Business Intelligence Analyst

About the role

🤝 Bring 3+ years of proven experience in business intelligence, analytics, data analysis, 📈 Turn data into practical insight across marketing, product, and broader business operations 🤖 Identify opportunities for AI and automation to improve workflows 🔁 Work cross-functionally with Product, Engineering, Finance, Marketing, and other business units to solve real problems 📍 V&A Waterfront, Cape Town (hybrid) LekkeSlaap is South Africa's leading accommodation booking app, known for its user-friendliness, exceptional customer experience, and extensive local accommodation options. Owned by Tripco , a travel technology company based in the V&A Waterfront, Cape Town, LekkeSlaap is committed to innovation, best-in-class customer service, and setting new standards in travel technology. As a Business Intelligence Analyst at Tripco, you'll play a key role in helping the business use data more practically, proactively, and effectively. You'll work closely with stakeholders across various business functions to turn data into clear insights, stronger decision-making, and real business value, with the opportunity to help shape and grow the data function over time. You'll help the business not only understand what has happened, but also identify what should happen next. You'll proactively seek out opportunities, inefficiencies, emerging trends, competitive insights, and areas of risk by combining internal and external data sources to support better business outcomes. This role is suited to someone who is not only strong technically, but also highly commercial and curious. You should enjoy investigating patterns, spotting opportunities, challenging assumptions, and turning complex information into clear recommendations that people can act on. You'll also play an active role in identifying opportunities to use AI-driven tools and automation to improve internal workflows, analysis, and business performance as the industry continues to evolve. Our Environment You'll work across a varied data and analytics environment, likely including: Business Intelligence & Reporting: BI tools, dashboards, recurring reporting, and ad hoc analysis Data & Analytics: SQL-based data sources, digital analytics, booking and commercial performance data Marketing & Growth: Google Analytics / GA4, campaign and funnel performance, channel and conversion insight AI, Data & Automation: Active use of AI-driven tools, automation, and data-informed solutions to improve internal processes, analytical workflows, and business decision-making Cross-functional collaboration: Close partnership with Product, Engineering, Finance, Marketing, and Operational teams to translate business questions into clear analysis and action Responsibilities Business Insight & Analysis: Investigate trends, anomalies, and opportunities across the business and wider market, translating findings into practical recommendations that improve customer experience, commercial performance, operational efficiency, and strategic decision-making. Opportunity Discovery & Market Intelligence: Proactively identify opportunities for growth, optimisation, and innovation by analysing customer behaviour, market trends, competitor activity, operational performance, and emerging technologies. Surface insights that help the business prioritise investments and strategic initiatives. Reporting & Dashboarding: Design, maintain, and improve dashboards and recurring reporting that are clear, trusted, and genuinely useful to stakeholders. AI & Automation Enablement: Actively identify opportunities to introduce AI-assisted workflows, automation, and smarter analytical processes to improve efficiency and business impact. Data Integrity & Validation: Identify inconsistencies, gaps, and risks in data, reporting, tracking, modelling, and querying, helping strengthen governance, privacy, responsible AI usage, and trust in business-critical metrics. Stakeholder Engagement: Partner with stakeholders across the business to understand their questions, shape analysis, and communicate findings clearly. Problem Investigation: Proactively find the needle in the haystack by exploring what is changing in the business and around it, why it is changing, and what should happen next. Documentation: Maintain clear and practical documentation around key metrics, reporting logic, definitions, and analytical context to support consistency and better decision-making. Continuous Improvement: Contribute to better analytical practices, reporting habits, and the data roadmap, strengthening the use of data across the business. Behavioural competencies Collaboration: Thrives in a team environment, working effectively across multiple disciplines and building strong relationships with both technical and non-technical stakeholders. Commercial curiosity: Naturally asks smart questions, looks for underlying drivers, and cares about how data can create practical business value. Problem-solving mindset: Approaches challenges with a doer ment

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