At a Glance
- Tasks: Transform complex data into actionable insights to enhance customer experience and operational efficiency.
- Company: Join Travel Chapter, a passionate team dedicated to creating memorable holidays.
- Benefits: Collaborative environment with opportunities for personal growth and impactful work.
- Other info: Exciting opportunity to shape the future of customer operations and drive meaningful change.
- Why this job: Make a real difference by influencing business decisions through data-driven insights.
- Qualifications: Strong SQL skills and experience in data analytics or business intelligence roles.
The predicted salary is between 35000 - 45000 £ per year.
At Travel Chapter, we're passionate about creating memorable holidays and delivering exceptional experiences for our guests and property owners. We're looking for an Operational Insight Analyst to join our growing Operational Insight team and play a key role in shaping how we use data to improve our Customer Services operation. Reporting to the Operational Insight Lead, you'll turn complex data into actionable insights that help improve customer experience, drive operational efficiency and support business decision-making.
This isn't a role where you'll simply produce reports. We're looking for someone who can identify opportunities, build compelling business cases, challenge thinking and influence stakeholders to make meaningful improvements. Please note: strong SQL experience is essential for success in this role.
What you'll be doing:
- You'll work closely with Customer Services leaders, Product, Technology and other business stakeholders to understand operational challenges and uncover opportunities for improvement.
- Analysing 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.
This is an exciting opportunity to join a team that's rebuilding and strengthening its analytical capability. You'll have the freedom to shape priorities, work closely with stakeholders across the business and make a visible impact on both customer experience and operational performance. You'll be joining a collaborative team where your insights will directly influence decision-making and help shape the future of our customer operations.
If you're someone who enjoys solving problems, uncovering insights and helping businesses make better decisions through data, we'd love to hear from you. You're an experienced analyst who combines strong technical capability with commercial awareness and a genuine interest in improving customer operations. You enjoy understanding how teams work, identifying opportunities for improvement and using data to influence business decisions.
Essential Qualifications:
- 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 Qualifications:
- 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.
Operational Insight Analyst employer: Travel Chapter
At Travel Chapter, we pride ourselves on fostering a vibrant and inclusive work culture that values collaboration and innovation. As an Operational Insight Analyst, you'll not only have the opportunity to leverage your analytical skills to drive meaningful improvements in customer experience but also benefit from our commitment to employee growth through continuous learning and development opportunities. Located in a dynamic environment, you'll be part of a team that encourages creative problem-solving and empowers you to make a tangible impact on our operations.
StudySmarter Expert Advice🤫
We think this is how you could land Operational Insight Analyst
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Travel Chapter.
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We think you need these skills to ace Operational Insight Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Travel Chapter, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Travel Chapter. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Travel Chapter
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Travel Chapter!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
