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- Tasks: Analyse data to provide insights and recommendations for business growth.
- Company: Join Skyscanner, a diverse employer committed to the LGBTQ+ community.
- Benefits: Enjoy flexible working options and a supportive company culture.
- Why this job: Be part of a dynamic team where your data skills drive real impact.
- Qualifications: Experience in data analysis, SQL, and analytical tools like Excel and Tableau required.
- Other info: Bonus points for experience in e-commerce analytics and Python.
The predicted salary is between 43200 - 72000 £ per year.
This job is with Skyscanner, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
We are looking for an analyst with a strong business sense who is passionate about discovering what the data says. You will draw from your practical experience to produce the highest quality data analysis, business insights and recommendations. These will be used by the business to inform decision making and guide strategy for business optimisation and growth.
To do this you will act as the dedicated analytics partner within the wider business team using your skills to interpret large volumes of data across a wide range of sources including Google Analytics, Tableau and our internal databases.
As a Business Data Analyst you:
- Are deeply numerate
- Will thrive in the world where data, code, analytical methods and business overlap.
- When you are not crunching data you are spotting trends and sharing actionable insights
- Excel at articulating and presenting analytical conclusions to team members and stakeholders at all levels of the business
- Communicate and influence using data, producing convincing business cases and recommendations to your stakeholders
- Pride yourself in earning the trust of your team members, stakeholders and internal customers through the consistent quality and contribution of your analysis, interpretation and guidance
- Upskill your colleagues enabling the wider team to be self-sufficient in performing analysis and deep dives
What experience you will bring?
- Proven track record delivering high-quality analysis from large and varied data sources
- Expertise in analytical methods and techniques to deliver reliable conclusions
- Proficiency with analytical tools such as Excel, Tableau, or equivalent
- Extensive experience with SQL for accessing and manipulating data
- Strong collaboration skills with the ability to guide and contribute effectively
- Ability to manage and prioritize workload in a fast-paced environment
- Proven track record of leading projects and achieving business objectives through measurable outcomes.
- Meaningful experience in analytical role crafting high quality reports and dashboards
- Proficiency in wrangling multiple datasets to deliver actionable insights
Bonus points for:
- Experience in App/Web analytics for ecommerce
- Experience with Python for data analysis
- Familiarity with web-based platforms for working with Spark, such as Databricks
Senior Data Analyst employer: myGwork
Contact Detail:
myGwork Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarise yourself with Skyscanner's business model and the travel industry. Understanding their specific challenges and opportunities will help you tailor your insights and recommendations to be more relevant and impactful.
✨Tip Number 2
Brush up on your SQL skills, as this role requires extensive experience in accessing and manipulating data. Consider working on personal projects or contributing to open-source projects that involve SQL to showcase your proficiency.
✨Tip Number 3
Practice presenting your analytical findings in a clear and engaging manner. You might want to create mock presentations based on hypothetical data analysis scenarios to build your confidence in articulating insights to stakeholders.
✨Tip Number 4
Network with current or former employees of Skyscanner through platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the interview process.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, particularly your proficiency in tools like Excel, Tableau, and SQL. Emphasise any projects where you've delivered actionable insights or led initiatives that achieved measurable outcomes.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how it informs business decisions. Mention specific examples of how you've used data to drive strategy and optimise business performance, showcasing your analytical methods and collaboration skills.
Showcase Relevant Experience: When detailing your work experience, focus on roles where you’ve worked with large datasets and produced high-quality reports. Highlight any experience with app/web analytics for e-commerce, as well as your ability to communicate insights effectively to stakeholders.
Prepare for Potential Questions: Anticipate questions related to your analytical methods and how you approach problem-solving with data. Be ready to discuss specific tools and techniques you've used, and prepare to share examples of how your insights have influenced business decisions.
How to prepare for a job interview at myGwork
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis to drive business decisions. Highlight your experience with tools like SQL, Excel, and Tableau, and be ready to explain your analytical methods in detail.
✨Communicate Clearly
Since the role involves presenting insights to various stakeholders, practice articulating your findings in a clear and concise manner. Use visuals or examples to make your points more relatable and impactful.
✨Demonstrate Collaboration
Emphasise your ability to work within a team and guide others in data analysis. Share experiences where you’ve helped colleagues upskill or contributed to team projects, showcasing your collaborative spirit.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach analysing a dataset to uncover trends or insights that could influence business strategy.
