Commercial Analytics Lead β€” Data Strategy & Insights in London

Commercial Analytics Lead β€” Data Strategy & Insights in London

London Full-Time 35000 - 42000 Β£ / year (est.) No working from home possible
loveholidays

At a Glance

  • Tasks: Lead a team to deliver top-notch analytical solutions and optimise commercial decisions.
  • Company: Join loveholidays, a dynamic company in the travel industry.
  • Benefits: Enjoy a 5% pension contribution, training budget, and 25 days of holiday plus public holidays.
  • Other info: Great opportunity for career growth in a vibrant environment.
  • Why this job: Make a real impact in commercial analytics while leading a high-performing team.
  • Qualifications: Expert SQL skills and experience with Tableau or Looker required.

The predicted salary is between 35000 - 42000 Β£ per year.

loveholidays is seeking a Principal Analyst for Commercial Analytics to lead a high-performing team and deliver analytical solutions. This role involves managing analysts, optimizing commercial decisions, and analyzing trading performance.

The ideal candidate will have:

  • Expert SQL skills
  • Experience with tools like Tableau or Looker
  • A strong background in commercial analytics

Attractive perks include a 5% pension contribution, training budget, and 25 days of holidays plus public holidays.

Commercial Analytics Lead β€” Data Strategy & Insights in London employer: loveholidays

At loveholidays, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through our generous training budget and supportive environment, allowing you to thrive in your role as a Commercial Analytics Lead. With attractive benefits such as a 5% pension contribution and 25 days of holiday plus public holidays, we ensure our team members feel valued and motivated to achieve their best.

loveholidays

Contact Details:

loveholidays Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Commercial Analytics Lead β€” Data Strategy & Insights in London

✨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 loveholidays!

✨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 Commercial Analytics Lead β€” Data Strategy & Insights at loveholidays.

✨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 loveholidays.

✨Apply Directly through Our Website

When you find a suitable opening like Commercial Analytics Lead β€” Data Strategy & Insights at loveholidays, 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 Commercial Analytics Lead β€” Data Strategy & Insights in London

SQL
Tableau
Looker
Commercial Analytics
Team Management
Analytical Solutions
Trading Performance Analysis

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 loveholidays, 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 loveholidays. 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 loveholidays

✨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 loveholidays!

✨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.