Commercial Data Analyst TRAVEL in London

Commercial Data Analyst TRAVEL in London

London Full-Time 65000 - 65000 £ / year (est.) Home office (partial)
Harnham - Data & Analytics Recruitment

At a Glance

  • Tasks: Deliver insights that drive pricing strategy and customer retention in a fast-paced B2B environment.
  • Company: Join a growing analytics team in a dynamic B2B organisation.
  • Benefits: Competitive salary up to £65k plus benefits and flexible working arrangements.
  • Other info: Autonomous role with opportunities for professional growth and collaboration.
  • Why this job: Make a real impact by influencing key business decisions through data analysis.
  • Qualifications: Proven experience with Tableau, strong SQL skills, and commercial analytics exposure.

The predicted salary is between 65000 - 65000 £ per year.

We are seeking a commercially focused Data Analyst to join a growing analytics function within a fast-paced B2B organisation. Working closely with Commercial, Finance, and Customer Success teams, you will deliver insights that influence pricing strategy, customer retention, revenue growth, and operational performance. This is a highly autonomous role where you'll be expected to identify opportunities, manage stakeholder relationships, and translate complex data into clear, actionable recommendations for senior decision-makers.

  • Proven experience using Tableau in a commercial environment.
  • Strong SQL skills with the ability to write complex queries independently.
  • Experience owning analysis from problem definition through to recommendation.
  • Exposure to pricing, commercial analytics, customer retention, or revenue optimisation.
  • Experience working closely with Commercial, Finance, or Customer Success teams.
  • A track record of influencing business decisions through data rather than simply reporting on results.

Commercial Data Analyst TRAVEL in London employer: Harnham - Data & Analytics Recruitment

Join a dynamic and innovative B2B organisation that values your expertise as a Commercial Data Analyst. With a strong emphasis on employee growth, we offer a collaborative work culture where your insights directly impact pricing strategies and revenue growth. Enjoy the flexibility of working three days a week in the office, alongside competitive benefits that support your professional development and well-being.

Harnham - Data & Analytics Recruitment

Contact Details:

Harnham - Data & Analytics Recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Commercial Data Analyst TRAVEL 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 Harnham - Data & Analytics Recruitment!

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 Data Analyst TRAVEL at Harnham - Data & Analytics Recruitment.

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 Harnham - Data & Analytics Recruitment.

Apply Directly through Our Website

When you find a suitable opening like Commercial Data Analyst TRAVEL at Harnham - Data & Analytics Recruitment, 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 Data Analyst TRAVEL in London

Commercial Data Analysis
Tableau
SQL
Complex Query Writing
Stakeholder Management
Data Interpretation
Pricing Strategy

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 Harnham - Data & Analytics Recruitment, 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 Harnham - Data & Analytics Recruitment. 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 Harnham - Data & Analytics Recruitment

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 Harnham - Data & Analytics Recruitment!

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.