At a Glance
- Tasks: Transform raw data into strategic insights and build custom reports for clients.
- Company: Join a dynamic Data Labs team at a leading tech company.
- Benefits: Competitive pay, career growth opportunities, and a fun, inclusive work culture.
- Other info: Enjoy a vibrant workplace with regular team outings and a focus on diversity.
- Why this job: Make an impact by innovating with data and collaborating with top professionals.
- Qualifications: 2+ years of SQL/PySpark experience and strong analytical skills required.
The predicted salary is between 40000 - 50000 £ per year.
We’re looking for a sharp and driven Data Analyst to join our fast‑paced Data Labs team. As part of a high‑performing group of analysts, you’ll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad‑hoc insights. The work is intense and constantly evolving – it requires strong analytical skills and the ability to work independently under pressure. You’ll need to be curious, adaptable, and willing to dive deep to find answers where others might stop.
Day‑to‑Day Responsibilities
- Build custom‑made reports end to end — from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
- Apply your expertise in quantitative analysis and data mining to turn data into insights.
- Conduct research and develop tools that help answer client business questions using Similarweb’s raw data sets and algorithms.
- Partner with Engineering teams to establish infrastructure that scales solutions.
- Collaborate with the Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.
Desired Qualifications
- At least 2 years experience with SQL/PySpark for data analysis.
- Experience in Python scripting.
- Excellent verbal and written communication skills in English.
- Experience working with clients – a big advantage.
- Proficiency in Online Marketing/Online Services – advantage.
- At least 2 years work experience in an online/tech company – advantage.
- Team player, autodidact, fast learner with strong analytical, research and business skills.
- Demonstrates initiative and a proactive mindset.
- Experienced in independently managing complex projects from start to finish.
- Bachelor’s degree in Statistics, Computer Science, Engineering, or a related field.
- Master’s degree – big advantage.
Benefits
- Product Experience – You’ll actually love the product you work with; our customers and employees alike value the platform’s impact.
- Opportunity to Innovate – We encourage an open dialogue and empower employees to bring ideas to the table.
- Competitive Compensation – We offer competitive packages and a strong emphasis on community with regular team outings and happy hours.
- Career Growth – Whether it’s career week, personalized coaching, or learning solutions, you’ll find the tools and opportunities to grow in any direction.
- Diversity & Inclusion – We commit to inclusivity across all identities, fostering a workplace where everyone can bring their authentic selves.
As set forth in Similarweb’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Product Data Scientist (Data Labs) employer: SimilarWeb
At Similarweb, we pride ourselves on being an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to contribute their ideas. Our Data Labs team is not only at the forefront of data analysis but also benefits from a culture that prioritises career growth, inclusivity, and community engagement through regular team outings. With competitive compensation and opportunities for personal development, we ensure that our employees can flourish both professionally and personally in a fast-paced, collaborative setting.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Scientist (Data Labs)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like SimilarWeb!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Product Data Scientist (Data Labs) at SimilarWeb.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like SimilarWeb.
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We think you need these skills to ace Product Data Scientist (Data Labs)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SimilarWeb, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SimilarWeb. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SimilarWeb
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SimilarWeb!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
