as your default working environment for analysis, modelling and reporting automation. • Help raise the bar on data quality and consistency across Snowflake, NetSuite and ThoughtSpot, so the same number means the same thing wherever you find it. • Identify opportunities to automate recurring reporting and analysis through AI-native workflows, and contribute to the playbooks the rest of the function uses.
Benefits
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