At a Glance
- Tasks: Transform data into actionable insights that drive business decisions in the beauty industry.
- Company: Join Beauty Pie, the revolutionary luxury beauty buyers' club.
- Benefits: Enjoy hybrid working, free membership, 25 days holiday, and health support.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Be at the forefront of data-driven decisions in a fast-paced beauty environment.
- Qualifications: Experience in Insight Analytics, SQL proficiency, and a passion for beauty.
The predicted salary is between 35000 - 45000 £ per year.
We’re Beauty Pie. We’re the world’s first luxury beauty and wellness buyers’ club, disrupting the beauty industry. Our members have access to shop from the best-quality beauty and wellness products and get a bigger piece of the Beauty Pie.
We’re looking for a curious and commercially minded Insights Analyst to join the Beauty Pie team on a 12 month fixed‑term contract. In this role, you'll sit at the heart of our data ecosystem; turning customer, trading, and market data into clear, actionable insights that shape decisions across the business. You'll work closely with teams including Marketing, Product, and Commercial to surface trends, build reports, and tell compelling stories through data. You'll be comfortable with tools like SQL, Excel, and data visualisation platforms, and you'll have a knack for making complex analysis feel simple and relevant to a range of stakeholders. If you're someone who thrives in a fast‑paced, direct‑to‑consumer environment and gets excited about beauty, membership, and data, we want to hear from you!
Job Requirements
- You have strong experience working in an Insight Analytics role, preferably for a DTC business (amazing if you have membership/subscription experience, not to worry if not!)
- You're technically confident, and are comfortable analysing complex, cross‑domain behavioural data through SQL, and potentially other languages, in partnership with your manager.
- Extensive experience in data dashboards (we use Lightdash, but open to others).
- You're able to understand, demonstrate and most importantly, be able to work with and without AI/LLMs.
- You thrive in ambiguity, ask incisive questions, take a structured approach to problem‑solving and provide clarity.
- In partnership with your manager, you enjoy working closely with senior stakeholders to enable even better data‑driven decision making.
- You enjoy collaborating with data peers, in data engineering and data science.
Job Responsibilities
- Alongside your manager, work with leaders across Beauty Pie to understand the drivers of business performance, analyse key trends and provide in‑depth analyses and recommendations through engaging stories to help the business make important strategic decisions.
- In partnership with the team, help the different functions across Beauty Pie understand the problems they’re trying to solve and make the right decisions.
- Use your broad exposure to Beauty Pie’s data and priorities to self‑identify and recommend areas of interest for analysis.
- Alongside your manager, partner with stakeholders to define analysis objectives and translate business objectives into high‑impact analytical questions.
- In partnership with the data team, present findings and recommendations to leaders and stakeholders in a clear and compelling manner.
- Partner with stakeholders to ensure insights get taken forward into actions.
- Collaborate with your manager and the wider data team to ensure we deliver impact to the business.
- In partnership with insight analytics team, role‑model insights and analytics across Beauty Pie.
Job Benefits
- Hybrid working with 3 days in the office in central London.
- Free membership to Beauty Pie+ and additional percentage off our products.
- 25 days holiday & your birthday off.
- Flexible bank holidays.
- Equal leave for all new parents regardless of gender or personal circumstances.
Health & Wellbeing
- Private Medical Insurance.
- Menopause support.
- £2,500 / $2,500 to spend on your fertility journey after 2 years of service.
- 10 therapy sessions through AXA PPP.
- Access to mental health support through Spill.
Beauty Pie is an equal opportunity employer. The company will not unlawfully discriminate on grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, religion or belief, colour, nationality, ethnic or national origin, disability or age, pregnancy or trade union membership.
StudySmarter Expert Advice🤫
We think this is how you could land Insight Analyst (12m FTC) in London
✨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 Beauty Pie 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 Beauty Pie.
✨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 Beauty Pie.
We think you need these skills to ace Insight Analyst (12m FTC) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Beauty Pie, 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 Beauty Pie, 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 Beauty Pie’s attention and show the tangible impact of your work.
How to prepare for a job interview at Beauty Pie
✨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 Beauty Pie.
✨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 Beauty Pie.
✨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 Beauty Pie.
