Head of Data Analytics

Role Overview

You’ll be thecustodian of truth at Vibecoderz. Every decision — from TutorAgent personalization to growth funnels — depends on the data pipelines, analytics frameworks, and event taxonomies you design.

This is not about reporting dashboards alone. This is about building adata foundation that fuels personalization, insights, and growth at scale. You’ll own theDeveloper Graph, Firestore events, Neo4j pipelines, and Amplitude/Mixpanel dashboards, and ensure everyone — from engineers to CMO — can trust the numbers they see.

Your mission is tomake data a first-class citizen across Vibecoderz: accessible, accurate, and actionable.

Key Responsibilities

1. Data Architecture & Pipelines

   • Design and own Vibecoderz’data stack: Firestore (events), Neo4j (Developer Graph), Redis (cache), BigQuery (analytics warehouse).

   • Buildreal-time pipelines from TutorAgent sessions to Developer Graph updates.

   • Ensuredata quality, lineage, and governance across all systems.

2. Analytics & Event Taxonomy

   • Define Vibecoderz’event schema (sign-ups, activation, Byte Course completions, artifact usage, retention markers).

   • Partner with PM/Head of Growth to implementcohort analysis, funnels, and churn prediction.

   • Enforce aconsistent taxonomy across product, marketing, and community data.

3. Personalization & Developer Graph

   • Architect and optimize theDeveloper Graph in Neo4j.

   • Design pipelines forreal-time knowledge updates and personalized course recommendations.

   • Partner with AI/Prompt Engineers to use graph data forcontext injection and personalization.

4. Growth & Retention Analytics

   • Provide the CMO/Head of Growth withconversion, retention, and LTV dashboards.

   • Run A/B test analysis with statistical rigor.

   • Measureengagement and learning outcomes for every course flow.

5. Team Leadership & Data Culture

   • Build and mentor adata team (data engineers, analysts, ML engineers).

   • Establishdata-driven culture across Vibecoderz: every decision tied to metrics.

   • Champion“single source of truth” dashboards for leadership and investors.

6. Compliance & Privacy

   • Ensure compliance withGDPR, SOC 2, and data privacy regulations.

   • Partner with Security & Compliance head ondata encryption and anonymization policies.

Success Metrics

90 Days (Probation):

• Define Vibecoderz’event taxonomy and implement tracking for 3 core flows (Text → Course, Voice Tutor, Mini-App).

• Deliver firstgrowth dashboard (activation, retention, conversion) in Amplitude/Mixpanel.

• Deploy Developer Graph MVP in Neo4j with sample learner profiles.

12 Months:

• Developer Graph fully poweringhyper-personalization in TutorAgent.

• Real-time pipelines handle100K+ DAUs with<1s latency for graph updates.

• Growth metrics tracked daily:LTV, churn, cohort retention, funnel drop-offs.

• Vibecoderz achievesdata-driven OKR execution with >80% adoption of analytics dashboards by leadership.

Must-Haves

• 10+ years in data engineering/analytics leadership atproduct-first companies.

• Deep expertise inevent-driven architecture, pipelines, and real-time analytics.

• Proven ability to scaledata systems to 100K+ DAUs.

• Hands-on withNeo4j (Graph DB), Firestore, Redis, BigQuery.

• Strong background incohort analysis, churn modeling, LTV/CAC analysis.

Nice-to-Haves

• Experience inEdTech or developer platforms.

• Contributions to open-source data tools or analytics frameworks.

• Prior founding data leader or startup scaling experience.

• Familiarity withAI-driven personalization and recommendation systems.

Tech Stack Visibility

• Data Sources: Firestore (events), GitHub, TutorAgent logs

• Graph DB: Neo4j Aura

• Pipelines: Pub/Sub, Cloud Tasks, Cloud Workflows

• Storage/Warehouse: BigQuery, Firestore, Redis

• Analytics: Amplitude, Mixpanel, GA4, custom dashboards

• Infra: GitHub Actions, Terraform, GCP

• Compliance: GDPR, SOC 2, ISO 27001

Assessment

Objective: Validate ability to designdata pipelines + analytics framework for Vibecoderz.

Assessment (3-Part):

1. Data Architecture Design (Written)

   • Draft adata architecture doc for Vibecoderz covering:

     • Event taxonomy for TutorAgent (session start, artifact generated, quiz taken).

     • Pipeline flow from Firestore → Pub/Sub → Neo4j → BigQuery.

     • Data governance policies (lineage, retention, anonymization).

2. Analytics Dashboard (Practical)

   • Build asample dashboard in Amplitude/Mixpanel/Looker showing:

     • Funnel: Sign-up → Course Start → Artifact Created → Certification.

     • Retention: 1-day, 7-day, 30-day.

     • Conversion: Free → Pro → Teams.

3. Coding Assessment

   • Implement aPython ETL pipeline that:

     • Listens to Pub/Sub events.

     • Writes processed data into Neo4j + BigQuery.

     • Handles error retries + logging.

Deliverables:

• Architecture doc (3–4 pages).

• Dashboard screenshots or link.

• GitHub repo with ETL code + instructions.