Ecommerce Data Analyst: Growth & Insights (Hybrid) in Basingstoke

Ecommerce Data Analyst: Growth & Insights (Hybrid) in Basingstoke

Basingstoke Full-Time 35000 - 42500 £ / year (est.) Home office (partial)
TeamJobs

At a Glance

  • Tasks: Transform data into actionable insights to drive ecommerce growth and optimise strategies.
  • Company: Join TeamJobs, a dynamic company focused on ecommerce acceleration.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional development.
  • Other info: Collaborate with retail and marketing leads in a fast-paced environment.
  • Why this job: Be the analytical backbone of a team driving real impact in the ecommerce space.
  • Qualifications: 3+ years in ecommerce analytics with advanced Excel and Power BI/Tableau skills.

The predicted salary is between 35000 - 42500 £ per year.

TeamJobs is seeking an Ecommerce Analytics professional for a hybrid role based in Basingstoke. You will serve as the analytical backbone of the ecommerce acceleration team, translating data into commercial actions and prioritising opportunities across retailers and SKUs.

With 3+ years in ecommerce analytics, advanced Excel and Power BI/Tableau experience, you will partner with retail and marketing leads to drive growth, measure ROI, and automate reporting to inform strategic investment.

Ecommerce Data Analyst: Growth & Insights (Hybrid) in Basingstoke employer: TeamJobs

At TeamJobs, we pride ourselves on being an excellent employer, offering a supportive work culture that values skill development and employee well-being. Located in Poole, our modern facility provides a collaborative environment where CNC Turners can thrive, with opportunities for growth, competitive salaries, and unique benefits like a £1,000 retention bonus and annual profit-related bonuses, making it a rewarding place to advance your career.

TeamJobs

Contact Details:

TeamJobs Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Ecommerce Data Analyst: Growth & Insights (Hybrid) in Basingstoke

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 TeamJobs!

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 Ecommerce Data Analyst: Growth & Insights (Hybrid) at TeamJobs.

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 TeamJobs.

Apply Directly through Our Website

When you find a suitable opening like Ecommerce Data Analyst: Growth & Insights (Hybrid) at TeamJobs, 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 Ecommerce Data Analyst: Growth & Insights (Hybrid) in Basingstoke

Ecommerce Analytics
Data Translation
Advanced Excel
Power BI
Tableau
Commercial Acumen
ROI Measurement

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 TeamJobs, 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 TeamJobs. 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 TeamJobs

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 TeamJobs!

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.