At a Glance
- Tasks: Own ecommerce reporting and performance analysis to drive actionable insights.
- Company: Fast-growing consumer brand based in Oxfordshire with a dynamic team.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a team at the heart of trading, marketing, and product initiatives.
- Why this job: Join a rapidly evolving environment and make a real impact on digital channels.
- Qualifications: Strong ecommerce analysis experience and familiarity with GA4, BigQuery, Looker, and SQL.
The predicted salary is between 35000 - 45000 £ per year.
A fast-growing consumer brand based in Oxfordshire is seeking an Ecommerce Analyst. The role includes taking full ownership of ecommerce reporting and performance analysis, creating clarity and actionable insights across digital channels.
Candidates should have strong ecommerce analysis experience, familiarity with GA4, BigQuery, Looker, and SQL, along with a knack for producing scalable reporting.
Join a dynamic team at the heart of trading, marketing, and product initiatives in a rapidly evolving environment.
Hybrid Ecommerce Data Analyst: Insights & Reporting employer: Harnham
Join a fast-growing consumer brand in Oxfordshire that values innovation and collaboration, offering a vibrant work culture where your insights directly impact business success. With a focus on employee growth, you will have access to continuous learning opportunities and the chance to work alongside a dynamic team dedicated to driving performance across digital channels. Enjoy the unique advantage of being part of a rapidly evolving environment that encourages creativity and strategic thinking.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Ecommerce Data Analyst: Insights & Reporting
✨Get Involved in Data Science Meetups
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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.
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We think you need these skills to ace Hybrid Ecommerce Data Analyst: Insights & Reporting
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, 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. 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
✨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!
✨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.
