Remote Pricing & Revenue Economics Evaluator

Remote Pricing & Revenue Economics Evaluator

Freelance 50000 - 60000 £ / year (est.) Working from home possible
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At a Glance

  • Tasks: Evaluate AI-generated work products for accuracy and quality, providing structured feedback.
  • Company: Join Obsidian, a leader in innovative AI solutions.
  • Benefits: Enjoy remote work flexibility and competitive compensation.
  • Other info: Work in a dynamic environment with opportunities for professional growth.
  • Why this job: Make an impact by ensuring high-quality outputs in the exciting field of AI.
  • Qualifications: 5+ years of experience in pricing or revenue economics and strong proficiency in English.

The predicted salary is between 50000 - 60000 £ per year.

Obsidian is hiring expert Evaluators in Pricing / ROI / revenue economics to review AI-generated work products for accuracy and quality. This position requires deep expertise in the field and involves grading outputs on their correctness.

The role offers a remote working opportunity, focusing on evaluating artifacts and providing structured feedback.

Candidates must have 5+ years of relevant experience and proficiency in English, Microsoft Office, and Google Workspace.

Remote Pricing & Revenue Economics Evaluator employer: Obsidian

At Obsidian, we pride ourselves on fostering a dynamic and inclusive work culture that values expertise and innovation. As a Remote Pricing & Revenue Economics Evaluator, you will enjoy the flexibility of remote work while contributing to high-quality AI-generated outputs, with ample opportunities for professional growth and development in a supportive environment. Join us to be part of a forward-thinking team that prioritises accuracy and excellence in every project.

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Contact Details:

Obsidian Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Pricing & Revenue Economics Evaluator

Tap into Freelance Platforms

Don’t just sit around waiting for gigs to come to you! Head over to platforms like Upwork or Freelancer, where businesses are constantly looking for freelance talent in business intelligence. Create a killer profile showcasing your skills and past projects to attract potential clients.

Show Off Your Expertise

Visibility is key in the freelance world! Start a blog or vlog where you share insights, tutorials, or case studies related to business intelligence. This not only showcases your expertise but also helps you build an audience that could turn into future clients.

Join Business Intelligence Communities

Networking is crucial, so dive into communities like LinkedIn groups focused on business intelligence or data analysis. Engage in discussions, share your insights, and make valuable connections that could lead to freelance opportunities or referrals.

Keep Your Portfolio Fresh

Make sure your portfolio is up-to-date with your latest projects in business intelligence. Include detailed case studies that demonstrate how you've solved problems or improved processes for clients. This will make you stand out when you apply through our website or reach out to potential clients directly!

We think you need these skills to ace Remote Pricing & Revenue Economics Evaluator

Expertise in Pricing
ROI Analysis
Revenue Economics
Quality Assessment
Grading Accuracy
Structured Feedback
5+ Years of Relevant Experience

Some tips for your application 🫡

Show Off Those Data Skills!:In the world of business intelligence, your analytical prowess is key. Make sure to highlight your experience with data visualisation tools like Tableau or Power BI in your CV. A well-crafted portfolio showcasing your past projects—complete with challenges faced and how you overcame them—will grab our attention at Obsidian.

Provide a Snapshot of Your Services:As a freelancer, it's essential to be transparent about what you offer. Include a clear outline of your rates, availability, and services in your application. This way, we at Obsidian can easily see how your skills align with our needs—keeping it straightforward works wonders!

Tailor Your Proposal for Us:When applying, don’t forget to tailor your proposal to Obsidian. Mention specific challenges we may face in our industry and how your past experiences can tackle those issues. This personalised touch shows us you’ve done your homework and genuinely care about the role.

Certifications Matter!:If you have any relevant certifications—like ITIL, Six Sigma, or data analytics certificates—make sure they're highlighted in your CV. They can set you apart from other freelancers applying for the Remote Pricing & Revenue Economics Evaluator position at Obsidian. It shows that you're committed to your craft and stay current in this ever-evolving field.

How to prepare for a job interview at Obsidian

Show Off Your Data Visualisation Skills

In business intelligence, how you present data can be just as important as the data itself. Prepare a few examples of dashboards or visual reports from previous projects that showcase your ability to interpret and present complex information clearly. This will help you demonstrate that you not only crunch numbers but also make sense of them in a meaningful way for your clients.

Know Your Tools Inside Out

Freelance roles often require a specific toolkit, like Tableau, Power BI, or SQL. Make sure you're fluent in the tools listed in the job description and even get comfortable showcasing them live or via screen share during the interview. Think about how you would solve potential business problems that might arise in the role using these tools—that’ll show you're ready to jump in.

Pitch Your Project Experience

Since this is a freelance gig, the interview can feel more like a pitch. Be ready to discuss your past projects in a way that highlights the challenges you faced, how you overcame them, and the impact your work had. Bring along a portfolio that illustrates your track record, as this will help potential clients visualise what you can do for them at Obsidian.

Prepare to Discuss Your Approach

In business intelligence, different scenarios can call for different approaches to analysis and data mining. Be prepared to talk about how you would handle specific situations or client requests, showing your problem-solving process. Think about some common scenarios in the industry and how you would tackle them—this can really set you apart from the crowd.