Senior Data Analyst - AI-Driven Search Marketing

Senior Data Analyst - AI-Driven Search Marketing

Full-Time 45000 - 55000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Own search performance analysis and translate data into actionable insights.
  • Company: Join Tripadvisor, a leader in travel and marketing analytics.
  • Benefits: Competitive salary, flexible work options, and opportunities for growth.
  • Other info: Fast-paced ecommerce environment with collaborative teams.
  • Why this job: Dive into AI-driven analytics and make a real impact on marketing strategies.
  • Qualifications: Strong SQL skills and a passion for AI and data analysis.

The predicted salary is between 45000 - 55000 £ per year.

Tripadvisor is seeking a Sr Data Analyst in Marketing Analytics to own search performance analysis, with strong SQL skills and a passion for AI.

You’ll translate SEM/SEO data into actionable insights and partner with channel owners and ML colleagues from day one.

You’ll work independently in a fast-moving ecommerce environment, collaborating with CRM, Display and Affiliate teams to improve traffic and revenue while exploring AI-enabled analytics and experiments.

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Senior Data Analyst - AI-Driven Search Marketing employer: TripAdvisor

At Tripadvisor/Bókun, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to take ownership of their roles. As a Business Development Manager, you'll benefit from extensive professional growth opportunities, collaborative cross-functional teams, and the chance to make a significant impact in a rapidly expanding environment. Our remote work flexibility allows you to thrive while enjoying a healthy work-life balance, making us an exceptional employer for those seeking meaningful and rewarding careers.

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Contact Details:

TripAdvisor Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analyst - AI-Driven Search Marketing

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like TripAdvisor!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst - AI-Driven Search Marketing at TripAdvisor.

Leverage Professional Networks

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 TripAdvisor.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Analyst - AI-Driven Search Marketing at TripAdvisor, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Analyst - AI-Driven Search Marketing

SQL
Search Performance Analysis
SEM/SEO Data Analysis
AI-Driven Analytics
Collaboration Skills
Ecommerce Experience
Traffic Improvement Strategies

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 TripAdvisor, 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 TripAdvisor. 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 TripAdvisor

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 TripAdvisor!

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.