Head of Data & Analytics

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in Algeria
Remote
Senior level
Cloud • Information Technology
The Role
Lead company-wide data strategy and analytics to drive revenue, customer value, and product innovation. Build dashboards and client-facing data products, partner with Product/Sales to apply predictive models, establish data governance, and enable data literacy across teams.
Summary Generated by Built In

At Smeetz, we help visitor attractions like theme parks, museums, and theaters grow their sales and revenue. Our AI-powered SaaS platform gives them the tools to manage, market, and price their products more effectively.
We are looking for a business-first data leader to define and execute our company-wide data strategy. This is a high-impact, cross-functional role at the intersection of Product, Sales, Account Management, and Leadership.

You will transform data into a commercial advantage — driving revenue growth, customer value, product innovation, and strategic decision-making. This is not a pure engineering role; it is a strategic, revenue-focused leadership position.


Requirements

Professional requirements:

    • 5 to 8 years of experience in data, analytics, or business intelligence roles.
    • Strong track record of using data to drive business outcomes (revenue growth, operational efficiency, client value) — not just technical delivery
    • Deep understanding of SaaS metrics, cohort analysis, customer lifetime value, churn prediction, and revenue analytics
    • Strong understanding of e-commerce and funnel analytics: conversion rate and step drop-off analysis across booking flows, average order value (AOV) / average basket, revenue per visitor, attribution basics, and experimentation (A/B tests); comfortable using tools like Google Analytics (GA4) and/or Mixpanel to turn acquisition + on-site behaviour into product and revenue insights
    • Experience building and managing dashboards and reporting tools (e.g., Looker, Tableau, Power BI, Metabase, or similar)
    • Solid grasp of SQL and data modelling; comfortable working with data warehouses and ETL pipelines — but this is a business-first role, not a pure engineering one
    • Experience working cross-functionally with Sales, Product, Marketing, and Finance teams
    • Familiarity with AI/ML concepts — enough to collaborate effectively with data scientists and guide the application of predictive models to real business problems
    • Fluency in English (mandatory); French is a strong asset


Personal attributes
:

    • A business-first data leader who thinks in terms of revenue, customer value, and competitive advantage — not just queries and models
    • A storyteller who can translate complex data into clear narratives for executives, clients, and non-technical teams
    • A strategic thinker who can zoom out to define a vision and zoom in to solve specific problems hands-on
    • Comfortable with ambiguity and the pace of a fast-growing startup — able to prioritise ruthlessly and deliver value incrementally
    • A collaborator and relationship-builder who earns trust across departments and levels
    • A finisher with high attention to detail, ensuring analyses and deliverables are accurate, actionable, and on time
    • A temperament to transform start-up chaos into scale-up maturity

Key responsibilities:

  • Define and execute the company-wide data strategy, aligning it with business goals, product roadmap, and commercial objectives
  • Own the analytics and reporting function: build dashboards, KPIs, and insights that empower Sales, Account Management, Product, and Leadership to make data-driven decisions
  • Lead the development of client-facing data products — including ROI dashboards, performance benchmarks, and actionable analytics that demonstrate tangible value to operators
  • Partner with the Product team to shape the AI and analytics roadmap, translating business needs into data requirements for dynamic pricing, marketing intelligence, and predictive models
  • Collaborate with Sales and Account Management to use data as a commercial lever — supporting upselling, retention strategies, and client success storytelling
  • Establish data governance, quality standards, and definitions across the organisation to ensure consistency and trust in data
  • Act as the internal champion for data literacy — enabling non-technical stakeholders to self-serve insights and make confident, data-informed decisions
  • Drive the creation of data-driven content for investor relations, board reporting, and strategic planning

Benefits
  • Recognition of your successes through career growth, ownership opportunities, and an equity option package
  • A supportive team environment that values collaboration, continuous improvement, and mutual respect
  • A performance-driven culture that celebrates outcomes and innovation
  • The chance to lead high-impact projects in a fast-scaling company
  • A vibrant, inclusive workplace where your voice matters
  • Remote work options

Top Skills

Sql,Google Analytics (Ga4),Mixpanel,Looker,Tableau,Power Bi,Metabase,Data Warehouses,Etl Pipelines,A/B Testing,Ai/Ml
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The Company
HQ: Lausanne
54 Employees
Year Founded: 2017

What We Do

Go beyond ticketing with Smeetz, the cloud-based unified commerce helping visitor attractions simplify their ticketing operations and leverage their data to optimise their revenue.

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