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For Companies At a Glance
- Tasks: Uncover trends and drive growth using data insights in e-commerce.
- Company: Join a rapidly growing online retail company focused on innovation.
- Benefits: Enjoy hybrid flexibility, competitive salary, and impactful projects.
- Why this job: Shape the future of sustainable commerce while working with top-tier teams.
- Qualifications: 5+ years in data insight with strong e-commerce analytics skills required.
- Other info: Be part of a Disability Confident Committed employer.
The predicted salary is between 48000 - 72000 £ per year.
Are you a data-driven strategist with a passion for e-commerce and re-commerce? Do you thrive in Agile-paced environments where your insights directly shape business decisions and customer experiences? If so, we have an exciting opportunity for you to join a rapidly growing online retail company as a Senior Data Insight Analyst.
About the Role
As a key member of the Data Insight Team, the analytical heartbeat of the business, you'll use vast datasets to uncover trends, improve pricing, enhance customer journeys, and drive strategic growth across multiple brands. You'll work closely with marketing, product, and executive teams to turn data into useful insights that fuel innovation and performance.
Key Responsibilities
- For the B2C Retail Brand:
- Develop pricing algorithms balancing supply, demand, and margin targets.
- Build dashboards to track product launches and promotional performance.
- Analyse customer acquisition channels and ROI using tools like Google Analytics, Ads, Meta, Bing.
- Map customer journeys and identify conversion drivers.
- Enhance loyalty programs and customer lifetime value.
- Lead A/B and multivariate testing to improve UX and conversion.
- Drive segmentation and personalisation strategies.
- Refine and expand product valuation algorithms.
- Introduce automation and machine learning to valuation processes.
- Improve dashboards for customer behaviour insights.
- Collaborate on testing programs to improve site performance.
- Enhance competitor analysis and integrate findings into strategy.
What We're Looking For
- 5+ years of experience in data insight, pricing, or revenue optimisation.
- Experienced with large datasets from ingestion to analysis.
- Strong background in e-commerce analytics (Google, Meta, Bing).
- Advanced SQL, Excel (including VBA/macros), and Power BI skills.
- Experience with Python is a plus.
- Highly numerate with excellent problem-solving skills.
- Independent thinker with strong communication and presentation abilities.
Why Join?
- Be part of a top-tier global e-commerce player.
- Work on high-impact projects from day one.
- Enjoy a flexible working environment.
- Shape the future of circular retail and sustainable commerce.
- Agile-track your career with executive-level exposure.
Senior Data Insight Analyst employer: hubbul
Contact Detail:
hubbul Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Insight Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in e-commerce and re-commerce. Understanding the current market landscape will help you speak confidently about how your insights can drive innovation and performance during interviews.
✨Tip Number 2
Brush up on your technical skills, especially in SQL, Excel, and Power BI. Being able to demonstrate your proficiency in these tools during discussions will set you apart as a strong candidate for the role.
✨Tip Number 3
Prepare examples of past projects where you've successfully used data to influence business decisions. Highlighting your experience with A/B testing and customer journey mapping will showcase your ability to deliver actionable insights.
✨Tip Number 4
Network with professionals in the e-commerce analytics field. Engaging with industry peers can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job with us.
We think you need these skills to ace Senior Data Insight Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data insight, e-commerce analytics, and any specific tools mentioned in the job description, such as SQL, Excel, and Google Analytics. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, express your passion for e-commerce and re-commerce. Discuss how your previous experiences align with the responsibilities of the role, particularly in developing pricing algorithms and enhancing customer journeys.
Showcase Your Analytical Skills: Provide examples of past projects where you used large datasets to drive business decisions. Highlight any experience with A/B testing, customer segmentation, or automation that demonstrates your ability to turn data into actionable insights.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data-driven role.
How to prepare for a job interview at hubbul
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data to drive business decisions. Highlight your experience with large datasets and tools like Google Analytics, SQL, and Power BI, as these are crucial for the role.
✨Understand E-commerce Trends
Familiarise yourself with current trends in e-commerce and re-commerce. Be ready to discuss how these trends can impact pricing strategies and customer journeys, demonstrating your industry knowledge.
✨Demonstrate Problem-Solving Abilities
Be prepared to tackle hypothetical scenarios during the interview. Show how you approach problem-solving, especially in relation to data insights and customer behaviour analysis.
✨Communicate Clearly and Confidently
Since strong communication skills are essential, practice explaining complex data insights in a simple manner. This will help you convey your ideas effectively to non-technical stakeholders.
