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For Companies At a Glance
- Tasks: Review and create analytics artifacts, ensuring clarity and accuracy.
- Company: Join a forward-thinking company that values data-driven insights.
- Benefits: Earn $120/hr, enjoy remote work, and flexible hours.
- Other info: Perfect for self-directed individuals seeking part-time flexibility.
- Why this job: Make an impact by enhancing data analysis quality and clarity.
- Qualifications: 4+ years in data analysis; skilled in SQL, Python, or R.
The predicted salary is between 24000 - 30000 £ per year.
About the Role
We're looking for experienced data analysts and data scientists to work as Artifact Experts. You'll review, create, and comment on analytics artifacts — dashboards, analysis decks, SQL/Python notebooks, and modeling spreadsheets — to ensure they meet a high standard of clarity, accuracy, and rigor.
What You'll Do
- Review existing analytics slides, notebooks, and sheets and provide detailed, constructive feedback
- Create original analytics artifacts from scratch (insight decks, ad-hoc analyses, A/B-test write-ups, modeling spreadsheets)
- Annotate and commentate on artifacts to improve structure, narrative, and analytical rigor
- Apply data-analysis expertise to ensure artifacts reflect realistic, high-quality professional output
Requirements
- 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
Artifact expert - Data Analyst $120/hr [part time/ Remote] in London employer: Mercor Ai
Contact Detail:
Mercor Ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artifact expert - Data Analyst $120/hr [part time/ Remote] in London
✨Tip Number 1
Network like a pro! Reach out to fellow data analysts and professionals in your field. Join online forums or local meetups to connect with others who might know about job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best analytics artifacts. Include dashboards, analysis decks, and any cool projects you've worked on. This will give potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your past projects and how you approached challenges. Practising common interview questions can also help you feel more confident.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that you won't find elsewhere. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Artifact expert - Data Analyst $120/hr [part time/ Remote] in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL, Python, or R in your application. We want to see how you've used these tools in real-world scenarios, so don’t hold back on the details!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and structure your thoughts well. Remember, we’re looking for someone who can communicate complex ideas simply.
Tailor Your Application: Don’t just send a generic application. Take the time to tailor your CV and cover letter to the role of Artifact Expert. Show us how your past experiences align with what we’re looking for!
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 ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Mercor Ai
✨Know Your Artifacts
Before the interview, brush up on your knowledge of analytics artifacts. Familiarise yourself with dashboards, analysis decks, and SQL/Python notebooks. Be ready to discuss examples from your past work that showcase your ability to create and critique these materials.
✨Showcase Your Technical Skills
Make sure you can confidently talk about your experience with SQL, Python, or R. Prepare to share specific projects where you used these tools to derive insights or improve data quality. This will demonstrate your technical prowess and relevance to the role.
✨Communicate Clearly
Since you'll be presenting findings to non-technical stakeholders, practice explaining complex concepts in simple terms. During the interview, focus on clarity and structure in your responses, as this reflects your ability to communicate effectively in the role.
✨Prepare Thoughtful Questions
At the end of the interview, have a few insightful questions ready about the company's data practices or team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.