🤝 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 byTripco, 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 aBusiness 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 mentality, balancing analysis, judgment, and hands-on execution to deliver useful outcomes.
Adaptability:Comfortable working in a fast-moving environment, handling ambiguity, and learning new tools, technologies, and ways of working as the business evolves.
Urgency & ownership: Biased to action and manages workload effectively, takes initiative, and takes full ownership of analysis, outputs, and follow-through.
Continuous learning:Proactively keeps skills and knowledge current, with strong interest in data, AI, automation, and evolving analytics practices.
Attention to quality:Committed to producing accurate, thoughtful, and well-structured work that stakeholders can trust and act on.

Functional experience & competencies

3+ years of proven experience in business intelligence, analytics, data analysis, or a similar role, ideally in a commercial, digital, e-commerce, travel, hospitality, or marketplace environment
Strong modelling & querying capability with the ability to work independently with data, investigate issues, and answer business questions with confidence
Experience building dashboards and reports that support decision-making, using BI tools such as Metabase, Grafana and Power BI or similar
Strong analytical thinking with the ability to spot patterns, identify root causes, and translate findings into practical recommendations & outcomes
Experience with data warehousing, and working closely with more technical data or engineering teams
Experience working with digital, market and commercial data, including funnel performance, customer behaviour, campaign results, and business metrics
Experience using both internal and external datasets to identify business opportunities, market trends, competitive insights, and areas of operational improvement.
Ability to assess data quality and integrity, and to recognise when numbers, tracking, or reporting may be unreliable or incomplete
Strong communication skills with the ability to explain complex findings clearly to non-technical stakeholders
Experience applying AI tools and automation to improve reporting, analysis, and decision support, including identifying opportunities for smarter alerts, workflows, and predictive use cases.

Bonus if you have:

Experience working closely withMarketing or Growth teams, especially in campaign, funnel, or performance analysis
Experience withGoogle Analytics / GA4 / Google BigQuery and an understanding of digital tracking, attribution, and behavioural data
Experience intravel, e-commerce, hospitality, or other high-volume consumer environments

Benefits

Hybrid work model & flexible start times
Free lunch when in office
Modern offices based at the V&A Waterfront
Showers on site
Travel vouchers and discounts
Discovery medical aid contributions & Vitality Health membership
Retirement annuity contributions
High-end laptops and workstation setup for both in-office and WFH
Generous leave package
Half-day off every month
Digital nomad month (work from anywhere)
Regular team events and more!

We are committed to creating a diverse and inclusive workplace and encourage applications from all suitably qualified candidates, including persons with disabilities.

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