Business Intelligence Analyst

LekkeSlaap; Cape Town; On-site; ZAR 600,000 - 800,000; Full time

Benefits offered by this job

Hybrid work model & flexible start times

Free lunch when in office

Travel vouchers and discounts

Generous leave package

Digital nomad month

Job summary

LekkeSlaap, based in Cape Town, is seeking a Business Intelligence Analyst to enhance data-driven decision-making across its operations. This role includes identifying growth opportunities, designing dashboards, and collaborating across functions. The ideal candidate brings strong analytical skills and 3+ years' experience in business intelligence.

The position supports hybrid work, offering benefits like travel vouchers and flexible start times. Candidates should possess a strong understanding of data analytics and business intelligence tools.

Qualifications

• Bring 3+ years of proven experience in business intelligence or analytics.
• Strong modelling and querying capability with the ability to work independently.
• Experience building dashboards that support decision-making.

Responsibilities

• Investigate trends and provide practical recommendations.
• Identify growth opportunities by analysing market trends and customer behaviour.
• Design and maintain dashboards that are clear and useful.

Skills

Business Intelligence

Data Analysis

SQL

Analytical Thinking

Education

3+ years of experience in business intelligence or analytics

Tools

Power BI

Google Analytics

Metabase

Grafana

Job description

• 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
• Location: 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 mentality, balancing analysis, judgement, 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 with Marketing or Growth teams, especially in campaign, funnel, or performance analysis
• Experience with Google Analytics / GA4 / Google BigQuery and an understanding of digital tracking, attribution, and behavioural data
• Experience in travel, 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.