At a Glance
- Tasks: Join a dynamic team as a Data Analyst, analysing data to drive business decisions.
- Company: Be part of a thriving London-based fashion e-commerce business with ambitious growth plans.
- Benefits: Enjoy a competitive salary, generous holiday, hybrid working, and professional development opportunities.
- Why this job: Make a real impact in a fast-paced environment while collaborating with various teams.
- Qualifications: 2+ years experience in data analysis, strong SQL skills, and proficiency in data visualisation tools required.
- Other info: Ideal for data enthusiasts passionate about e-commerce and looking for a supportive work culture.
The predicted salary is between 28800 - 43200 £ per year.
We are delighted to be representing a thriving and innovative fashion business based in London. They are seeking a talented and enthusiastic Data Analyst to join their growing team. This is an exciting opportunity to play a key role in driving business decisions through insightful data analysis within a dynamic and fast-paced environment. Our client is a successful online retailer with ambitious growth plans. They pride themselves on their customer-centric approach and are looking for a data-driven individual to help them better understand their customers, optimise their online presence, and improve overall business performance.
The successful candidate will be responsible for collecting, cleaning, analysing, and interpreting large datasets to provide actionable insights to various departments across the business, including marketing, sales, and operations. They will work closely with stakeholders to understand their needs and translate them into data-driven solutions.
Key Responsibilities:- Gathering and cleaning data from various sources, ensuring data integrity and accuracy.
- Performing exploratory data analysis to identify trends, patterns, and anomalies.
- Developing and maintaining regular and ad-hoc reports and dashboards using data visualisation tools (e.g., Tableau, Power BI).
- Conducting in-depth analysis on customer behaviour, website performance, marketing campaigns, and sales data.
- Providing actionable insights and recommendations to stakeholders to improve business outcomes.
- Collaborating with different teams to understand their data requirements and provide relevant analysis.
- Contributing to the development and improvement of data collection and analysis processes.
- Staying up-to-date with the latest data analysis techniques and tools.
- Proven experience (typically 2+ years) working as a Data Analyst, ideally within an e-commerce environment.
- Strong proficiency in SQL and experience working with relational databases.
- Experience with data visualisation tools such as Tableau, Power BI, or similar.
- Excellent analytical and problem-solving skills with the ability to interpret complex data and translate it into clear and concise insights.
- Strong communication and presentation skills, with the ability to effectively communicate findings to both technical and non-technical audiences.
- Experience with statistical analysis and data modelling techniques.
- Familiarity with web analytics tools (e.g., Google Analytics).
- A proactive and self-motivated approach with a strong attention to detail.
- The ability to work effectively both independently and as part of a team.
- Competitive salary (commensurate with experience).
- Generous holiday allowance.
- Company pension scheme.
- Opportunities for professional development.
- A collaborative and supportive work environment.
- Hybrid working 4 days per week in their London office, with 1 day per week working from home.
This is an excellent opportunity for a driven Data Analyst to join a successful and growing e-commerce business in London and make a significant impact through their analytical skills. If you are a data enthusiast with a passion for e-commerce and are looking for a role with a hybrid working model, we encourage you to apply.
Please note due to high volumes of applications unfortunately we are not always able to respond to all unsuccessful applicants. However we wish everyone who applies the very best with their job search.
Data Analyst TCL:43552 employer: The Candidate Recruitment Agency
Contact Detail:
The Candidate Recruitment Agency Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst TCL:43552
✨Tip Number 1
Familiarise yourself with the latest data analysis tools and techniques, especially SQL and data visualisation software like Tableau or Power BI. Being well-versed in these tools will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the e-commerce sector, particularly those who work in data analysis. Attend industry events or join online forums to connect with others, as personal recommendations can often lead to job opportunities.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data to drive business decisions in previous roles. Having concrete case studies ready will help you illustrate your analytical skills and problem-solving abilities during interviews.
✨Tip Number 4
Research the company’s current data practices and be ready to suggest improvements or new ideas during your interview. Showing that you’ve done your homework and have a proactive mindset can set you apart from other candidates.
We think you need these skills to ace Data Analyst TCL:43552
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Data Analyst, especially in e-commerce. Emphasise your proficiency in SQL, data visualisation tools like Tableau or Power BI, and any statistical analysis skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and e-commerce. Mention specific examples of how you've used data to drive business decisions and improve performance in previous roles.
Showcase Your Analytical Skills: In your application, provide examples of projects where you gathered, cleaned, and analysed data. Highlight any insights you provided that led to actionable recommendations for stakeholders.
Research the Company: Familiarise yourself with the fashion business and its customer-centric approach. Understanding their values and goals will help you tailor your application and demonstrate your enthusiasm for the role.
How to prepare for a job interview at The Candidate Recruitment Agency
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis to drive business decisions in your previous roles. Be ready to explain your thought process and the impact of your insights.
✨Familiarise Yourself with Tools
Make sure you are well-versed in SQL and any data visualisation tools mentioned in the job description, such as Tableau or Power BI. You might be asked to demonstrate your proficiency or discuss how you've used these tools in past projects.
✨Understand the Business Context
Research the company and its e-commerce environment. Understand their customer-centric approach and think about how your skills can help them optimise their online presence and improve performance.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach gathering and analysing data for specific business challenges they might face.