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

• 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.
• 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.
• 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.
• 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.
• 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.
• 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):

• 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).
• 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.
• 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.