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Open nowPosted 390 days ago

Head of Data Analytics

gradientflo19 open roles

Pay
$12,000 – $24,000 a yearly
Where
Hyderābād, India
Work mode
On site
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Your applicationOpen nowHead of Data Analyticsgradientflo · Hyderābād, India

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This job: posted 390 days ago

The posting

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.
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