Analytics Engineer

Analytics Engineer

Full-Time 64000 - 96000 £ / year (est.) No home office possible
Mercor

At a Glance

  • 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: Competitive pay of $80–$120/hour with flexible working hours.
  • Other info: Enjoy a self-directed role with daily application reviews and support available.
  • Why this job: Make an impact by elevating analytical standards in a dynamic environment.
  • Qualifications: 4+ years in data analysis, skilled in SQL, Python or R, and strong communication.

The predicted salary is between 64000 - 96000 £ per year.

About the job 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 Must-Have

  • 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

Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome

For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Analytics Engineer employer: Mercor

Mercor is an exceptional employer that fosters a dynamic and innovative work culture, connecting top-tier talent with leading AI research labs. With the flexibility of remote work, employees enjoy a supportive environment that encourages professional growth and the opportunity to contribute to high-impact projects. The company's commitment to analytical rigor and quality output ensures that team members can thrive while making meaningful contributions to the field of data analysis.
Mercor

Contact Detail:

Mercor Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineer

✨Tip Number 1

Make sure you know your stuff! Brush up on SQL and Python, and be ready to showcase your analytical skills. We want to see how you can elevate the quality of your work, so prepare some examples of your past projects.

✨Tip Number 2

Practice your communication skills! You’ll need to present your findings to non-technical folks, so think about how you can explain complex data in a simple way. We’re all about clarity and impact here!

✨Tip Number 3

Don’t forget to tailor your approach! When you’re applying through our website, make sure your application reflects the specific role and responsibilities. We love seeing candidates who understand what we’re looking for.

✨Tip Number 4

Stay organised and proactive! Keep track of your applications and follow up if you haven’t heard back. We review applications daily, so showing your enthusiasm can really make a difference!

We think you need these skills to ace Analytics Engineer

Data Analysis
SQL
Python
R
Analytical Rigor
Attention to Detail
Written Communication
Presentation Skills
Self-Directed Work
Ad-Hoc Analysis
A/B Testing
Feedback Provision
Artifact Creation
Independent Work

Some tips for your application 🫡

Tailor Your Resume: Make sure your resume highlights your experience in data analysis and analytics engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL and Python expertise!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Analytics Engineer position. We love seeing your personality come through, so keep it engaging and relevant.

Showcase Your Analytical Skills: In your application, include examples of your previous work that demonstrate your analytical rigor. Whether it’s insight decks or A/B-test write-ups, we want to see how you elevate the quality of your outputs!

Follow the Application Steps: Don’t forget to complete all parts of the application process on our website! It only takes 20–30 minutes, and we review applications daily, so get yours in to be considered for this exciting opportunity.

How to prepare for a job interview at Mercor

✨Know Your Tools

Make sure you're comfortable with SQL, Python, or R before the interview. Brush up on your 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 provided detailed feedback or created analytics artifacts. 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.

✨Be Self-Directed

Highlight your experience working independently and managing your time effectively. Share examples of how you've delivered consistent, high-quality work on a flexible schedule, as this is crucial for the role.

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