At a Glance
- Tasks: Lead analytics projects and drive pricing strategy through data insights.
- Company: Dynamic ecommerce company undergoing exciting pricing transformation.
- Benefits: Hybrid working, professional development, and opportunities for career progression.
- Other info: Collaborative culture with exposure to large datasets and modern analytics tools.
- Why this job: Make a real impact on business performance with data-driven decisions.
- Qualifications: 5+ years in analytics, strong SQL skills, and experience with dashboards.
The predicted salary is between 50000 - 60000 £ per year.
Location: London (Hybrid – 2 days per week in the office)
Are you an analytical problem solver with a passion for turning data into commercial impact? We're looking for an experienced Pricing Analyst to join a growing analytics team where you'll play a key role in shaping pricing strategy across a fast-paced ecommerce environment. Working with large datasets, you'll help drive smarter buying and selling decisions through insightful analysis, experimentation, and data-driven recommendations. This is an excellent opportunity to work at the heart of a business undergoing an exciting pricing transformation, collaborating with commercial, product, technology, operations, and analytics teams to influence strategic decisions.
What You'll Be Doing
- Lead end-to-end analytics projects from data preparation through to actionable business recommendations.
- Build and maintain dashboards and reporting that support pricing decisions.
- Analyse pricing performance, customer behaviour, and commercial trends.
- Design, execute, and evaluate pricing experiments and A/B tests.
- Analyse pricing simulations and measure business impact.
- Identify opportunities through root cause analysis and commercial insight.
- Present findings clearly to both technical and non-technical stakeholders.
- Automate reporting processes to improve efficiency.
- Work closely with Product, Technology, Commercial, and Operations teams on pricing initiatives.
What We're Looking For
- 5+ years' experience in an analytics or data-focused role.
- Strong SQL skills with experience querying large datasets.
- Experience building dashboards using Power BI, Tableau, or Looker.
- Knowledge of Python or R for data analysis.
- Strong understanding of statistical analysis and experimentation.
- Excellent communication and stakeholder management skills.
- Experience within ecommerce, marketplaces, retail, or another commercial environment is highly desirable.
- Degree in Mathematics, Statistics, Computer Science, or a related discipline.
Desirable Experience
- Customer segmentation and behavioural analysis.
- Lifetime Value (LTV) modelling.
- Predictive analytics and forecasting.
- Google Cloud Platform or similar cloud data environments.
What's on Offer
- Work on commercially significant pricing initiatives that directly influence business performance.
- Exposure to large-scale datasets and modern analytics tools.
- A collaborative, data-driven culture with opportunities to shape the future of pricing.
- Hybrid working with flexibility.
- Excellent opportunities for professional development and career progression.
If you're passionate about using data to solve commercial challenges and enjoy working in a collaborative, fast-moving environment, we'd love to hear from you.
Pricing Analyst - 12 Month FTC employer: IO
iO is an exceptional employer that fosters a collaborative and innovative work culture, perfect for a Principal Data Architect looking to make a significant impact in the field of data architecture. With hybrid working arrangements and a focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies like AWS and Snowflake in the vibrant city of London. Join us to be part of a forward-thinking team that values your expertise and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Analyst - 12 Month FTC
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like IO before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
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We think you need these skills to ace Pricing Analyst - 12 Month FTC
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at IO, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to IO, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab IO’s attention and show the tangible impact of your work.
How to prepare for a job interview at IO
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at IO.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at IO.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at IO.
