Data Analyst
FITT Meals · Dubai, United Arab Emirates
Apply & track with Apply EdgePosition: Data Analyst
Our mission is to make healthy eating accessible and affordable without compromising on quality. Our dynamic team thrives on innovation, collaboration, and excellence in serving our diverse customer base.As we continue to grow, we are seeking enthusiastic and driven individuals to join our team and contribute to our mission of inspiring healthier lifestyles across the UAE.Role Overview:The Data Analyst will turn customer, subscription, product, marketing, and operational data into clear insights that improve decision-making across FITT Meals. This role sits within the Technology team and works closely with Marketing, Product, Customer Experience, Operations, Finance, and leadership.The ideal candidate has strong experience analysing customer behaviour and subscription businesses, writing efficient SQL for large and complex datasets, working with Google BigQuery and GA4, and using modern AI tools to accelerate analysis, automate workflows, and communicate findings. The role requires a balance of technical depth, commercial thinking, curiosity, and the ability to translate data into practical recommendations.
Responsibilities
Customer & Subscription AnalyticsAnalyse the complete customer journey, from acquisition and onboarding through activation, engagement, renewal, pause, cancellation, win-back, and referral.Identify customer behaviour patterns, segments, preferences, and friction points that affect conversion, retention, and lifetime value.Measure and explain subscription metrics, including acquisition, activation, churn, retention, renewal, reactivation, cohort performance, customer lifetime value, and average revenue per user.Build cohort, funnel, segmentation, and behavioural analyses to support product, pricing, menu, promotion, and lifecycle decisions.Develop churn indicators and support predictive models that identify customers at risk or likely to convert, renew, or reactivate.SQL, BigQuery & Data AnalysisWrite, optimise, and maintain advanced SQL queries across large and complex datasets.Use Google BigQuery to combine, transform, validate, and analyse data from multiple business systems.Create reusable datasets, views, and analytical models that provide consistent definitions of core business metrics.Investigate data anomalies, reconcile conflicting sources, and perform root-cause analysis.Partner with data and engineering stakeholders to improve data models, pipelines, tracking, and documentation.Apply statistical methods such as hypothesis testing, correlation analysis, forecasting, and experiment evaluation where appropriate.Digital & Marketing AnalyticsUse GA4 to analyse website and app behaviour, traffic sources, conversion funnels, events, attribution, and campaign performance.Work with GA4 exports in BigQuery and connect digital behaviour with subscription and transactional data.Support tracking plans and validate events, parameters, conversion definitions, and UTM standards.Evaluate paid, organic, CRM, email, WhatsApp, referral, and promotional activity against acquisition quality, conversion, retention, and return on investment.Design and evaluate A/B tests, clearly communicating methodology, results, limitations, and recommendations.Dashboards, Reporting & Decision SupportBuild and maintain clear dashboards and automated reports using tools such as Looker Studio, Power BI, Tableau, or similar platforms.Define and govern KPIs so teams use consistent calculations and terminology.Deliver regular performance reporting and proactively highlight trends, risks, opportunities, and recommended actions.Translate complex analysis into concise narratives and visualisations for technical and non-technical stakeholders.Respond to ad hoc business questions while developing scalable self-service reporting solutions.AI-Enabled Analytics & AutomationUse AI-assisted analytics and coding tools responsibly to accelerate SQL development, data exploration, documentation, quality checks, and insight generation.Build or support automated analytical workflows using Python, notebooks, APIs, low-code tools, or AI agents where appropriate.Apply large language models to tasks such as text classification, sentiment analysis, support-ticket analysis, theme extraction, and natural-language querying of approved datasets.Validate all AI-generated code, calculations, and conclusions before use, ensuring outputs are accurate, reproducible, and explainable.Protect customer information and follow company requirements for privacy, security, data access, and responsible AI use.Stay current with emerging AI and analytics capabilities and recommend practical use cases that create measurable business value.Data Quality & GovernanceMonitor data accuracy, completeness, timeliness, and consistency across reporting sources.Document metric definitions, query logic, data lineage, assumptions, and known limitations.Handle customer and commercial data in line with applicable privacy, security, and access-control requirements.Collaborate with stakeholders to establish reliable sources of truth for critical metrics.
Minimum Qualifications
Bachelor’s degree in Data Analytics, Statistics, Computer Science, Information Systems, Mathematics, Economics, Engineering, or a related field.5+ years of experience in data analytics, business intelligence, product analytics, growth analytics, or a similar role.Strong experience analysing customer behaviour, lifecycle journeys, funnels, cohorts, segmentation, retention, and churn.Practical experience working with subscription, recurring-revenue, e-commerce, D2C, or digital-product business models.Advanced SQL skills, including complex joins, CTEs, window functions, query optimisation, and analysis of large datasets.Hands-on experience with Google BigQuery or a comparable cloud data warehouse.Strong working knowledge of GA4, event-based tracking, conversion analysis, attribution, and digital analytics.Experience building dashboards in Looker Studio, Power BI, Tableau, or a similar business-intelligence tool.Working knowledge of Python or R for data analysis, automation, or statistical modelling.Experience using AI tools for analytics, coding, automation, or insight generation, with a strong understanding of validation and responsible use.Strong analytical reasoning, attention to detail, and ability to communicate findings clearly to different audiences.
Preferred Qualifications
Experience in food technology, meal plans, health and wellness, e-commerce, delivery, hospitality, or subscription-based services.Experience working with GA4 data exported to BigQuery.Familiarity with dbt, Git, APIs, ETL/ELT pipelines, data modelling, and cloud platforms.Knowledge of experimentation, forecasting, predictive analytics, and machine-learning concepts.Experience with CRM, customer engagement, or subscription platforms such as HubSpot, Klaviyo, Braze, Recharge, or similar tools.Familiarity with AI-enabled tools such as ChatGPT Enterprise, Claude, Gemini, GitHub Copilot, BigQuery ML, Vertex AI, or comparable platforms.Understanding of data privacy, governance, access controls, and secure handling of personally identifiable information.Experience in a fast-paced startup or scale-up environment and the ability to manage multiple priorities independently.Knowledge of the UAE or GCC customer and digital-commerce landscape is an advantage.Key Success Measures:Accuracy, reliability, and adoption of dashboards and analytical outputs.Improved visibility into customer behaviour, subscription performance, and marketing effectiveness.Faster turnaround from business question to actionable insight.Measurable improvements informed by analysis, such as stronger conversion, retention, lifetime value, and operational efficiency.Increased automation and responsible use of AI across recurring analytical workflows.
Benefits
Medical InsuranceYearly Airfare Allowance1 FITT Meals main meal per dayEducational AllowanceMonthly MEALS BonusJoin FITT Meals and be part of a passionate team using technology and data to transform how people access healthy, delicious meals!