Hospitality Data Analyst
Analyses hotel and tourism data to optimise pricing, occupancy and revenue. Works with property management systems, booking platforms and market data to drive data-informed decisions in hotel groups and tourism companies.
- AI exposure
- 56 of 100, moderate exposure
- Hiring trend
- Rising
- Hiring rate
- 48%
The role
What the work is, what it pays, and what it costs you.
At a glance
- Remote friendly
- Yes
- Freelance potential
- Medium
- Time to senior
- 6 years
- Adaptation level
- Moderate
A day in the role
Reviews daily occupancy and RevPAR data across hotel properties, adjusts pricing recommendations, creates a competitive analysis dashboard, and presents revenue insights to the GM team.
What it pays
Kenyan market, per month- Entry
- KES 90,000-130,000
- Mid
- KES 170,000-280,000
- Senior
- KES 350,000-550,000
Exposure
How much of this a machine can already do, and how that was worked out.
Where this rating sits
1,516 rated careersRated above 77% of the 1,516 careers in the catalogue, which averages 43. Inside hospitality & tourism the mean is 30, across 97 careers.
What the rating is made of
Share of recorded tasks- Machine does it
- 30%Software can already complete this work end to end.
- Machine assists
- 50%A person still decides, but the drafting is done for them.
- Person does it
- 20%Judgement, relationships and accountability that do not transfer.
Named task by task
Already automated
- Automated revenue management pricing
- Demand forecasting models
- Generating performance dashboards
- Competitor rate analysis
Still human
- Interpreting data for strategic decisions
- Designing pricing strategies
- Presenting insights to hotel management
- Integrating data from multiple systems
- Developing revenue optimisation plans
Getting in
The routes into the role and what each one asks for.
What to study
8 courses- Artisan in Catering and AccommodationKsh 67,189a year
- Artisan in Food and BeverageKsh 67,189a year
- Artisan in Food and Beverage ProductionKsh 67,189a year
- Artisan in Front Office OperationsKsh 67,189a year
- Artisan in Hairdressing and Beauty TherapyKsh 67,189a year
- Baking Technology Level Four (TVET-CDACC)Ksh 67,189a year
- Certificate in Baking TechnologyKsh 67,189a year
- Certificate in Food Preparation and Culinary ArtsKsh 67,189a year
How people get in
Data analytics or statistics degree
4 yearsHigh cost
BSc Statistics or Data Science from UoN, JKUAT or Strathmore
Hospitality + data skills
3-5 yearsMedium cost
Hotel experience plus data analytics training
Who hires
- Sarova Hotels
- Kempinski Nairobi
- Radisson Blu
- Serena Hotels
- Maisha Group
Common misconceptions
Hospitality data is just counting guests
It involves revenue management, demand forecasting, competitive analysis and customer segmentation analytics.
Only large chains need data analysts
Even mid-size properties benefit from data-driven pricing and occupancy optimisation.
What happens next
How the role changes from here, and where it leads.
Supply and demand
- Demand
- 48
- Supply pressure
- 15
- Balance
- High demand
What to learn
- Revenue management systems
- BI dashboards
- Hospitality analytics
Related careers
Kenyan market notes
Kenyan hotel chains are adopting revenue management systems. Data analysts who understand hospitality metrics (RevPAR, ADR, occupancy) are in demand. International chains operating in Kenya bring global analytics practices.
Further reading
This role is rated 56 out of 100 today. Save it and the app keeps that number, then tells you by how much it has moved when the record is next reviewed.