
501 - 1000 employees
Founded 1989
🏠 Real Estate
☁️ SaaS
💰 Private Equity Round - Travel Chapter on 2019-01
Real Estate • SaaS
Travel Chapter is a company that appears to operate in the travel and short-term rental space, offering property management and related services such as property managers and self-employed cleaners, while also developing digital products (app, data tools) to support its operations. The company's careers site lists roles across product engineering, data, and operations, indicating it runs both consumer-facing property/holiday services and an internal technology platform to manage bookings and operations. The site emphasizes candidate and employee portals, inviting applicants to connect for open roles.
🔥 0 minutes ago
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧐 Business Analyst
🇬🇧 UK Skilled Worker Visa Sponsor
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501 - 1000 employees
Founded 1989
🏠 Real Estate
☁️ SaaS
💰 Private Equity Round - Travel Chapter on 2019-01
Real Estate • SaaS
Travel Chapter is a company that appears to operate in the travel and short-term rental space, offering property management and related services such as property managers and self-employed cleaners, while also developing digital products (app, data tools) to support its operations. The company's careers site lists roles across product engineering, data, and operations, indicating it runs both consumer-facing property/holiday services and an internal technology platform to manage bookings and operations. The site emphasizes candidate and employee portals, inviting applicants to connect for open roles.
• Analyzing large datasets to identify trends, customer behaviours and operational performance opportunities. • Building dashboards and visualisations that provide clear, actionable insights. • Monitoring customer contact drivers across phone, email and chat channels, identifying opportunities to reduce avoidable demand. • Supporting forecasting, capacity planning and resource optimisation activities. • Measuring the impact of operational, process and technology changes. • Developing business cases and cost-benefit analyses to support recommendations. • Conducting root cause analysis on recurring customer pain points. • Collaborating with stakeholders across the business to drive data-led decision making. • Helping to improve and automate reporting processes and analytical workflows. • Presenting insights and recommendations to a range of audiences, including senior leaders. • Influencing change by turning data into practical actions that improve both customer experience and operational performance.
• Experience working in a Data Analytics, Business Intelligence or Insights role. • Strong SQL skills and experience combining data from multiple sources. • Experience building dashboards using Power BI, Tableau or similar visualisation tools. • Experience working with large, complex datasets. • Experience using data to influence business decisions and drive change. • Strong stakeholder management and communication skills. • Ability to translate complex data into clear, actionable recommendations. • A proactive and curious mindset, with a track record of identifying opportunities rather than simply responding to requests. • Desirable: Experience working within Customer Services, Contact Centre or Operations environments. • Experience using Salesforce. • Experience with Python or R for advanced analysis. • Knowledge of data engineering concepts and processes. • Experience using Jira. • Forecasting or workforce planning experience.
• Competitive + Benefits
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