Head of Data Analytics

Role Overview

You’ll be the custodian 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 a data foundation that fuels personalization, insights, and growth at scale. You’ll own the Developer 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 to make 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).

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

   • Ensure data 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 implement cohort analysis, funnels, and churn prediction.

   • Enforce a consistent taxonomy across product, marketing, and community data.

3. Personalization & Developer Graph

   • Architect and optimize the Developer Graph in Neo4j.

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

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

4. Growth & Retention Analytics

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

   • Run A/B test analysis with statistical rigor.

   • Measure engagement and learning outcomes for every course flow.

5. Team Leadership & Data Culture

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

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

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

6. Compliance & Privacy

   • Ensure compliance with GDPR, SOC 2, and data privacy regulations.

   • Partner with Security & Compliance head on data 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 first growth dashboard (activation, retention, conversion) in Amplitude/Mixpanel.

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

12 Months:

• Developer Graph fully powering hyper-personalization in TutorAgent.

• Real-time pipelines handle 100K+ DAUs with <1s latency for graph updates.

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

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

Must-Haves

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

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

• Proven ability to scale data systems to 100K+ DAUs.

• Hands-on with Neo4j (Graph DB), Firestore, Redis, BigQuery.

• Strong background in cohort analysis, churn modeling, LTV/CAC analysis.

Nice-to-Haves

• Experience in EdTech or developer platforms.

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

• Prior founding data leader or startup scaling experience.

• Familiarity with AI-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 design data pipelines + analytics framework for Vibecoderz.

Assessment (3-Part):

1. Data Architecture Design (Written)

   • Draft a data 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 a sample 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 a Python 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.