Data Analyst

About Us 

Dividandy is a skill-based gaming company merging fintech, gaming, and competition. Players enter tournaments, compete using trading skills, and win real rewards. We move fast, experiment constantly, and rely on a clean, reliable data and CRM stack to scale intelligently. 

We’re looking for a Marketing Data Analyst who loves pipelines, pixels, and dashboards as much as other people love headlines and creatives. 

Role Overview 

This is a technical marketing role at the heart of our growth machine. 

The Marketing analyst (Ops, CRM & BI) owns the measurement and automation backbone that connects our ads, website, app, monetization and CRM into a single source of truth. 

You build the machine. You own the truth.

If it’s not tracked properly, in your world it didn’t happen. 

You’ll implement GA4, server-side tracking, pixels, UTMs, event taxonomies, and cohort dashboards, while also supporting monetization, CRM,email and other touch point flows (including waitlists and double opt-in). You make sure the entire marketing team can trust the numbers they see and move faster because of you. 

Key Responsibilities 

Tracking, Measurement & Data Foundations 

• Implement, configure, and maintain GA4, server-side pixels, and UTM taxonomies to ensure complete and consistent tracking across all funnels.
• Define and manage event taxonomy (web + app) to serve acquisition, CRM, product, and BI needs. 
• Work closely with UA, Product, monetization teams to ensure event structures reflect business logic and user journeys.

Dashboards, Cohorts & BI Enablement 

• Set up and maintain cohort dashboards that show LTV, payback, retention, and many other KPIs. 
• Build and iterate dashboards in tools like Mixpanel / Looker / similar, enabling teams to self-serve insights. 
• Provide clear Go / No-Go signals for scaling based on actual cohort performance, not just top-funnel metrics. 
• Proactively raise red flags when KPIs deviate from expectations (drops, spikes, anomalies) and investigate root causes.
• Define health metrics and thresholds to monitor business performance on a daily/weekly basis.

Automation & Ops 

• Design and build automation flows using Make / Zapier, n8n (or similar) to eliminate manual, repetitive work. 
• Own the technical side of marketing ops: integrations between ad platforms, landing pages, product, CRM, and BI layers. 
• Continuously troubleshoot data discrepancies, broken links, and tracking gaps - and fix them fast. 

• CRM & Email Operations 
• Set up and manage email and CRM campaigns, especially around: Waitlist flows, Double opt-in logic, Onboarding and early engagement sequences 
• Collaborate with the CS & VIP, Monetization, and Product teams to ensure segmentation, triggers, and events are correctly wired into CRM journeys. 

Insights & Cross-Functional Support 

• Support UA, Product, Monetization, and Economy teams with ad-hoc analyses, tracking improvements, and data validations. 
• Translate raw data into clear, actionable insights and raise flags when something breaks or looks off. 
• Drive a culture of “measure everything, trust what’s measured” across the marketing organization. 

Who You Are

• Specialist / Analyst level with a strong technical backbone. 
• Technical Marketer: you’re more comfortable in SQL and event schemas than in copy docs. Code snippets don’t scare you. 
• Tool Agnostic: GA4, Mixpanel, HubSpot, Segment, Looker, Optimove, AppsFlyer, Zapier/Make - you don’t need them all on day one, but you pick up new tools fast. 
• Detail Freak: broken tracking, missing tags, and inconsistent UTMs genuinely bother you. 
• System Thinker: you see the whole funnel – from ad click to in-game event – and understand how data needs to flow through it. 
• Problem Solver: when numbers don’t match, you don’t guess – you debug.
• Business thinker - You understand the business through the data glasses and know what to recommend.
• Able to explain complex data clearly to non-technical stakeholders.

Requirements 

• 2–4+ years in marketing operations, marketing analytics, growth engineering, or data analytics, ideally in gaming, SaaS, or fintech. 
• Hands-on experience with GA4, tagging, pixels, and event-based tracking (web and/or app). 
• Strong SQL skills and comfort working with databases, BI tools, and cohort analysis.
• Experience with automation platforms (Make, Zapier, or similar) and integrating multiple tools together. 
• Solid understanding of UTM strategy, attribution, and multi-touch funnels. 
• Experience with CRM and email platforms (e.g., HubSpot, Klaviyo, Braze, Optimove, etc.). 
• Strong understanding of funnels, cohorts, and player lifecycle metrics.
• High ownership mindset: you don’t just report a problem - you trace it, understand it, and fix it. 

Why Join Us 

• Be the technical backbone of a modern, data-obsessed marketing team. 
• Directly influence how we measure performance, allocate budgets, and design growth loops. 
• Work closely with UA, Product, Data & BI, and Monetization - your work touches every key decision. 
• Help build the measurement and automation stack for a new category: skill-based investing games.