• We're hiring a GTM-focused finance partner to help scale a fast-growing B2B SaaS + Payments business. • You'll work across multi-product subscriptions, payments, and usage-based revenue—plus a meaningful slice of corporate G&A. • Build monthly ARR/bookings forecasts by cohort, product, motion, and payments/usage mix. • Partner with Accounting on monthly P&L variance reviews (actuals vs. budget; forecast vs. actuals). • Own customer acquisition and lifetime value economics across GTM motions. • Work with Sales/Marketing/RevOps to evaluate pricing, packaging, and usage meters for revenue and margin impact. • Model take rate to net revenue (interchange, assessments, refunds, fraud/chargebacks). • Stand up a clean star-schema metrics layer (bookings/ARR, pipeline, usage, TPV) with conformed dimensions. • Jump on time-sensitive analyses (pricing tests, channel CAC readouts, board asks, data quality investigations) and spin up decision-ready takeaways fast.

• Study and analyze the company’s current financial position. • Identify financial weaknesses and operational and financing risks. • Analyze existing and potential investment opportunities. • Evaluate new acquisitions from a financial and investment perspective. • Prepare and analyze financial models (Cash Flow, IRR, ROI, Sensitivity Analysis). • Propose suitable financing structures (equity, bank financing, partnerships). • Improve cash flow management and maximize profitability. • Provide strategic recommendations to senior management based on clear financial analysis. • Support development and expansion decisions from a financial and investment perspective.

• Prepare and update accounting records in Odoo before accountant review • Organize and verify invoices, expenses, delivery notes, and POs • Follow up on missing financial documents and maintain basic trackers • Act as the link between operations and finance to keep data accurate and timely • Collect daily/weekly updates and track tasks in Microsoft Planner • Monitor deadlines, delayed items, and follow up until closure • Update selected CRM data and generate simple activity/delay reports • Schedule and coordinate meetings; take notes and track action items • Manage the CEO’s calendar, advise on availability, and help prioritize meetings • Prepare brief summaries, task lists, and simple internal documents as needed

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves owning the marketing measurement foundation end-to-end, linking various digital channels to revenue data in BigQuery. - Own marketing measurement end-to-end - Define and maintain event taxonomy, UTMs, and conversion definitions (lead, purchase, upgrades, refunds/chargebacks where relevant) - Own tagging and tracking via Google Tag Manager - Own analytics platforms such as GA4 (and its BigQuery data), Hyros Analytics, and platforms such as Intercom - Implement and maintain Google Ads and Meta Ads conversion tracking (pixel, CAPI where applicable), deduplication, and diagnostics - Build and maintain segments for activation, retargeting, and in-platform communications - Build and maintain the marketing analytics foundation - Work directly in a data warehouse (BigQuery or similar) to model and prepare marketing datasets - Blend and reconcile data across GA4, Hyros Analytics, ad platforms, Intercom, platform analytics, and payment gateways/processors to connect traffic/spend > conversions > revenue - Establish a “Single Source of Truth” for core marketing KPIs (CAC, LTV where available, payback, channel ROI, funnel conversion rates) - Analyze various attribution models to provide insights on channel contribution from Top of Funnel to Bottom of Funnel marketing - Build and maintain Tableau and Data Studio dashboards for daily/weekly/monthly performance monitoring - Create clear, decision-ready reporting for paid, SEO, email, affiliate, social, lifecycle signals, and funnel health - Proactively surface anomalies, tracking breaks, and performance inflections (before stakeholders ask) - Implement automated checks where possible (missing UTMs, conversion drops, source/medium drift, broken tags, spend mismatches) - Document systems, definitions, and workflows so the team is not dependent on tribal knowledge - Partner with internal stakeholders to ensure measurement choices align with compliance and privacy constraints (consent, retention, platform policies) - Translate data into clear narratives and recommendations (what changed, why it matters, what to do next) - Be comfortable delivering the unvarnished truth when performance is weak or tracking is flawed Qualifications - 4+ years in marketing ops, marketing analytics, growth analytics, or a similar role where you owned marketing operations (not just created reports) - Strong SQL skills and comfort working directly in a warehouse environment (BigQuery strongly preferred) - Hands-on experience with GA4, Google Tag Manager, Tableau or Power BI (Hyros or similar analytics platform is a bonus) - Hands-on implementation experience for Google Ads conversion tracking and enhanced conversions (as applicable) - Meta Pixel + Meta Conversions API (or equivalent server-side approach) and event deduplication - Audience creation and management in Google and Meta - Strong dashboarding experience in Tableau (preferred) or Power BI - Experience stitching marketing data to revenue data: Payment gateway / processor data integration experience (example: Stripe or similar) - Strong measurement rigor: Attribution basics, channel-level ROI, funnel analytics, cohort thinking, and the ability to explain trade-offs clearly Requirements - Self-starter who proactively hunts for gaps and issues - Reliable communicator who is present and engaged - Comfortable with ambiguity, shifting priorities, and startup pace Nice to Have - Intercom data extraction and analysis (or similar customer messaging/support platforms) - Experience integrating additional sources (affiliate platforms, CRM/CDP tools, basic ETL connectors, platform APIs) - dbt, lightweight data modeling discipline, or Python for analysis and automation - Server-side GTM or broader server-side tracking approaches - Experimentation measurement (A/B testing, holdouts, incrementality thinking) - Experience in regulated categories (fintech, trading, gambling-adjacent policy environments)