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- Tasks: Review and enhance analytics artifacts while creating original insights and analyses.
- Company: Join a leading AI research lab backed by top investors in a remote role.
- Benefits: Earn $80–$120/hour with flexible scheduling and the chance to work independently.
- Other info: Quick application process with daily reviews; get ready for an AI interview!
- Why this job: Make an impact by elevating analytical standards and showcasing your data expertise.
- Qualifications: 4+ years in data analysis, skilled in SQL, Python, or R, with strong communication.
The predicted salary is between 64000 - 96000 £ per year.
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Artifact Expert — Data Analyst
Type: Contract
Compensation: $80–$120/hour
Location: Remote
Role Responsibilities
- Review existing analytics slides, SQL/Python notebooks, and sheets. Provide detailed, constructive feedback to enhance clarity and accuracy.
- Create original analytics artifacts such as insight decks, ad-hoc analyses, and A/B-test write-ups. Ensure high standards of analytical rigor.
- Annotate and comment on artifacts to improve structure and narrative. Elevate the analytical rigor of each piece.
- Apply data-analysis expertise to ensure artifacts reflect realistic, high-quality professional output.
- Work independently and asynchronously to deliver consistent, high-quality work on a flexible schedule.
Qualifications
- 4+ years of professional experience in data analysis, analytics engineering, or data science.
- Comfortable with SQL, Python or R, and presenting findings to non-technical stakeholders.
- Strong attention to detail and written communication.
- Self-directed; can deliver consistent, high-quality work on a flexible schedule.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
For details about the interview process and platform information, please check: any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Analytics Engineer in London employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in London
✨Tip Number 1
Get familiar with the company and its culture. Research Mercor and understand their mission and values. This will help you tailor your approach during interviews and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Practice your SQL and Python skills! Since these are key tools for the role, brush up on your technical abilities. You could even create a mini-project to showcase your skills, which can be a great talking point during your interview.
✨Tip Number 3
Prepare to discuss your past projects in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your analytical rigor and problem-solving skills, which are crucial for the role.
✨Tip Number 4
Don't forget to apply through our website! It’s quick and easy, and our team reviews applications daily. Completing your AI interview and application steps promptly will put you in a great position to land that job!
We think you need these skills to ace Analytics Engineer in London
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience in data analysis, SQL, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about analytics and how your background makes you a perfect fit for the position. Keep it concise but impactful!
Showcase Your Communication Skills: Since you'll be presenting findings to non-technical stakeholders, make sure your written application reflects strong communication skills. Clarity and attention to detail are key, so proofread your work before submitting!
Complete the AI Interview: Don’t forget to complete the AI interview after uploading your resume! It’s a crucial part of our application process, and we review applications daily, so get it done to boost your chances!
How to prepare for a job interview at Mercor
✨Know Your Tools
Make sure you're well-versed in SQL, Python, or R before the interview. Brush up on your coding skills and be ready to discuss how you've used these tools in past projects. This will show that you can hit the ground running.
✨Showcase Your Analytical Skills
Prepare examples of your previous work where you created analytics artifacts like insight decks or A/B-test write-ups. Be ready to explain your thought process and how you ensured high standards of analytical rigor in your outputs.
✨Communicate Clearly
Since you'll be presenting findings to non-technical stakeholders, practice explaining complex data concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Emphasise Independence and Flexibility
Highlight your experience working independently and asynchronously. Share examples of how you've managed your time effectively to deliver high-quality work on a flexible schedule, as this is crucial for the role.