Data Analyst

Role Overview

Customer and Subscription Analytics

• Analyse the customer journey from acquisition and onboarding through activation, renewal, cancellation, win-back, and referral.
• Identify customer segments, behaviour patterns, preferences, and friction points affecting conversion, retention, and lifetime value.
• Measure acquisition, activation, churn, retention, renewal, reactivation, cohort performance, lifetime value, and average revenue per user.
• Build cohort, funnel, segmentation, behavioural, and churn analyses for product, pricing, menu, promotion, and lifecycle decisions.

SQL, BigQuery, and Data Analysis

• Write, 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 with consistent metric definitions.
• Investigate anomalies, reconcile conflicting sources, and perform root-cause analysis.
• Partner with data and engineering stakeholders on models, pipelines, tracking, and documentation.
• Apply hypothesis testing, correlation analysis, forecasting, and experiment evaluation where appropriate.

Digital and Marketing Analytics

• Use GA4 to analyse website and app behaviour, traffic sources, conversion funnels, events, attribution, and campaign performance.
• Connect GA4 exports in BigQuery with subscription and transactional data.
• Support tracking plans and validate events, parameters, conversions, and UTM standards.
• Evaluate paid, organic, CRM, email, WhatsApp, referral, and promotional activity against acquisition and retention outcomes.
• Design and evaluate A/B tests and communicate methodology, results, limitations, and recommendations.

Dashboards and Decision Support

• Build and maintain dashboards and automated reports using Looker Studio, Power BI, Tableau, or similar platforms.
• Define and govern KPIs so teams use consistent calculations and terminology.
• Deliver performance reporting and highlight trends, risks, opportunities, and recommended actions.
• Translate complex analysis into concise narratives and visualisations for technical and non-technical stakeholders.
• Answer ad hoc business questions while developing scalable self-service reporting.

AI, Quality, and Governance

• Use AI-assisted analytics and coding tools for SQL development, exploration, documentation, quality checks, and insight generation.
• Build or support automated workflows using Python, notebooks, APIs, low-code tools, or AI agents.
• Apply language models to classification, sentiment, support-ticket, theme-extraction, and natural-language-query tasks.
• Validate AI-generated code, calculations, and conclusions for accuracy, reproducibility, and explainability.
• Monitor data accuracy, completeness, timeliness, and consistency and document metric definitions, lineage, and limitations.
• Protect customer information and follow privacy, security, access-control, and responsible AI requirements.

Minimum Qualifications

• Bachelor’s degree in data analytics, statistics, computer science, information systems, mathematics, economics, engineering, or a related field.
• At least 5 years of experience in data analytics, business intelligence, product analytics, growth analytics, or a similar role.
• Strong customer behaviour, lifecycle, funnel, cohort, segmentation, retention, and churn analysis experience.
• Experience with subscription, recurring-revenue, e-commerce, D2C, or digital-product business models.
• Advanced SQL and hands-on BigQuery or comparable cloud data warehouse experience.
• Strong GA4 and digital analytics experience.
• Experience building dashboards with Looker Studio, Power BI, Tableau, or similar tools.
• Working knowledge of Python or R and experience using AI tools for analytics, coding, automation, or insights.
• Strong analytical reasoning, attention to detail, and communication skills.

Preferred Qualifications

• Experience in food technology, meal plans, health and wellness, e-commerce, delivery, hospitality, or subscription services.
• Experience exporting GA4 data to BigQuery.
• Familiarity with dbt, Git, APIs, ETL or 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.
• Understanding of data privacy, governance, access controls, and secure handling of personally identifiable information.

Benefits

• Medical insurance, yearly airfare allowance, one main FITT Meals meal per day, educational allowance, and a monthly MEALS bonus.