At a Glance
- Tasks: Develop analytical models to influence pricing and promotions decisions.
- Company: Established consumer-facing business investing in data and analytics.
- Benefits: Up to £50,000 salary, hybrid work, and potential for permanent role.
- Other info: Mentorship opportunities and exposure to senior stakeholders.
- Why this job: Join a growing analytics team and make impactful commercial decisions.
- Qualifications: 5+ years in analytics, strong SQL skills, and retail experience.
The predicted salary is between 50000 - 50000 £ per year.
- Up to £50,000 + Benefits
- Hybrid - 2 days per week, Central London
We're working with a well-established consumer-facing business that is investing heavily in data and analytics to drive smarter commercial decision-making.
As part of this investment, they're expanding a newly formed analytics function focused on pricing, promotions, product strategy and trading performance.
This is an excellent opportunity for an experienced analyst to work on commercially critical projects, applying advanced analytics to influence pricing, promotional and trading decisions across the business.
The Role
- Lead Analyst - Pricing & Promotions
- Develop analytical models to support pricing, promotions and commercial trading decisions.
- Apply forecasting, optimisation, elasticity analysis and predictive modelling techniques.
- Translate customer, product and trading data into actionable commercial recommendations.
- Present insights to stakeholders, helping drive data-led decision making.
- Deliver deep-dive analysis into pricing, promotional and trading performance.
- Support and mentor junior analysts while contributing to the development of the wider analytics function.
What We're Looking For
- 5+ years' experience in Analytics, Commercial Analytics or Data Science.
- Strong SQL and Power BI (or a similar data visualisation tool).
- Python experience is advantageous.
- Experience within retail, consumer, e-commerce or another high-volume commercial environment.
- Strong background in pricing, promotions or commercial analytics.
- Experience with forecasting, optimisation, elasticity modelling or other commercial modelling techniques.
- Previous mentoring or coaching experience is desirable.
- What's on Offer
- Hybrid working (2 days per week in Central London).
- 1-year fixed-term contract with strong potential to become permanent.
- Opportunity to join a growing analytics function and work on high-impact commercial projects with excellent exposure to senior stakeholders.
- #J-18808-Ljbffr
Lead Analyst - Pricing and Promotions 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 - Pricing and Promotions
✨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 - Pricing and Promotions
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.
