At a Glance
- Tasks: Analyse data to provide insights for IT services and operations.
- Company: Join a leading tech company committed to diversity and innovation.
- Benefits: Enjoy flexible working, generous leave, and exclusive product discounts.
- Other info: Collaborative environment with opportunities for professional growth and knowledge sharing.
- Why this job: Make an impact by transforming data into actionable insights for decision-making.
- Qualifications: Strong analytical skills, experience with data visualisation tools, and SQL proficiency.
The predicted salary is between 30000 - 40000 £ per year.
We are hiring a Data Analyst I in Central Technology - ITS to provide operational reporting and insight across IT Service Management (ITSM), IT Operations Management (ITOM), IT Asset Management (ITAM), and IT Procurement. As a Data Analyst you will own the monthly departmental reporting pack for our Leadership Team, making sure it is produced, populated with the right stats and insights, and matured over time so it remains a trusted view of how the department is performing. You will also work closely with process owners, engineering, and other stakeholders on impactful operational problems, translating them into data stories and delivering insights that inform day‑to‑day decisions and longer‑term improvements.
You will work with data from sources such as ServiceNow (our primary system of record), Amazon Connect, LogicMonitor, and datasets in Snowflake, surfacing insight through tools such as Tableau and ServiceNow Performance Analytics, reports and dashboards. Alongside operational reporting you will help us monitor the performance of both our human teams and our AI / automated workflows, measuring whether they are meeting their intended purpose and helping us drive value from them.
Responsibilities
- Own the design and delivery of parts of Data Analytics solutions across ITSM, ITOM, ITAM and Procurement.
- Consume data from sources such as ServiceNow, Amazon Connect, LogicMonitor and Snowflake and translate business problems into data stories.
- Deliver work that informs business decisions for the operational area you currently work on.
- Leverage data analysis and visualization skills (e.g. Tableau, ServiceNow Performance Analytics) to answer business questions and create intuitive, actionable visualizations.
- Drive adoption of dashboards and metrics across the department – promote authoritative views, coach stakeholders, and retire duplicate or stale assets.
- Own the monthly departmental reporting pack for the Leadership Team, ensuring accurate stats and insights.
- Monitor the performance of operations, both human and AI / automated, flagging drift or anomalies, investigating root cause and helping the business drive value from automations.
- Collaborate with stakeholders (ITS leadership, process owners, operational engineers, support technicians, buyers) and communicate data insights effectively.
- Adapt existing internal Data Analytics approaches and expand technical competencies when more efficient methods become available.
- Grow craft skills while leveraging Data Analytics for impact on well‑defined business problems.
- Support junior peers through knowledge sharing and setting a good example.
- Network proactively with craft peers beyond the department’s scope.
- Familiarize with the larger data ecosystem at Booking and its relevance to your work.
- Engage with peers in related crafts (Data Engineering, ServiceNow platform, Automation owners) for specific projects.
- Understand the goals of your area (ITSM, ITOM, ITAM and Procurement operations).
- Ensure quality of your own work by validating it through peer review.
Qualifications
- Expertise in critical thinking, with an eye for detail and a proactive, adaptive mindset.
- Experience in data collection, preparation, processing, output and storage across multiple sources (ITSM, contact‑centre, monitoring and warehouse data).
- Experience with data visualization tools and visual communication (Tableau, ServiceNow Performance Analytics or equivalent).
- Experience in critical judgment and quality control, including reconciling conflicting numbers across systems.
- Awareness of tracking changes and coding.
- Strong SQL skills; Python is a plus.
- Awareness of statistical modeling, interference, experiment design and result interpretation.
- Experience creating and monitoring KPIs and translating business questions into data problems, including KPIs for AI / automated workflows.
Benefits and Perks
- Annual paid time off and generous paid leave scheme (parent, grandparent, bereavement, and care leave).
- Hybrid working with flexible arrangements and up to 20 days per year working from abroad (home country).
- Industry leading product discounts – up to 1400 per year – for yourself, including automatic Genius Level 3 status and Booking.com wallet credit.
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and create an environment that allows everyone to thrive.
Data Analyst I - IT Services in Manchester employer: Booking.com
At Booking.com, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Data Analyst I in our Central Technology - ITS team, you will benefit from flexible hybrid working arrangements, generous paid leave, and industry-leading product discounts, all while contributing to impactful data-driven decisions that shape our IT services. We are committed to your professional growth, providing opportunities to enhance your skills and support your career development in a diverse and inclusive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst I - IT Services in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Analyst role. This can give you insider knowledge and potentially a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data visualisation skills. Since you'll be using tools like Tableau and ServiceNow Performance Analytics, make sure you can talk confidently about your experience with these tools and how you've used them to solve business problems.
✨Tip Number 3
Showcase your critical thinking skills during interviews. Be ready to discuss how you've tackled complex data challenges in the past. Use specific examples that highlight your ability to translate data into actionable insights, just like the role requires!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at StudySmarter!
We think you need these skills to ace Data Analyst I - IT Services in Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data analysis, especially in ITSM, ITOM, ITAM, and Procurement. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Show Off Your Data Skills:Since this role involves a lot of data visualisation and analysis, be sure to mention your experience with tools like Tableau and SQL. If you’ve got any cool examples of dashboards or reports you've created, include them to impress us!
Communicate Clearly:When writing your application, keep it clear and concise. We love a good data story, so if you can weave in how your insights have driven decisions in past roles, that’ll definitely catch our eye!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Booking.com
✨Know Your Data Tools
Familiarise yourself with the data visualisation tools mentioned in the job description, like Tableau and ServiceNow Performance Analytics. Be ready to discuss how you've used these tools in past projects to create actionable insights.
✨Master SQL and Python Basics
Brush up on your SQL skills and have a basic understanding of Python. Prepare to answer questions about how you would use these languages to manipulate and analyse data effectively.
✨Prepare Your Data Stories
Think of specific examples where you've translated complex data into clear, impactful stories. Be ready to explain how your insights informed business decisions and drove improvements in previous roles.
✨Engage with Stakeholders
Show that you understand the importance of collaboration by preparing examples of how you've worked with different stakeholders. Highlight your communication skills and how you’ve effectively shared data insights to drive action.
