Head of Data & Analytics at Smeetz

, , Algeria -

Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

0.0

Posted On

19 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Strategy, Revenue Growth, SaaS Metrics, Cohort Analysis, Customer Lifetime Value, Churn Prediction, Revenue Analytics, E-commerce Analytics, Funnel Analytics, A/B Testing, SQL, Data Modelling, Data Governance, Data Literacy, AI/ML Collaboration, Storytelling

Industry

Software Development

Description

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. 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 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

Responsibilities

The Head of Data & Analytics will define and execute the company-wide data strategy, aligning it with business goals, and will own the analytics and reporting function to empower various departments with data-driven insights. This role also involves leading the development of client-facing data products and partnering with Product to shape the AI and analytics roadmap.