Nivoda

Data Analyst

• Turn GTM Data Into Clarity
• Build visibility across the entire revenue funnel.
• Own core GTM dashboards across lead → opportunity → revenue → retention.
• Track funnel performance, conversion rates, sales velocity, pipeline health, and forecast accuracy.
• Proactively surface insights;
• Support Funnel Optimisation: Help make the revenue funnel perform like a machine.
• Analyse funnel drop-offs, slowdowns, and inconsistencies across regions and segments.
• Partner with RevOps to measure the impact of new lead routing, scoring, automation, and experiments.
• Forecasting & Performance Tracking: Support weekly, monthly, and quarterly forecasting alongside RevOps, Sales, and Finance.
• Track actuals vs forecast and help identify root causes of variance.
• Data, Systems & Foundations: Help scale clean, reliable GTM data.
• Work hands-on with CRM and GTM data to ensure accuracy, consistency, and usability.
• Maintain clear metric definitions and reporting logic as the business scales.
• Strategic & Ad-Hoc Analysis: Support high-impact GTM decisions.
• Build analyses for territory planning, segmentation, capacity modeling, and performance benchmarking.

GTM Data Analyst

Data Scientist

• Build the Pricing Intelligence System
• Create the analytical foundation that powers pricing decisions across the company.
• Develop frameworks and datasets that allow teams to understand price sensitivity, margin impact, and marketplace behaviour.
• Build visibility into how pricing performs across different product categories and services.
• Your impact: pricing becomes measurable and controllable rather than opaque.
• Design and Run Pricing Experiments
• Introduce experimentation into pricing decisions.
• Design and analyse experiments that measure elasticity, conversion impact, and behavioural changes across pricing structures.
• Work with Product and Engineering across all domains to implement safe and scalable experimentation.
• Your impact: pricing decisions are grounded in evidence.
• Connect Pricing Across the Platform
• Ensure pricing decisions across teams work together.
• Work with leaders across Marketplace, Fulfilment, and Fintech to identify inconsistencies, conflicts, and opportunities.
• Create a shared framework that helps teams understand trade offs between margin, liquidity, and growth.
• Your impact: pricing operates as a unified system rather than disconnected decisions.
• Build the Foundations of a Pricing Engine
• Partner with Data and Engineering to move pricing logic into scalable systems.
• Define the models, signals, and infrastructure required for dynamic or rules based pricing. Ensure pricing inputs can be integrated into the product platform over time.
• Your impact: pricing becomes scalable as the platform grows.
• Turn Data Into Clear Commercial Insight
• Translate complex analysis into decisions leaders can act on.
• Provide clear insight into pricing behaviour across the platform.
• Help teams understand the trade offs between margin, liquidity, growth, and customer behaviour.
• Your impact: pricing becomes a strategic lever for the business.

Data Scientist – Pricing

Product Marketing

• Own category messaging & positioning: Clearly explain each jewellery category, including margins, customer use cases, and where it fits in a retailer’s business. Build the retailer story for engagement rings, wedding bands, fashion, fine, gemstone lines, and custom manufacturing.
• Build the cross-sell engine: Design the full experience that moves retailers from loose stones into complete jewelry. Create bundles, companion sets, attach strategies, and decision tools that make category expansion natural and profitable.
• Partner with sales enablement for jewellery adoption: Partner with Sales Enablement to provide AEs and AMs with battlecards, scripts, demo flows, objection handling, comparison sheets, and playbooks that help them land and expand by category.
• Lead category launches & activation: Own launch plans for new jewellery categories. Partner with Category Management on pricing, assortment, and positioning. Build campaigns, training, and education that drive first-time and repeat purchases.
• Drive ARPU growth & share of wallet: Build programs, guides, calculators, and content that help retailers expand their assortment and monthly spend. Collaborate with Sales to identify the next category each retailer should adopt.
• Produce high-value retailer education: Create content for Nivoda University: how to sell engagement rings, design a wedding band upsell, add fashion to their website, or build a gemstone story.
• Use a data-driven approach: Running structured experiments, testing assumptions, and using insights to shape category adoption and cross-sell performance.
• Clarify Nivoda’s automated workflows: Turn advanced, AI-powered features into simple, intuitive steps retailers can follow. Make the entire journey from design to manufacturing effortless, and show how Nivoda’s automation helps retailers produce more jewellery with less manual work and fewer operational bottlenecks.

Senior Product Marketing Manager

• Turn GTM Data Into Clarity
• Support Funnel Optimisation
• Forecasting & Performance Tracking
• Data, Systems & Foundations
• Strategic & Ad-Hoc Analysis