Senior Data Analyst (Bokun)

Who we are looking for

We're seeking a seasoned and strategic data analyst to be a key partner in shaping our product and business direction. Our ideal candidate is a fast learner with a curious mindset, who can work independently and collaboratively to analyze data and uncover insights that will help us create more value for our company and our customers. If you're passionate about data analysis and believe in its ability to inform intelligent decision-making you will fit right in at Bokun.

What you will do

You will be a pivotal member of our dynamic team, operating in an agile and quickly changing environment. You will act as a strategic advisor, using your deep analytical expertise to guide decisions across the company. You will work in a diverse environment with

• Your Analytics team members on core data initiatives and providing the strategic insights that support the entire organization
• Product and Engineering on creating outstanding software 
• Sales and Marketing on optimizing and improving business performance 
• Management team on making better-informed decisions and develop strategies for the company's growth

Some of the tasks that we know you will be doing:

• Collaborate with Product and other internal stakeholders to understand and define what data is essential to measure the impact of the work we are doing
• Partner with Engineering on implementing the tracking needed to measure impact
• Become an expert in translating what Product and Engineering teams are working onto into specific analysis, metrics or reports that yield actionable insights
• Investigate data visualization needs of different teams and translate obtained insight into actions and present these to stakeholders
• Enable stakeholders to access data and monitor key business metrics by being an expert in building and maintaining dashboards and reports using Mixpanel and Amplitude
• Create and present reports and ad-hoc analysis to management
• Communicate and present complex analytical insights and recommendations to diverse audiences, including company-wide forums and leadership
• Play a key role in the evolution of our data infrastructure, partnering with Engineering to define requirements, establish data models, and help build and maintain our data warehouse
• Apply statistical modeling, AI, and machine learning techniques to move beyond descriptive analytics and provide predictive and prescriptive insights
• Embrace and utilize AI tools in your daily workflow to enhance productivity and accelerate data-to-insight cycles
• Partner with Product and Engineering teams on A/B test design and analyzing test results to measure the impact of changes, and make recommendations to stakeholders

What you will need

• An education focused on Statistics, Mathematics, Data Science, Economics, or a related discipline. A Master's degree is a plus
• 5+ years of professional experience in a data analytics role, with a strong preference for product, growth, or marketing analytics in a tech or SaaS environment
• Excellent problem-solver & strong analytical skills
• Ability to translate complex analysis findings into a clear narrative and actionable insights
• Excellent communication skills, with the ability to listen, and collaborate
• Proven expertise with product analytics platforms such as Mixpanel or Amplitude.
• Practical experience with a scripting language for data analysis (e.g., Python with pandas/NumPy/SciPy, or R).
• Proficiency in SQL. You should be comfortable with complex queries and performance optimization
• Proven experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift), including involvement in data modeling, ETL/ELT processes, and schema design
• Practical experience applying statistical models, AI, or machine learning techniques to answer business questions (e.g., forecasting, clustering, predictive modeling)
• Experience in designing, running, and analyzing A/B tests using tools
• Experience with BI and data visualization tools for building reports from data warehouse sources is a plus
• Knowledge of the travel industry is a plus

Why work for us?

• Competitive salary
• Yearly performance based bonuses
• Restricted stock units (RSUs)
• Offices in central Reykjavik
• Lunch
• Car parking
• Amazing coffee
• Regular team events
• Flexible working hours
• Ability to work from home

Application process

• 30 minute call with a recruiter to learn more about the role
• 45 minute interview with Bokun Head of Analytics
• Short take home assignment. Three one-hour interviews with members of the team, covering technical topics – and what you would bring to Bókun.

If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to AccessibleRecruiting@Tripadvisor.com and let us know the nature of your request.  Please include the job requisition number in your message.

#Bokun

#LI-TA1