At a Glance
- Tasks: Analyse pricing strategies and drive revenue growth through data-driven insights.
- Company: Dynamic eCommerce business with a global presence and innovative culture.
- Benefits: Competitive salary, hybrid work model, and strong professional development opportunities.
- Other info: Collaborative environment with exposure to complex challenges and career progression.
- Why this job: Make a real impact on pricing strategies that shape international markets.
- Qualifications: Strong SQL skills and experience with large datasets in a commercial analytics role.
The predicted salary is between 76500 - 85000 £ per year.
- Lead Analyst - 12-month FTC
- London - Hybrid, 2 days per week
This is an opportunity to join a growing, data-driven business where pricing sits at the heart of commercial strategy.
You'll work across pricing, experimentation, forecasting and revenue optimisation, helping shape decisions that drive sustainable growth across international markets.
The Company
They are an established e Commerce and marketplace business operating at global scale, combining technology, analytics and commercial insight to support continued growth.
With a large international workforce and operations across multiple regions, they are investing heavily in their digital capabilities and customer proposition.
Their analytics function plays a critical role in decision-making, partnering with commercial, product, engineering and finance teams to deliver measurable business impact.
As they continue to evolve their pricing and revenue strategy, they are looking for a commercially minded Pricing Analyst to join the team.
The Role
You will work closely with commercial and analytics stakeholders to optimise pricing decisions and drive long-term revenue growth.
Key responsibilities include
- Evaluate pricing strategies and their impact on revenue, customer behaviour and long-term value.
- Analyse pricing performance and provide recommendations to support business growth.
- Design, execute and evaluate A/B tests and promotional activity.
- Build analytical frameworks to measure performance and identify commercial opportunities.
- Support forecasting, revenue planning and business performance modelling.
- Work with large-scale datasets to uncover trends and actionable insights.
- Partner with Data Science teams on pricing elasticity, demand forecasting and revenue optimisation initiatives.
- Collaborate with Data Engineering, Product, Platform and Finance teams to deliver data-led solutions.
- Translate complex analysis into clear business recommendations for senior stakeholders.
- Support both UK and US markets, considering differing commercial dynamics and customer behaviours.
- Your Skills & Experience
- Strong SQL skills with the ability to write and troubleshoot code from scratch.
- Experience working with large, complex datasets.
- Strong commercial analytics experience within an e Commerce, marketplace or similar data-rich environment.
- Experience measuring and analysing experiments, including A/B testing.
- Excellent stakeholder management and communication skills.
- Ability to translate analytical findings into practical commercial recommendations.
- Exposure to forecasting, pricing analytics, customer value analysis or revenue optimisation.
- Python experience is beneficial but not essential.
- Experience building models or analytical frameworks would be advantageous.
- What They Offer
- Exposure to complex pricing and commercial challenges at scale.
- Opportunity to work across international markets.
- High visibility role with direct impact on growth and revenue strategy.
- Collaborative environment working alongside Analytics, Data Science, Product and Commercial teams.
- Strong opportunities for professional development and progression.
How to Apply
If you're interested in using analytics, pricing and experimentation to influence strategic business decisions, apply today to learn more about this opportunity.
Lead Analyst - FTC in Slough employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Analyst - FTC in Slough
✨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 Harnham 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
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Harnham.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Harnham.
We think you need these skills to ace Lead Analyst - FTC in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Harnham, 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 Harnham, 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 Harnham’s attention and show the tangible impact of your work.
How to prepare for a job interview at Harnham
✨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 Harnham.
✨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 Harnham.
✨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 Harnham.
