Skip to main content
NEUN
Back to Careers

Top

Head of Data Analytics

NEW
Remote with hubs in Dubai, Yerevan, London and BelgradeFull-timeGlobal
šŸ“Š ExecutivešŸ  Hybrid
RemoteRemote work position availableActivePosted within the last 30 days

Job Description

[AI-summarized by JobStash]

You will lead and scale the data function across multiple products and portfolio companies. You will define long-term data roadmaps, introduce new tooling and AI-driven workflows, and mentor analysts and engineers. You will partner with product leaders to translate goals into measurable metrics, build and review data models and pipelines, write and optimize SQL queries, validate dashboards, and support strategic initiatives with reliable analysis.

Requirements

  • ā—5+ years in analytics or data roles including leadership experience
  • ā—Experience managing analysts
  • ā—Background in product analytics and data infrastructure
  • ā—Strong SQL skills with BigQuery or similar data warehouse
  • ā—Experience with BI tools such as Superset Looker or Tableau
  • ā—Understanding of data modeling and ETL/ELT processes and pipeline architecture
  • ā—Experience with KPI frameworks and product metrics
  • ā—Interest in applying AI and automation to analytics workflows
  • ā—Systems thinker with strong ownership mentality
  • ā—Comfortable operating in ambiguity and balancing strategic and hands-on work
  • ā—Strong communication skills to translate data into business decisions

Responsibilities

  • ā—Define and own the overall data strategy across the venture builder and portfolio companies
  • ā—Develop and prioritize data roadmaps aligned with business goals
  • ā—Introduce new technologies and improve tooling including AI-driven analytics workflows
  • ā—Mentor product analysts and manage the data engineering team
  • ā—Develop growth plans and performance frameworks for team members
  • ā—Partner with product managers founders and stakeholders to define analytical needs
  • ā—Translate business goals into measurable metrics and data models
  • ā—Ensure consistency of KPIs across portfolio companies
  • ā—Support strategic projects with deep analytical involvement
  • ā—Write and optimize SQL queries in BigQuery
  • ā—Design and review data models
  • ā—Build and review Airflow DAGs
  • ā—Validate dashboards in Superset

Benefits & Perks

  • ā—Remote setup with access to hubs in Dubai Yerevan London and Belgrade
  • ā—Compensation for medical expenses
  • ā—Provision of necessary equipment
  • ā—20 working days of paid vacation annually
  • ā—11 days off per year
  • ā—14 days of paid sick leave
  • ā—Regular performance reviews
  • ā—Access to internal conferences English courses and corporate events

Tech Stack

Airflowdata pipelineanalyticsdashboardproduct analyticsSupersetdata engineeringAIBigQueryproduct metricsproject:The Open Platform
Expired
Search