Senior Data Analyst
Skyscanner
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
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