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- Tasks: Shape product impact and influence strategy using data insights.
- Company: Leading tech company in London with a focus on innovation.
- Benefits: Opportunities for growth within a world-class analytics community.
- Why this job: Make a real impact by driving strategy through data analysis.
- Qualifications: Bachelor's degree and 4+ years of analytical experience required.
- Other info: Collaborate with cross-functional teams in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in London is looking for a Data Scientist, Product Analytics, to shape product impact and influence strategy using data insights. This role involves defining KPIs, conducting experiments, and collaborating with cross-functional teams.
Candidates should have a Bachelor's degree and 4+ years of analytical experience with data querying languages like SQL and scripting languages like Python.
The company offers opportunities for growth within a world-class analytics community.
Product Analytics Data Scientist — Drive Strategy & Impact employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Analytics Data Scientist — Drive Strategy & Impact
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from your university who work at the company. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data projects, especially those involving SQL and Python. This will help us demonstrate our analytical prowess during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data scientists. We can even do mock interviews with friends to boost our confidence and refine our answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our experience aligns with the role's requirements.
We think you need these skills to ace Product Analytics Data Scientist — Drive Strategy & Impact
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your analytical experience and proficiency in SQL and Python. We want to see how you've used these skills to drive product impact in your previous roles.
Define Your KPIs: In your application, don’t just list your past experiences; explain how you’ve defined KPIs and conducted experiments. This will show us that you understand the importance of metrics in shaping strategy.
Collaborate Like a Pro: Since this role involves working with cross-functional teams, share examples of how you've successfully collaborated with others. We love seeing teamwork in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and get to know you better. Don’t miss out on this opportunity!
How to prepare for a job interview at Meta
✨Know Your Data Inside Out
Make sure you’re well-versed in the data querying languages mentioned in the job description, especially SQL and Python. Brush up on your skills by working on sample datasets or projects that showcase your ability to define KPIs and conduct experiments.
✨Showcase Your Analytical Mindset
Prepare to discuss specific examples from your past experience where your analytical skills made a significant impact. Think about how you’ve used data insights to influence product strategy and be ready to share those stories during the interview.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be prepared to talk about your experience collaborating with others. Highlight any projects where you worked alongside different departments and how you contributed to achieving common goals.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s analytics community and growth opportunities. Inquire about their current projects or how they measure success in product analytics to demonstrate your enthusiasm for the role.
