At a Glance
- Tasks: Transform complex e-commerce data into intuitive analytical solutions and build engaging dashboards.
- Company: Join Profitero+, a leading digital commerce company trusted by over 4,000 brands globally.
- Benefits: Enjoy competitive pay, health benefits, flexible work-life balance, and ongoing learning opportunities.
- Other info: Inclusive workplace with a focus on diversity, collaboration, and career growth.
- Why this job: Make a real impact in e-commerce by turning data into actionable insights for clients.
- Qualifications: 3+ years in analytics, advanced SQL skills, and experience with BI platforms like Sigma.
The predicted salary is between 45000 - 55000 £ per year.
Описание
Profitero+ is the leading digital commerce company, trusted by more than 4,000 brands worldwide.
We help brands break down silos and turn data into decisive action through intelligence-driven, end-to-end solutions that unify media, content, operations and strategy.
As a Data Analyst, you will play a key role in transforming complex e-commerce data into reliable, intuitive analytical solutions that help our customers make better decisions.
- Задачи
- Build, maintain and enhance dashboards in Sigma, ensuring they are accurate, intuitive and aligned with client and business requirements.
- Design and maintain ETL processes for a range of client data, optimising back-end data structures to ensure dashboards are reliable and performant.
This will primarily involve Snowflake SQL, alongside a working knowledge of Python and experience with dbt workflows.
- Use Git and Git Hub to manage version control across analytics code and data transformation projects, following collaborative development practices such as branching, pull requests, code reviews and clear documentation.
- Adhere to team processes and delivery standards, including using Jira to manage work and record time accurately.
- Partner directly with clients and internal stakeholders to gather and clarify technical requirements, translate business questions into analytical solutions, and recommend the most effective approach.
- Mentor junior team members, providing technical guidance, constructive feedback and support with problem-solving.
- Develop deep expertise in Profitero+'s industry, technology, products and data offerings, with a strong understanding of how related technologies address customers' business challenges.
- Research and help develop new product and analytical offerings in response to client needs, market developments and emerging technologies, including AI- and machine-learning-based solutions.
- Требования
- 3+ years' experience in an analytics role.
- Advanced SQL skills, with experience working in a modern cloud data warehouse such as Snowflake or GBQ and using a data transformation and modelling tool such as dbt.
- The ability to review code written by others and identify logic or data-quality issues before they reach production dashboards, and have sufficient SQL and Python expertise to read, debug and extend existing scripts.
- Hands-on experience building dashboards and analytical solutions in BI platforms such as Sigma, Looker, Power BI or similar.
- Practical, day-to-day experience using AI-assisted coding and analysis tools, such as Claude Code, Cortex or Coco.
- Write clear specifications for AI agents and critically review their outputs for accuracy, quality and suitability before release.
- A proven ability to translate client requirements into clear product scopes and communicate complex technical concepts confidently to non-technical audiences.
- Будет плюсом: Experience applying advanced analytics or data science techniques, such as predictive modelling, regression analysis or natural language processing;
- Будет плюсом: Experience using work-management or product-development software, with Jira preferred;
- Будет плюсом: Experience in direct-to-consumer analytics;
- Будет плюсом: Experience working with Git and Git Hub.
- Условия
- An inclusive workplace that promotes diversity and collaboration;
- access to ongoing learning and development opportunities;
- competitive compensation and benefits package;
- flexibility to support work-life balance;
- comprehensive health benefits for you and your family;
- generous paid leave and holidays;
- wellness program and employee assistance.
- #J-18808-Ljbffr
Data analyst in e-commerce in London employer: Profitero+
Profitero+ is an exceptional employer that fosters a culture of innovation and collaboration in the heart of Greater London. With a strong commitment to employee development, they provide ample opportunities for growth in AI and machine learning, alongside a flexible hybrid working model that promotes work-life balance. Joining Profitero+ means being part of a diverse team dedicated to pushing the boundaries of technology while enjoying a supportive and dynamic work environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data analyst in e-commerce in London
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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 Profitero+.
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We think you need these skills to ace Data analyst in e-commerce in London
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 Profitero+, 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 Profitero+. 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 Profitero+
✨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 Profitero+!
✨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.
